(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
NeurIPS 2023 | December 2023
December 10, 2023 –
December 16, 2023
Microsoft at NeurIPS 2023
Central Standard Time (UTC -6)
Location: New Orleans, LA
Publications
Publications
Publications by Year
-
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi, Lester Mackey
NeurIPS 2023 | December 2023
A Meta Learning Model for Scalable Hyperbolic Graph Neural Networks
Nurendra Choudhary, Nikhil Rao, Chandan Reddy
NeurIPS 2023 | October 2023
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
Shafi Goldwasser, David Gruber, Adam Tauman Kalai, Orr Paradise
NeurIPS 2023 | December 2023
A Unified Model and Dimension for Interactive Estimation
Nataly Brukhim, Miro Dudík, Aldo Pacchiano, Robert Schapire
NeurIPS 2023 | December 2023
Adversarial Model for Offline Reinforcement Learning
Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng
NeurIPS 2023 | December 2023
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
NeurIPS 2023 | December 2023
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
NeurIPS 2023 | May 2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, zhongyu wei, Jian Guo, Nan Duan, Weizhu Chen
NeurIPS 2023 | December 2023
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
NeurIPS 2023 | December 2023
Augmenting Language Models with Long-Term Memory
Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
NeurIPS 2023 | October 2023
Bandit Social Learning: Exploration under Myopic Behavior
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
NeurIPS 2023 | October 2023
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
NeurIPS 2023 | October 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie
NeurIPS 2023 | October 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
NeurIPS 2023 (Oral) | December 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes
Abhinav Kumar, Amit Deshpande, Amit Sharma
NeurIPS 2023 | October 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | December 2023
Clifford Group Equivariant Neural Networks
David Ruhe, Johannes Brandstetter, Patrick Forré
NeurIPS 2023 | October 2023
Closing the gap between the upper bound and lower bound of Adam’s iteration complexity
Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen
NeurIPS 2023 | October 2023
Collaborative Development of NLP models
Fereshte Khani, Marco Tulio Ribeiro
NeurIPS 2023 | October 2023
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar
NeurIPS 2023 | December 2023
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Michael Zeng, Xuedong Huang
NeurIPS 2023 | October 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
NeurIPS 2023 | October 2023
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
NeurIPS 2023 | December 2023
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Zihan Luo, Jianxun Lian, Hong Huang, Xiran Song, Xing Xie, Hai Jin
NeurIPS 2023 | October 2023
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
NeurIPS 2023 | October 2023
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad, Nicolas Le Roux
NeurIPS 2023 | October 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
NeurIPS 2023 | June 2023
Outstanding Paper Award
Differentially Private Approximate Near Neighbor Counting in High Dimensions
Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayana
NeurIPS 2023 | December 2023
Spotlight Presentation
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall’s Rank Correlation
Kaipeng Zheng, Huishuai Zhang, Weiran Huang
NeurIPS 2023 | December 2023
Dissecting In-Context Learning of Translations in GPTs
Vikas Raunak, Arul Menezes, Hany Hassan Awadalla
NeurIPS 2023 | December 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
NeurIPS 2023 | October 2023
DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening
Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan
NeurIPS 2023 | October 2023
Efficient Model-Free Exploration in Low-Rank MDPs
Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin
NeurIPS 2023 | October 2023
Efficient Subgame Refinement for Extensive-form Games
Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
NeurIPS 2023 | October 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields
Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao
NeurIPS 2023 | October 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
Exposing Attention Glitches with Flip-Flop Language Modeling
Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
NeurIPS 2023 | October 2023
Extensible Prompts for Language Models on Zero-shot Language Style Customization
Tao Ge, Hu Jing, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei
NeurIPS 2023 | October 2023
FABind: Fast and Accurate Protein-Ligand Binding
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
NeurIPS 2023 | October 2023
Feature Decoupling Alignment for Fine-tuning Pre-trained Models in Few-shot Learning
Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang
NeurIPS 2023 | October 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
NeurIPS 2023 | October 2023
Geometric Transformer with Interatomic Positional Encoding
Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu
NeurIPS 2023 | October 2023
GlyphControl: Glyph Conditional Control for Visual Text Generation
Yukang Yang, Dongnan Gui, Yuhui Yuan, Haisong Ding, Han Hu, Kai Chen
NeurIPS 2023 | October 2023
Guiding Large Language Models via Directional Stimulus Prompting
Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan
NeurIPS 2023 | July 2023
High Precision Causal Model Evaluation with Non-Randomized Trials
Chao Ma, Cheng Zhang
NeurIPS 2023 | October 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
NeurIPS 2023 | May 2023
Idempotent Learned Image Compression with Right-Inverse
Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang
NeurIPS 2023 | October 2023
Ignorance is Bliss: Robust Control via Information Gating
Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman
NeurIPS 2023 | October 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike, Yuqing Yang
NeurIPS 2023 | October 2023
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
NeurIPS 2023 | October 2023
Joint processing of linguistic properties in brains and language models
Subba Reddy Oota, Manish Gupta, Mariya Toneva
NeurIPS 2023 | November 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
NeurIPS 2023 | October 2023
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Johan Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei
NeurIPS 2023 | March 2023
Language Models are Visual Reasoning Coordinators
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
NeurIPS 2023 | May 2023
LayoutPrompter: Awaken the Design Ability of Large Language Models
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang
NeurIPS 2023 | October 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
NeurIPS 2023 | October 2023
Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
NeurIPS 2023 | September 2023
Learning Rate Free Bayesian Inference in Constrained Domains
Lester Mackey, Louis Sharrock, Christopher Nemeth
NeurIPS 2023 | May 2023
Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | June 2023
Learning threshold neurons via the “edge of stability”
Kwangjun Ahn, Sébastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang
NeurIPS 2023 | October 2023
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
NeurIPS 2023 | October 2023
Learning Trajectories are Generalization Indicators
Jingwen Fu, Zhizheng Zhang, Dacheng Yin, Yan Lu, Nanning Zheng
NeurIPS 2023 | June 2023
Lie Point Symmetry and Physics-Informed Networks
Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
NeurIPS 2023 | October 2023
Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
NeurIPS 2023 | October 2023
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
Yung-Hsuan Lai, Yen-Chun Chen, Yu-Chiang Frank Wang
NeurIPS 2023 | October 2023
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
NeurIPS 2023 | October 2023
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
NeurIPS 2023 | June 2023
Preprint
Multi-Fidelity Multi-Armed Bandits Revisited
Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
Multi-Head Adapter Routing for Cross-Task Generalization
Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
NeurIPS 2023 | October 2023
Multimodal Agent — Localized Symbolic Knowledge Distillation for Visual Commonsense Models
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Proceedings of NeurIPS 2023 | October 2023
On the Pareto Front of Multilingual Neural Machine Translation
Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
NeurIPS 2023 | April 2023
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong
NeurIPS 2023 | October 2023
PaintSeg: Painting Pixels for Training-free Segmentation
Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Bhiksha Raj
NeurIPS 2023 | June 2023
Partial Matrix Completion
Varun Kanade, Elad Hazan, Adam Tauman Kalai
NeurIPS 2023 | August 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
NeurIPS 2023 | April 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard Turner, Johannes Brandstetter
NeurIPS 2023 | August 2023
Pengi: An Audio Language Model for Audio Tasks
Soham Deshmukh, Benjamin Elizalde, Rita Singh, Huaming Wang
NeurIPS 2023 | May 2023
Practical Contextual Bandits with Feedback Graphs
Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro
NeurIPS 2023 | June 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
Don Kurian Dennis, Abhishek Shetty, Anish Sevekari, Kazuhito Koishida, Virginia Smith
NeurIPS 2023 | February 2023
Q-DM: An Efficient Low-bit Quantized Diffusion Model
Yanjing Li, Sheng Xu, Xianbin Cao, Baochang Zhang, Xiao Sun
NeurIPS 2023 | October 2023
Rank-DETR for High Quality Object Detection
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
NeurIPS 2023 | October 2023
Real-time Animation Generation and Control on Rigged Models via Large Language Models
Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier
NeurIPS 2023 | December 2023
Spotlight Paper
Resource Tradeoffs for Deep Feature Learning: Data, Compute, Width, and Luck
Benjamin Edelman, Surbhi Goel, Sham Kakade, Eran Malach, Cyril Zhang
NeurIPS 2023 | October 2023
Scalable Fair Influence Maximization
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
NeurIPS 2023 | June 2023
Scattering Vision Transformer: Spectral Mixing Matters
Badri Patro, Vijay Agneeswaran
NeurIPS 2023 | October 2023
Segment Everything Everywhere All at Once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
NeurIPS 2023 | July 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Hammaad Adam, Fan Yin, Mary Hu, Neil Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke
NeurIPS 2023 | June 2023
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Sparse Modular Activation for Efficient Sequence Modeling
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
NeurIPS 2023 | July 2023
Structured Semidefinite Programming for Recovering Structured Preconditioners
Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian
NeurIPS 2023 | October 2023
Survival Instinct in Offline Reinforcement Learning
Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng
NeurIPS 2023 | December 2023
SPOTLIGHT
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
NeurIPS 2023 | December 2023
TextDiffuser: Diffusion Models as Text Painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
NeurIPS 2023 | May 2023
The probability flow ODE is provably fast
Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
NeurIPS 2023 | May 2023
Tight Bounds for Volumetric Spanners and Applications
Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian
NeurIPS 2023 | December 2023
Time-uniform confidence bands for the CDF under nonstationarity
Paul Mineiro, Steven R. Howard
NeurIPS 2023 | February 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
NeurIPS 2023 | February 2023
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
Jun Yin, Senzhang Wang, Hao Yang, Chaozhuo Li, Jianxun Lian
NeurIPS 2023 | October 2023
Uncovering and Quantifying Social Biases in Code Generation
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
NeurIPS 2023 | May 2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
NeurIPS 2023 | May 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
Jun Yin, Senzhang Wang, Chaozhuo Li, Xing Xie, Jianxin Wang
NeurIPS 2023 | October 2023
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
NeurIPS 2023 | April 2023
Oral Presentation Project Page: https://llava-vl.github.io/
-
Optimizing Prompts for Text-to-Image Generation
Yaru Hao, Zewen Chi, Li Dong, Furu Wei
NeurIPS 2023 | December 2022
Publications by Research Area
-
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | December 2023
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar
NeurIPS 2023 | December 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
NeurIPS 2023 | December 2023
Differentially Private Approximate Near Neighbor Counting in High Dimensions
Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayana
NeurIPS 2023 | December 2023
Spotlight Presentation
Scalable Fair Influence Maximization
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
NeurIPS 2023 | June 2023
Tight Bounds for Volumetric Spanners and Applications
Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian
NeurIPS 2023 | December 2023
-
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
NeurIPS 2023 | December 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi, Lester Mackey
NeurIPS 2023 | December 2023
A Meta Learning Model for Scalable Hyperbolic Graph Neural Networks
Nurendra Choudhary, Nikhil Rao, Chandan Reddy
NeurIPS 2023 | October 2023
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
Shafi Goldwasser, David Gruber, Adam Tauman Kalai, Orr Paradise
NeurIPS 2023 | December 2023
A Unified Model and Dimension for Interactive Estimation
Nataly Brukhim, Miro Dudík, Aldo Pacchiano, Robert Schapire
NeurIPS 2023 | December 2023
Adversarial Model for Offline Reinforcement Learning
Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng
NeurIPS 2023 | December 2023
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
NeurIPS 2023 | December 2023
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
NeurIPS 2023 | May 2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, zhongyu wei, Jian Guo, Nan Duan, Weizhu Chen
NeurIPS 2023 | December 2023
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
NeurIPS 2023 | December 2023
Augmenting Language Models with Long-Term Memory
Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
NeurIPS 2023 | October 2023
Bandit Social Learning: Exploration under Myopic Behavior
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
NeurIPS 2023 | October 2023
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
NeurIPS 2023 | October 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie
NeurIPS 2023 | October 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
NeurIPS 2023 (Oral) | December 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes
Abhinav Kumar, Amit Deshpande, Amit Sharma
NeurIPS 2023 | October 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | December 2023
Clifford Group Equivariant Neural Networks
David Ruhe, Johannes Brandstetter, Patrick Forré
NeurIPS 2023 | October 2023
Closing the gap between the upper bound and lower bound of Adam’s iteration complexity
Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen
NeurIPS 2023 | October 2023
