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Poster
Tue 1:00 What they do when in doubt: a study of inductive biases in seq2seq learners
Kharitonov Eugene · Rahma Chaabouni
Poster
Tue 1:00 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun · Zhanxing Zhu · Zhouchen Lin
Workshop
Fri 10:51 "Bias and Generalization of Deep Generative Models" by Stefano Ermon, Stanford University
Stefano Ermon
Poster
Thu 9:00 Improving VAEs' Robustness to Adversarial Attack
Matthew Willetts · Alexander Camuto · Tom Rainforth · S Roberts · Christopher Holmes
Poster
Thu 9:00 Learning to Recombine and Resample Data For Compositional Generalization
Ekin Akyürek · Afra Feyza Akyürek · Jacob Andreas
Poster
Thu 17:00 Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
Workshop
Fri 6:00 Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
Workshop
Fri 6:14 Density Approximation in Deep Generative Models with Kernel Transfer Operators
Zhichun Huang
Poster
Thu 17:00 Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
Spotlight
Thu 21:28 Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
Workshop
Fri 12:58 CIGMO: Learning categorical invariant deep generative models from grouped data
Haruo Hosoya
Poster
Wed 1:00 Differentiable Segmentation of Sequences
Erik Scharwächter · Jonathan Lennartz · Emmanuel Müller