Papers
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Yulun Zhang, Huan Wang, Can Qin et al.
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei, Yue Gao, Zhirong Wu et al.
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Ramesha Rakesh Mugaludi, Jogendra Nath Kundu, Varun Jampani et al.
Alignment Attention by Matching Key and Query Distributions
Shujian Zhang, Xinjie Fan, Huangjie Zheng et al.
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Jacob Springer, Melanie Mitchell, Garrett Kenyon
All Tokens Matter: Token Labeling for Training Better Vision Transformers
Zi-Hang Jiang, Qibin Hou, Li Yuan et al.
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
Chengshuai Shi, Haifeng Xu, Wei Xiong et al.
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang et al.
A Max-Min Entropy Framework for Reinforcement Learning
Seungyul Han, Youngchul Sung
A mechanistic multi-area recurrent network model of decision-making
Michael Kleinman, Chandramouli Chandrasekaran, Jonathan Kao
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto, Shixiang (Shane) Gu
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Xingyuan Sun, Tianju Xue, Szymon Rusinkiewicz et al.
Amortized Variational Inference for Simple Hierarchical Models
Abhinav Agrawal, Justin Domke
A Multi-Implicit Neural Representation for Fonts
Pradyumna Reddy, Zhifei Zhang, Zhaowen Wang et al.
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Jiangning Zhang, Chao Xu, Jian Li et al.
Analysis of one-hidden-layer neural networks via the resolvent method
Vanessa Piccolo, Dominik Schröder
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
Junjie Ma, Ji Xu, Arian Maleki
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
Stefano Sarao Mannelli, Pierfrancesco Urbani
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
Yossi Arjevani, Michael Field
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
Souvik Kundu, Qirui Sun, Yao Fu et al.
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
Hao Wang, Yizhe Huang, Rui Gao et al.
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu, Krishnakumar Balasubramanian, Stanislav Volgushev et al.
An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji