Papers
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
Maciej Wołczyk, Bartosz Wójcik, Klaudia Bałazy et al.
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
Benjamin Biggs, David Novotny, Sebastien Ehrhardt et al.
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb, Winfried Loetzsch, Noel Danz et al.
3D Shape Reconstruction from Vision and Touch
Edward Smith, Roberto Calandra, Adriana Romero et al.
A Bandit Learning Algorithm and Applications to Auction Design
Kim Thang Nguyen
A Bayesian Nonparametrics View into Deep Representations
Michał Jamroż, Marcin Kurdziel, Mateusz Opala
A Bayesian Perspective on Training Speed and Model Selection
Clare Lyle, Lisa Schut, Robin Ru et al.
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis, Jacob Andreas, Marco Baroni et al.
A Biologically Plausible Neural Network for Slow Feature Analysis
David Lipshutz, Charles Windolf, Siavash Golkar et al.
A Boolean Task Algebra for Reinforcement Learning
Geraud Nangue Tasse, Steven James, Benjamin Rosman
A/B Testing in Dense Large-Scale Networks: Design and Inference
Preetam Nandy, Kinjal Basu, Shaunak Chatterjee et al.
A Catalyst Framework for Minimax Optimization
Junchi Yang, Siqi Zhang, Negar Kiyavash et al.
A causal view of compositional zero-shot recognition
Yuval Atzmon, Felix Kreuk, Uri Shalit et al.
A Causal View on Robustness of Neural Networks
Cheng Zhang, Kun Zhang, Yingzhen Li
Accelerating Reinforcement Learning through GPU Atari Emulation
Steven Dalton, iuri frosio
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping
Minjia Zhang, Yuxiong He
Acceleration with a Ball Optimization Oracle
Yair Carmon, Arun Jambulapati, Qijia Jiang et al.
Achieving Equalized Odds by Resampling Sensitive Attributes
Yaniv Romano, Stephen Bates, Emmanuel Candes
A Class of Algorithms for General Instrumental Variable Models
Niki Kilbertus, Matt J Kusner, Ricardo Silva
A Closer Look at Accuracy vs. Robustness
Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang et al.
A Closer Look at the Training Strategy for Modern Meta-Learning
JIAXIN CHEN, Xiao-Ming Wu, Yanke Li et al.
A Combinatorial Perspective on Transfer Learning
Jianan Wang, Eren Sezener, David Budden et al.
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
Fan Wu, Patrick Rebeschini
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
Wei Deng, Guang Lin, Faming Liang