Papers
11,951 papers found
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont et al.
Attentional Constellation Nets for Few-Shot Learning
Weijian Xu, yifan xu, Huaijin Wang et al.
Auction Learning as a Two-Player Game
Jad Rahme, Samy Jelassi, S. Matthew Weinberg
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Yuan Yin, Vincent LE GUEN, Jérémie DONA et al.
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Wang, Jie Ren, Shuyun Lin et al.
A unifying view on implicit bias in training linear neural networks
Chulhee Yun, Shankar Krishnan, Hossein Mobahi
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu, William L. Hamilton, Guodong Long et al.
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Yuchen Jin, Tianyi Zhou, Liangyu Zhao et al.
Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation
Zilu Guo, Zhongqiang Huang, Kenny Q. Zhu et al.
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
Chengyue Gong, Xingchao Liu, Qiang Liu
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
Michael R Zhang, Thomas Paine, Ofir Nachum et al.
Autoregressive Entity Retrieval
Nicola De Cao, Gautier Izacard, Sebastian Riedel et al.
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
Hao Li, Chenxin Tao, Xizhou Zhu et al.
Auxiliary Learning by Implicit Differentiation
Aviv Navon, Idan Achituve, Haggai Maron et al.
AUXILIARY TASK UPDATE DECOMPOSITION: THE GOOD, THE BAD AND THE NEUTRAL
Lucio M. Dery, Yann Dauphin, David Grangier
Average-case Acceleration for Bilinear Games and Normal Matrices
Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang, Maurice Weiler
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Kanishk Gandhi, Gala Stojnic, Brenden M Lake et al.
Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, Yinpeng Dong et al.
Balancing Constraints and Rewards with Meta-Gradient D4PG
Dan A. Calian, Daniel J Mankowitz, Tom Zahavy et al.
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
Shibo Li, Robert Kirby, Shandian Zhe
Batch Reinforcement Learning Through Continuation Method
Yijie Guo, Shengyu Feng, Nicolas Le Roux et al.
Bayesian Context Aggregation for Neural Processes
Michael Volpp, Fabian Flürenbrock, Lukas Grossberger et al.
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake Snell, Richard Zemel
Behavioral Cloning from Noisy Demonstrations
Fumihiro Sasaki, Ryota Yamashina