Papers
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration
Kevin Scaman, Ludovic DOS SANTOS, Merwan Barlier et al.
A Simple Language Model for Task-Oriented Dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu et al.
A simple normative network approximates local non-Hebbian learning in the cortex
Siavash Golkar, David Lipshutz, Yanis Bahroun et al.
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
Jiawei Zhang, Peijun Xiao, Ruoyu Sun et al.
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
Omid Sadeghi, Prasanna Raut, Maryam Fazel
A Spectral Energy Distance for Parallel Speech Synthesis
Alexey Gritsenko, Tim Salimans, Rianne van den Berg et al.
Assessing SATNet's Ability to Solve the Symbol Grounding Problem
Oscar Chang, Lampros Flokas, Hod Lipson et al.
Assisted Learning: A Framework for Multi-Organization Learning
Xun Xian, Xinran Wang, Jie Ding et al.
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Jianfei Chen, Yu Gai, Zhewei Yao et al.
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning
Bhavya Kailkhura, Jayaraman Thiagarajan, Qunwei Li et al.
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
Gersende Fort, Eric Moulines, Hoi-To Wai
A Study on Encodings for Neural Architecture Search
Colin White, Willie Neiswanger, Sam Nolen et al.
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Colin Rowat, Ilya Feige
Asymptotically Optimal Exact Minibatch Metropolis-Hastings
Ruqi Zhang, A. Feder Cooper, Christopher M De Sa
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
Ziv Goldfeld, Kristjan Greenewald, Kengo Kato
A Theoretical Framework for Target Propagation
Alexander Meulemans, Francesco Carzaniga, Johan Suykens et al.
A Topological Filter for Learning with Label Noise
Pengxiang Wu, Songzhu Zheng, Mayank Goswami et al.
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput et al.
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy, Mohammadreza Nazari, Davood Hajinezhad et al.
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation
Isabella Pozzi, Sander Bohte, Pieter Roelfsema
Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu, Yongqin Xian, Jiuniu Wang et al.
Attribution Preservation in Network Compression for Reliable Network Interpretation
Geondo Park, June Yong Yang, Sung Ju Hwang et al.
Audeo: Audio Generation for a Silent Performance Video
Kun Su, Xiulong Liu, Eli Shlizerman