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43 Results

Spotlight
Tue 6:45 Provably Strict Generalisation Benefit for Equivariant Models
Bryn Elesedy, Sheheryar Zaidi
Oral
Tue 7:00 OmniNet: Omnidirectional Representations from Transformers
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Don Metzler
Poster
Tue 9:00 OmniNet: Omnidirectional Representations from Transformers
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Don Metzler
Poster
Tue 9:00 Provably Strict Generalisation Benefit for Equivariant Models
Bryn Elesedy, Sheheryar Zaidi
Spotlight
Tue 19:30 Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Gu
Poster
Tue 21:00 Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Gu
Spotlight
Wed 5:25 SMG: A Shuffling Gradient-Based Method with Momentum
Trang Tran, Lam Nguyen, Quoc Tran-Dinh
Spotlight
Wed 5:35 Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
Yuan Deng, Sébastien Lahaie, Vahab Mirrokni, Song Zuo
Spotlight
Wed 6:40 TempoRL: Learning When to Act
André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
Oral
Wed 7:00 Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
Tim Kim, Thomas Luo, Jonathan Pillow, Carlos Brody
Spotlight
Wed 7:25 Deep Continuous Networks
Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert
Spotlight
Wed 7:30 SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
Lingxiao YANG, Ru-Yuan Zhang, Lida LI, Xiaohua Xie
Spotlight
Wed 7:35 Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
Aditi Jha, Michael J. Morais, Jonathan Pillow
Spotlight
Wed 7:40 On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
Zahra Babaiee, Ramin Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
Spotlight
Wed 7:45 AGENT: A Benchmark for Core Psychological Reasoning
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Josh Tenenbaum, Tomer Ullman
Poster
Wed 9:00 On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
Zahra Babaiee, Ramin Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
Poster
Wed 9:00 Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
Aditi Jha, Michael J. Morais, Jonathan Pillow
Poster
Wed 9:00 SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
Lingxiao YANG, Ru-Yuan Zhang, Lida LI, Xiaohua Xie
Poster
Wed 9:00 Deep Continuous Networks
Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert
Poster
Wed 9:00 Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
Tim Kim, Thomas Luo, Jonathan Pillow, Carlos Brody
Poster
Wed 9:00 AGENT: A Benchmark for Core Psychological Reasoning
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Josh Tenenbaum, Tomer Ullman
Poster
Wed 9:00 SMG: A Shuffling Gradient-Based Method with Momentum
Trang Tran, Lam Nguyen, Quoc Tran-Dinh
Poster
Wed 9:00 TempoRL: Learning When to Act
André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
Poster
Wed 9:00 Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
Yuan Deng, Sébastien Lahaie, Vahab Mirrokni, Song Zuo
Oral
Wed 19:00 Analysis of stochastic Lanczos quadrature for spectrum approximation
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
Spotlight
Wed 19:20 A Differentiable Point Process with Its Application to Spiking Neural Networks
Hiroshi Kajino
Poster
Wed 21:00 A Differentiable Point Process with Its Application to Spiking Neural Networks
Hiroshi Kajino
Spotlight
Thu 7:25 SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang, Mengye Ren, Richard Zemel
Poster
Thu 9:00 SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang, Mengye Ren, Richard Zemel
Spotlight
Thu 17:20 Model Fusion for Personalized Learning
Thanh Lam, Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet
Spotlight
Thu 17:20 Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang
Spotlight
Thu 17:30 MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
Sophie Laturnus, Philipp Berens
Oral
Thu 18:00 Dimensionality Reduction for the Sum-of-Distances Metric
Zhili Feng, Praneeth Kacham, David Woodruff
Spotlight
Thu 18:30 Disentangling syntax and semantics in the brain with deep networks
Charlotte Caucheteux, Alexandre Gramfort, Jean-Remi King
Spotlight
Thu 20:35 Budgeted Heterogeneous Treatment Effect Estimation
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Spotlight
Thu 20:45 CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Rama Vedantam, Arthur Szlam, Max Nickel, Ari Morcos, Brenden Lake
Poster
Thu 21:00 Dimensionality Reduction for the Sum-of-Distances Metric
Zhili Feng, Praneeth Kacham, David Woodruff
Poster
Thu 21:00 Disentangling syntax and semantics in the brain with deep networks
Charlotte Caucheteux, Alexandre Gramfort, Jean-Remi King
Poster
Thu 21:00 Budgeted Heterogeneous Treatment Effect Estimation
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Poster
Thu 21:00 Model Fusion for Personalized Learning
Thanh Lam, Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet
Poster
Thu 21:00 Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang
Poster
Thu 21:00 CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Rama Vedantam, Arthur Szlam, Max Nickel, Ari Morcos, Brenden Lake
Poster
Thu 21:00 MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
Sophie Laturnus, Philipp Berens