Collaborative Development of NLP models
Fereshte Khani, Marco Tulio Ribeiro
NeurIPS 2023 | October 2023
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Michael Zeng, Xuedong Huang
NeurIPS 2023 | October 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
NeurIPS 2023 | October 2023
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
NeurIPS 2023 | December 2023
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Zihan Luo, Jianxun Lian, Hong Huang, Xiran Song, Xing Xie, Hai Jin
NeurIPS 2023 | October 2023
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
NeurIPS 2023 | October 2023
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad, Nicolas Le Roux
NeurIPS 2023 | October 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
NeurIPS 2023 | June 2023
Outstanding Paper Award
Differentially Private Approximate Near Neighbor Counting in High Dimensions
Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayana
NeurIPS 2023 | December 2023
Spotlight Presentation
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall’s Rank Correlation
Kaipeng Zheng, Huishuai Zhang, Weiran Huang
NeurIPS 2023 | December 2023
Dissecting In-Context Learning of Translations in GPTs
Vikas Raunak, Arul Menezes, Hany Hassan Awadalla
NeurIPS 2023 | December 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
NeurIPS 2023 | October 2023
DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening
Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan
NeurIPS 2023 | October 2023
Efficient Model-Free Exploration in Low-Rank MDPs
Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin
NeurIPS 2023 | October 2023
Efficient Subgame Refinement for Extensive-form Games
Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
NeurIPS 2023 | October 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields
Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao
NeurIPS 2023 | October 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
Exposing Attention Glitches with Flip-Flop Language Modeling
Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
NeurIPS 2023 | October 2023
Extensible Prompts for Language Models on Zero-shot Language Style Customization
Tao Ge, Hu Jing, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei
NeurIPS 2023 | October 2023
FABind: Fast and Accurate Protein-Ligand Binding
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
NeurIPS 2023 | October 2023
Feature Decoupling Alignment for Fine-tuning Pre-trained Models in Few-shot Learning
Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang
NeurIPS 2023 | October 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
NeurIPS 2023 | October 2023
Geometric Transformer with Interatomic Positional Encoding
Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu
NeurIPS 2023 | October 2023
GlyphControl: Glyph Conditional Control for Visual Text Generation
Yukang Yang, Dongnan Gui, Yuhui Yuan, Haisong Ding, Han Hu, Kai Chen
NeurIPS 2023 | October 2023
Guiding Large Language Models via Directional Stimulus Prompting
Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan
NeurIPS 2023 | July 2023
High Precision Causal Model Evaluation with Non-Randomized Trials
Chao Ma, Cheng Zhang
NeurIPS 2023 | October 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
NeurIPS 2023 | May 2023
Idempotent Learned Image Compression with Right-Inverse
Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang
NeurIPS 2023 | October 2023
Ignorance is Bliss: Robust Control via Information Gating
Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman
NeurIPS 2023 | October 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike, Yuqing Yang
NeurIPS 2023 | October 2023
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
NeurIPS 2023 | October 2023
Joint processing of linguistic properties in brains and language models
Subba Reddy Oota, Manish Gupta, Mariya Toneva
NeurIPS 2023 | November 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
NeurIPS 2023 | October 2023
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Johan Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei
NeurIPS 2023 | March 2023
Language Models are Visual Reasoning Coordinators
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
NeurIPS 2023 | May 2023
LayoutPrompter: Awaken the Design Ability of Large Language Models
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang
NeurIPS 2023 | October 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
NeurIPS 2023 | October 2023
Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
NeurIPS 2023 | September 2023
Learning Rate Free Bayesian Inference in Constrained Domains
Lester Mackey, Louis Sharrock, Christopher Nemeth
NeurIPS 2023 | May 2023
Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | June 2023
Learning threshold neurons via the “edge of stability”
Kwangjun Ahn, Sébastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang
NeurIPS 2023 | October 2023
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
NeurIPS 2023 | October 2023
Learning Trajectories are Generalization Indicators
Jingwen Fu, Zhizheng Zhang, Dacheng Yin, Yan Lu, Nanning Zheng
NeurIPS 2023 | June 2023
Lie Point Symmetry and Physics-Informed Networks
Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
NeurIPS 2023 | October 2023
Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
NeurIPS 2023 | October 2023
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
Yung-Hsuan Lai, Yen-Chun Chen, Yu-Chiang Frank Wang
NeurIPS 2023 | October 2023
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
NeurIPS 2023 | October 2023
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
NeurIPS 2023 | June 2023
Preprint
Multi-Fidelity Multi-Armed Bandits Revisited
Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
Multi-Head Adapter Routing for Cross-Task Generalization
Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
NeurIPS 2023 | October 2023
Multimodal Agent — Localized Symbolic Knowledge Distillation for Visual Commonsense Models
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Proceedings of NeurIPS 2023 | October 2023
On the Pareto Front of Multilingual Neural Machine Translation
Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
NeurIPS 2023 | April 2023
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong
NeurIPS 2023 | October 2023
Optimizing Prompts for Text-to-Image Generation
Yaru Hao, Zewen Chi, Li Dong, Furu Wei
NeurIPS 2023 | December 2022
PaintSeg: Painting Pixels for Training-free Segmentation
Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Bhiksha Raj
NeurIPS 2023 | June 2023
Partial Matrix Completion
Varun Kanade, Elad Hazan, Adam Tauman Kalai
NeurIPS 2023 | August 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
NeurIPS 2023 | April 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard Turner, Johannes Brandstetter
NeurIPS 2023 | August 2023
Pengi: An Audio Language Model for Audio Tasks
Soham Deshmukh, Benjamin Elizalde, Rita Singh, Huaming Wang
NeurIPS 2023 | May 2023
Practical Contextual Bandits with Feedback Graphs
Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro
NeurIPS 2023 | June 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
Don Kurian Dennis, Abhishek Shetty, Anish Sevekari, Kazuhito Koishida, Virginia Smith
NeurIPS 2023 | February 2023
Q-DM: An Efficient Low-bit Quantized Diffusion Model
Yanjing Li, Sheng Xu, Xianbin Cao, Baochang Zhang, Xiao Sun
NeurIPS 2023 | October 2023
Rank-DETR for High Quality Object Detection
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
NeurIPS 2023 | October 2023
Real-time Animation Generation and Control on Rigged Models via Large Language Models
Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier
NeurIPS 2023 | December 2023
Spotlight Paper
Resource Tradeoffs for Deep Feature Learning: Data, Compute, Width, and Luck
Benjamin Edelman, Surbhi Goel, Sham Kakade, Eran Malach, Cyril Zhang
NeurIPS 2023 | October 2023
Scalable Fair Influence Maximization
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
NeurIPS 2023 | June 2023
Scattering Vision Transformer: Spectral Mixing Matters
Badri Patro, Vijay Agneeswaran
NeurIPS 2023 | October 2023
Segment Everything Everywhere All at Once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
NeurIPS 2023 | July 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Hammaad Adam, Fan Yin, Mary Hu, Neil Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke
NeurIPS 2023 | June 2023
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Sparse Modular Activation for Efficient Sequence Modeling
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
NeurIPS 2023 | July 2023
Structured Semidefinite Programming for Recovering Structured Preconditioners
Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian
NeurIPS 2023 | October 2023
Survival Instinct in Offline Reinforcement Learning
Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng
NeurIPS 2023 | December 2023
SPOTLIGHT
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
NeurIPS 2023 | December 2023
TextDiffuser: Diffusion Models as Text Painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
NeurIPS 2023 | May 2023
The probability flow ODE is provably fast
Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
NeurIPS 2023 | May 2023
Time-uniform confidence bands for the CDF under nonstationarity
Paul Mineiro, Steven R. Howard
NeurIPS 2023 | February 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
NeurIPS 2023 | February 2023
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
Jun Yin, Senzhang Wang, Hao Yang, Chaozhuo Li, Jianxun Lian
NeurIPS 2023 | October 2023
Uncovering and Quantifying Social Biases in Code Generation
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
NeurIPS 2023 | May 2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
NeurIPS 2023 | May 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
Jun Yin, Senzhang Wang, Chaozhuo Li, Xing Xie, Jianxin Wang
NeurIPS 2023 | October 2023
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
NeurIPS 2023 | April 2023
Oral Presentation Project Page: https://llava-vl.github.io/
-
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
NeurIPS 2023 | May 2023
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
Yung-Hsuan Lai, Yen-Chun Chen, Yu-Chiang Frank Wang
