AMRL: Aggregated Memory For Reinforcement Learning
Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
Mon Session 1 (05:00-07:00 GMT) | Mon Session 3 (12:00-14:00 GMT)
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou
Tues Session 3 (12:00-14:00 GMT) | Tues Session 5 (20:00-22:00 GMT)
Conservative Uncertainty Estimation By Fitting Prior Networks
Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner
Mon Session 2 (08:00-10:00 GMT) | Mon Session 3 (12:00-14:00 GMT)
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal
Wed Session 3 (12:00-14:00 GMT) | Wed Session 4 (17:00-19:00 GMT)
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao, Xizhou Zhu, Steve Lin, Jifeng Dai
Wed Session 4 (17:00-19:00 GMT) | Wed Session 5 (20:00-22:00 GMT)
Disagreement-Regularized Imitation Learning
Kiante Brantley, Wen Sun, Mikael Henaff
Mon Session 2 (08:00-10:00 GMT) | Mon Session 4 (17:00-19:00 GMT)
Effect of Activation Functions on the Training of Overparametrized Neural Nets
Abhishek Panigrahi, Abhishek Shetty, Navin Goyal
Tues Session 2 (08:00-10:00 GMT) | Tues Session 3 (12:00-14:00 GMT)
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
Tues Session 4 (17:00-19:00 GMT) [Video Chat] | Tues Session 5 (20:00-22:00 GMT)
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu
Thurs Session 4 (17:00-19:00 GMT) | Thurs Session 5 (20:00-22:00 GMT)
Graph Constrained Reinforcement Learning for Natural Language Action Spaces
Prithviraj Ammanabrolu, Matthew Hausknecht
Mon Session 1 (05:00-07:00 GMT) | Mon Session 2 (08:00-10:00 GMT)
Incorporating BERT into Neural Machine Translation
Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Tues Session 2 (08:00-10:00 GMT) | Tues Session 3 (12:00-14:00 GMT)
Learning Space Partitions for Nearest Neighbor Search
Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner
Mon Session 1 (05:00-07:00 GMT) [Video Chat] | Mon Session 2 (08:00-10:00 GMT)
Locality And Compositionality In Zero-Shot Learning
Tristan Sylvain, Linda Petrini, Devon Hjelm
Tues Session 4 (17:00-19:00 GMT) | Tues Session 5 (20:00-22:00 GMT)
Low-Resource Knowledge-Grounded Dialogue Generation
Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan
Thurs Session 1 (05:00-07:00 GMT) | Thurs Session 2 (08:00-10:00 GMT)
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
Tues Session 1 (05:00-07:00 GMT) | Tues Session 3 (12:00-14:00 GMT)
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
Tues Session 3 (12:00-14:00 GMT) | Tues Session 5 (20:00-22:00 GMT)
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering
Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin
Tues Session 4 (17:00-19:00 GMT) | Tues Session 5 (20:00-22:00 GMT)
Self-Adversarial Learning with Comparative Discrimination for Text Generation
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou
Thurs Session 2 (08:00-10:00 GMT) | Thurs Session 3 (12:00-14:00 GMT)
Transformer-XH: Multi-evidence Reasoning with Extra Hop Attention
Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul Bennett, Saurabh Tiwary
Thurs Session 1 (05:00-07:00 GMT) | Thurs Session 3 (12:00-14:00 GMT)
Unsupervised Clustering using Pseudo-semi-supervised Learning
Divam Gupta, Ramachandran Ramjee, Nipun Kwatra, Muthian Sivathanu
Mon Session 4 (17:00-19:00 GMT) | Mon Session 5 (20:00-22:00 GMT)
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai
Tues Session 1 (05:00-07:00 GMT) | Tues Session 3 (12:00-14:00 GMT)
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
Thurs Session 2 (08:00-10:00 GMT) | Thurs Session 3 (12:00-14:00 GMT)