Papers
Stacked Capsule Autoencoders
Adam Kosiorek, Sara Sabour, Yee Whye Teh et al.
Topology-Preserving Deep Image Segmentation
Xiaoling Hu, Fuxin Li, Dimitris Samaras et al.
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
Wei Deng, Xiao Zhang, Faming Liang et al.
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
Robert Ness, Kaushal Paneri, Olga Vitek
Tree-Sliced Variants of Wasserstein Distances
Tam Le, Makoto Yamada, Kenji Fukumizu et al.
Sample Adaptive MCMC
Michael Zhu
Combinatorial Bayesian Optimization using the Graph Cartesian Product
Changyong Oh, Jakub Tomczak, Efstratios Gavves et al.
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Yiwen Guo, Ziang Yan, Changshui Zhang
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui, Haotao Wang, Haichuan Yang et al.
Are Sixteen Heads Really Better than One?
Paul Michel, Omer Levy, Graham Neubig
Implicit Posterior Variational Inference for Deep Gaussian Processes
Haibin YU, Yizhou Chen, Bryan Kian Hsiang Low et al.
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn, Sungmin Cha, Donggyu Lee et al.
Shaping Belief States with Generative Environment Models for RL
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse et al.
Interval timing in deep reinforcement learning agents
Ben Deverett, Ryan Faulkner, Meire Fortunato et al.
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara et al.
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp, Mitch Hill, Song-Chun Zhu et al.
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies
Seyed Kamyar Seyed Ghasemipour, Shixiang (Shane) Gu, Richard Zemel
Inducing brain-relevant bias in natural language processing models
Dan Schwartz, Mariya Toneva, Leila Wehbe
Convolution with even-sized kernels and symmetric padding
Shuang Wu, Guanrui Wang, Pei Tang et al.
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.
Sawyer Birnbaum, Volodymyr Kuleshov, Zayd Enam et al.
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Daniel Kumor, Bryant Chen, Elias Bareinboim
Unconstrained Monotonic Neural Networks
Antoine Wehenkel, Gilles Louppe
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas et al.
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha et al.
Region-specific Diffeomorphic Metric Mapping
Zhengyang Shen, Francois-Xavier Vialard, Marc Niethammer