Papers
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian, Hasan Hammoud, Guohao Li et al.
Assessing Fairness in the Presence of Missing Data
Yiliang Zhang, Qi Long
Associating Objects with Transformers for Video Object Segmentation
Zongxin Yang, Yunchao Wei, Yi Yang
Associative Memories via Predictive Coding
Tommaso Salvatori, Yuhang Song, Yujian Hong et al.
A Stochastic Newton Algorithm for Distributed Convex Optimization
Brian Bullins, Kshitij Patel, Ohad Shamir et al.
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
Kai Yan, Jie Yan, Chuan Luo et al.
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
Alan Malek, Silvia Chiappa
Asymptotics of representation learning in finite Bayesian neural networks
Jacob Zavatone-Veth, Abdulkadir Canatar, Ben Ruben et al.
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection
Morgane Austern, Vasilis Syrgkanis
Asynchronous Decentralized Online Learning
Jiyan Jiang, Wenpeng Zhang, Jinjie GU et al.
Asynchronous Decentralized SGD with Quantized and Local Updates
Giorgi Nadiradze, Amirmojtaba Sabour, Peter Davies et al.
Asynchronous Stochastic Optimization Robust to Arbitrary Delays
Alon Cohen, Amit Daniely, Yoel Drori et al.
A Theoretical Analysis of Fine-tuning with Linear Teachers
Gal Shachaf, Alon Brutzkus, Amir Globerson
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou, Caiming Xiong, Xiaotong Yuan et al.
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
Dror Freirich, Tomer Michaeli, Ron Meir
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina et al.
A Topological Perspective on Causal Inference
Duligur Ibeling, Thomas Icard
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
Theo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot et al.
Attention Approximates Sparse Distributed Memory
Trenton Bricken, Cengiz Pehlevan
Attention Bottlenecks for Multimodal Fusion
Arsha Nagrani, Shan Yang, Anurag Arnab et al.
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
David Ding, Felix Hill, Adam Santoro et al.
Auditing Black-Box Prediction Models for Data Minimization Compliance
Bashir Rastegarpanah, Krishna Gummadi, Mark Crovella
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang, Chaowei Xiao, Jean Kossaifi et al.
Augmented Shortcuts for Vision Transformers
Yehui Tang, Kai Han, Chang Xu et al.