NeurIPS 2023 | October 2023
Pengi: An Audio Language Model for Audio Tasks
Soham Deshmukh, Benjamin Elizalde, Rita Singh, Huaming Wang
NeurIPS 2023 | May 2023
-
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
NeurIPS 2023 | May 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
NeurIPS 2023 (Oral) | December 2023
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | December 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
NeurIPS 2023 | May 2023
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Johan Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei
NeurIPS 2023 | March 2023
Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | June 2023
PaintSeg: Painting Pixels for Training-free Segmentation
Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Bhiksha Raj
NeurIPS 2023 | June 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
NeurIPS 2023 | April 2023
Segment Everything Everywhere All at Once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
NeurIPS 2023 | July 2023
TextDiffuser: Diffusion Models as Text Painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
NeurIPS 2023 | May 2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
NeurIPS 2023 | May 2023
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
NeurIPS 2023 | April 2023
Oral Presentation Project Page: https://llava-vl.github.io/
-
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
-
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
NeurIPS 2023 | May 2023
Dissecting In-Context Learning of Translations in GPTs
Vikas Raunak, Arul Menezes, Hany Hassan Awadalla
NeurIPS 2023 | December 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
Real-time Animation Generation and Control on Rigged Models via Large Language Models
Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier
NeurIPS 2023 | December 2023
Spotlight Paper
TextDiffuser: Diffusion Models as Text Painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
NeurIPS 2023 | May 2023
Uncovering and Quantifying Social Biases in Code Generation
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
NeurIPS 2023 | May 2023
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
NeurIPS 2023 | April 2023
Oral Presentation Project Page: https://llava-vl.github.io/
-
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
NeurIPS 2023 | June 2023
Preprint
-
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
NeurIPS 2023 | October 2023
Partial Matrix Completion
Varun Kanade, Elad Hazan, Adam Tauman Kalai
NeurIPS 2023 | August 2023
-
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
NeurIPS 2023 | June 2023
Outstanding Paper Award
Differentially Private Approximate Near Neighbor Counting in High Dimensions
Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayana
NeurIPS 2023 | December 2023
Spotlight Presentation
-
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | December 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Publications by Type
-
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
NeurIPS 2023 | December 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi, Lester Mackey
NeurIPS 2023 | December 2023
A Meta Learning Model for Scalable Hyperbolic Graph Neural Networks
Nurendra Choudhary, Nikhil Rao, Chandan Reddy
NeurIPS 2023 | October 2023
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
Shafi Goldwasser, David Gruber, Adam Tauman Kalai, Orr Paradise
NeurIPS 2023 | December 2023
A Unified Model and Dimension for Interactive Estimation
Nataly Brukhim, Miro Dudík, Aldo Pacchiano, Robert Schapire
NeurIPS 2023 | December 2023
Adversarial Model for Offline Reinforcement Learning
Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng
NeurIPS 2023 | December 2023
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
NeurIPS 2023 | December 2023
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
NeurIPS 2023 | May 2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, zhongyu wei, Jian Guo, Nan Duan, Weizhu Chen
NeurIPS 2023 | December 2023
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
NeurIPS 2023 | December 2023
Augmenting Language Models with Long-Term Memory
Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
NeurIPS 2023 | October 2023
Bandit Social Learning: Exploration under Myopic Behavior
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
NeurIPS 2023 | October 2023
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
NeurIPS 2023 | October 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie
NeurIPS 2023 | October 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
NeurIPS 2023 (Oral) | December 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes
Abhinav Kumar, Amit Deshpande, Amit Sharma
NeurIPS 2023 | October 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | December 2023
Clifford Group Equivariant Neural Networks
David Ruhe, Johannes Brandstetter, Patrick Forré
NeurIPS 2023 | October 2023
Closing the gap between the upper bound and lower bound of Adam’s iteration complexity
Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen
NeurIPS 2023 | October 2023
Collaborative Development of NLP models
Fereshte Khani, Marco Tulio Ribeiro
NeurIPS 2023 | October 2023
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar
NeurIPS 2023 | December 2023
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Michael Zeng, Xuedong Huang
NeurIPS 2023 | October 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
NeurIPS 2023 | October 2023
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
NeurIPS 2023 | December 2023
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Zihan Luo, Jianxun Lian, Hong Huang, Xiran Song, Xing Xie, Hai Jin
NeurIPS 2023 | October 2023
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
NeurIPS 2023 | October 2023
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad, Nicolas Le Roux
NeurIPS 2023 | October 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
NeurIPS 2023 | June 2023
Outstanding Paper Award
Differentially Private Approximate Near Neighbor Counting in High Dimensions
Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayana
NeurIPS 2023 | December 2023
Spotlight Presentation
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall’s Rank Correlation
Kaipeng Zheng, Huishuai Zhang, Weiran Huang
NeurIPS 2023 | December 2023
Dissecting In-Context Learning of Translations in GPTs
Vikas Raunak, Arul Menezes, Hany Hassan Awadalla
NeurIPS 2023 | December 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
NeurIPS 2023 | October 2023
DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening
Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan
NeurIPS 2023 | October 2023
Efficient Model-Free Exploration in Low-Rank MDPs
Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin
NeurIPS 2023 | October 2023
Efficient Subgame Refinement for Extensive-form Games
Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
NeurIPS 2023 | October 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields
Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao
NeurIPS 2023 | October 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
Exposing Attention Glitches with Flip-Flop Language Modeling
Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
NeurIPS 2023 | October 2023
Extensible Prompts for Language Models on Zero-shot Language Style Customization
Tao Ge, Hu Jing, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei
NeurIPS 2023 | October 2023
FABind: Fast and Accurate Protein-Ligand Binding
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
NeurIPS 2023 | October 2023
Feature Decoupling Alignment for Fine-tuning Pre-trained Models in Few-shot Learning
Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang
NeurIPS 2023 | October 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
NeurIPS 2023 | October 2023
Geometric Transformer with Interatomic Positional Encoding
Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu
NeurIPS 2023 | October 2023
GlyphControl: Glyph Conditional Control for Visual Text Generation
Yukang Yang, Dongnan Gui, Yuhui Yuan, Haisong Ding, Han Hu, Kai Chen
NeurIPS 2023 | October 2023
Guiding Large Language Models via Directional Stimulus Prompting
Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan
NeurIPS 2023 | July 2023
High Precision Causal Model Evaluation with Non-Randomized Trials
Chao Ma, Cheng Zhang
NeurIPS 2023 | October 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
NeurIPS 2023 | May 2023
Idempotent Learned Image Compression with Right-Inverse
Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang
NeurIPS 2023 | October 2023
Ignorance is Bliss: Robust Control via Information Gating
Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman
NeurIPS 2023 | October 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike, Yuqing Yang
NeurIPS 2023 | October 2023
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
NeurIPS 2023 | October 2023
Joint processing of linguistic properties in brains and language models
Subba Reddy Oota, Manish Gupta, Mariya Toneva
NeurIPS 2023 | November 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
NeurIPS 2023 | October 2023
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Johan Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei
NeurIPS 2023 | March 2023
Language Models are Visual Reasoning Coordinators
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
NeurIPS 2023 | May 2023
LayoutPrompter: Awaken the Design Ability of Large Language Models
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang
NeurIPS 2023 | October 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
NeurIPS 2023 | October 2023
Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
NeurIPS 2023 | September 2023
Learning Rate Free Bayesian Inference in Constrained Domains
Lester Mackey, Louis Sharrock, Christopher Nemeth
NeurIPS 2023 | May 2023
Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu
NeurIPS 2023 | June 2023
Learning threshold neurons via the “edge of stability”
Kwangjun Ahn, Sébastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang
NeurIPS 2023 | October 2023
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
NeurIPS 2023 | October 2023
Learning Trajectories are Generalization Indicators
Jingwen Fu, Zhizheng Zhang, Dacheng Yin, Yan Lu, Nanning Zheng
