Papers
AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
Yanze Wu, Xintao Wang, GEN LI et al.
An In-depth Study of Stochastic Backpropagation
Jun Fang, Mingze Xu, Hao Chen et al.
An Information-Theoretic Framework for Deep Learning
Hong Jun Jeon, Benjamin Van Roy
An Investigation into Whitening Loss for Self-supervised Learning
Xi Weng, Lei Huang, Lei Zhao et al.
Annihilation of Spurious Minima in Two-Layer ReLU Networks
Yossi Arjevani, Michael Field
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Eloïse Berthier, Ziad Kobeissi, Francis R. Bach
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou, Frederic Koehler, Pragya Sur et al.
Anonymized Histograms in Intermediate Privacy Models
Badih Ghazi, Pritish Kamath, Ravi Kumar et al.
Anonymous Bandits for Multi-User Systems
Hossein Esfandiari, Vahab Mirrokni, Jon Schneider
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
Marius Dragoi, Elena Burceanu, Emanuela Haller et al.
Anticipating Performativity by Predicting from Predictions
Celestine Mendler-Dünner, Frances Ding, Yixin Wang
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
Shitong Luo, Yufeng Su, Xingang Peng et al.
Anytime-Valid Inference For Multinomial Count Data
Michael Lindon, Alan Malek
A PAC-Bayesian Generalization Bound for Equivariant Networks
Arash Behboodi, Gabriele Cesa, Taco S Cohen
A permutation-free kernel two-sample test
Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
Bencheng Yan, Pengjie Wang, Kai Zhang et al.
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
Haoran Xu, Li Jiang, Li Jianxiong et al.
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
Aleksandros Sobczyk, Mathieu Luisier
Approximate Secular Equations for the Cubic Regularization Subproblem
Yihang Gao, Man-Chung Yue, Michael Ng
Approximate Value Equivalence
Christopher Grimm, Andre Barreto, Satinder P. Singh
Approximation with CNNs in Sobolev Space: with Applications to Classification
Guohao Shen, Yuling Jiao, Yuanyuan Lin et al.
A Practical, Progressively-Expressive GNN
Lingxiao Zhao, Neil Shah, Leman Akoglu
A Probabilistic Graph Coupling View of Dimension Reduction
Hugues Van Assel, Thibault Espinasse, Julien Chiquet et al.
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi