Papers
The Natural Language of Actions
Guy Tennenholtz, Shie Mannor
Predicate Exchange: Inference with Declarative Knowledge
Zenna Tavares, Javier Burroni, Edgar Minasyan et al.
Variational Annealing of GANs: A Langevin Perspective
Chenyang Tao, Shuyang Dai, Liqun Chen et al.
Adaptive Neural Trees
Ryutaro Tanno, Kai Arulkumaran, Daniel Alexander et al.
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression
Hanlin Tang, Chen Yu, Xiangru Lian et al.
The Variational Predictive Natural Gradient
Da Tang, Rajesh Ranganath
Correlated Variational Auto-Encoders
Da Tang, Dawen Liang, Tony Jebara et al.
Hierarchical Decompositional Mixtures of Variational Autoencoders
Ping Liang Tan, Robert Peharz
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan, Quoc Le
Making Deep Q-learning methods robust to time discretization
Corentin Tallec, Léonard Blier, Yann Ollivier
Equivariant Transformer Networks
Kai Sheng Tai, Peter Bailis, Gregory Valiant
Accelerated Flow for Probability Distributions
Amirhossein Taghvaei, Prashant Mehta
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
Ryota Suzuki, Ryusuke Takahama, Shun Onoda
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter, Djordje Miladinovic, Bernhard Schölkopf et al.
Active Learning for Decision-Making from Imbalanced Observational Data
Iiris Sundin, Peter Schulam, Eero Siivola et al.
Provably Efficient Imitation Learning from Observation Alone
Wen Sun, Anirudh Vemula, Byron Boots et al.
Contextual Memory Trees
Wen Sun, Alina Beygelzimer, Hal Daumé Iii et al.
Learning Distance for Sequences by Learning a Ground Metric
Bing Su, Ying Wu
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
Yi Su, Lequn Wang, Michele Santacatterina et al.
Learning Optimal Linear Regularizers
Matthew Streeter
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
Asa Cooper Stickland, Iain Murray
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern, William Chan, Jamie Kiros et al.
Faster Attend-Infer-Repeat with Tractable Probabilistic Models
Karl Stelzner, Robert Peharz, Kristian Kersting
Escaping Saddle Points with Adaptive Gradient Methods
Matthew Staib, Sashank Reddi, Satyen Kale et al.