NeurIPS 2023 | June 2023
Lie Point Symmetry and Physics-Informed Networks
Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
NeurIPS 2023 | October 2023
Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
NeurIPS 2023 | October 2023
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
Yung-Hsuan Lai, Yen-Chun Chen, Yu-Chiang Frank Wang
NeurIPS 2023 | October 2023
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
NeurIPS 2023 | October 2023
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
NeurIPS 2023 | June 2023
Preprint
Multi-Fidelity Multi-Armed Bandits Revisited
Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
Multi-Head Adapter Routing for Cross-Task Generalization
Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
NeurIPS 2023 | October 2023
Multimodal Agent — Localized Symbolic Knowledge Distillation for Visual Commonsense Models
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Proceedings of NeurIPS 2023 | October 2023
On the Pareto Front of Multilingual Neural Machine Translation
Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
NeurIPS 2023 | April 2023
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong
NeurIPS 2023 | October 2023
Optimizing Prompts for Text-to-Image Generation
Yaru Hao, Zewen Chi, Li Dong, Furu Wei
NeurIPS 2023 | December 2022
PaintSeg: Painting Pixels for Training-free Segmentation
Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang, Bhiksha Raj
NeurIPS 2023 | June 2023
Partial Matrix Completion
Varun Kanade, Elad Hazan, Adam Tauman Kalai
NeurIPS 2023 | August 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
NeurIPS 2023 | April 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard Turner, Johannes Brandstetter
NeurIPS 2023 | August 2023
Pengi: An Audio Language Model for Audio Tasks
Soham Deshmukh, Benjamin Elizalde, Rita Singh, Huaming Wang
NeurIPS 2023 | May 2023
Practical Contextual Bandits with Feedback Graphs
Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro
NeurIPS 2023 | June 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
Don Kurian Dennis, Abhishek Shetty, Anish Sevekari, Kazuhito Koishida, Virginia Smith
NeurIPS 2023 | February 2023
Q-DM: An Efficient Low-bit Quantized Diffusion Model
Yanjing Li, Sheng Xu, Xianbin Cao, Baochang Zhang, Xiao Sun
NeurIPS 2023 | October 2023
Rank-DETR for High Quality Object Detection
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
NeurIPS 2023 | October 2023
Real-time Animation Generation and Control on Rigged Models via Large Language Models
Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier
NeurIPS 2023 | December 2023
Spotlight Paper
Resource Tradeoffs for Deep Feature Learning: Data, Compute, Width, and Luck
Benjamin Edelman, Surbhi Goel, Sham Kakade, Eran Malach, Cyril Zhang
NeurIPS 2023 | October 2023
Scalable Fair Influence Maximization
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
NeurIPS 2023 | June 2023
Scattering Vision Transformer: Spectral Mixing Matters
Badri Patro, Vijay Agneeswaran
NeurIPS 2023 | October 2023
Segment Everything Everywhere All at Once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
NeurIPS 2023 | July 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Hammaad Adam, Fan Yin, Mary Hu, Neil Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke
NeurIPS 2023 | June 2023
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Sparse Modular Activation for Efficient Sequence Modeling
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
NeurIPS 2023 | July 2023
Structured Semidefinite Programming for Recovering Structured Preconditioners
Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian
NeurIPS 2023 | October 2023
Survival Instinct in Offline Reinforcement Learning
Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng
NeurIPS 2023 | December 2023
SPOTLIGHT
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
NeurIPS 2023 | December 2023
TextDiffuser: Diffusion Models as Text Painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
NeurIPS 2023 | May 2023
The probability flow ODE is provably fast
Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
NeurIPS 2023 | May 2023
Tight Bounds for Volumetric Spanners and Applications
Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian
NeurIPS 2023 | December 2023
Time-uniform confidence bands for the CDF under nonstationarity
Paul Mineiro, Steven R. Howard
NeurIPS 2023 | February 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
NeurIPS 2023 | February 2023
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
Jun Yin, Senzhang Wang, Hao Yang, Chaozhuo Li, Jianxun Lian
NeurIPS 2023 | October 2023
Uncovering and Quantifying Social Biases in Code Generation
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
NeurIPS 2023 | May 2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
NeurIPS 2023 | May 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
Jun Yin, Senzhang Wang, Chaozhuo Li, Xing Xie, Jianxin Wang
NeurIPS 2023 | October 2023
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
NeurIPS 2023 | April 2023
Oral Presentation Project Page: https://llava-vl.github.io/