Papers
11,955 papers found
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
Ruicheng Ao, Shicong Cen, Yuejie Chi
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo et al.
A Theoretical Framework for Inference and Learning in Predictive Coding Networks
Beren Millidge, Yuhang Song, Tommaso Salvatori et al.
A theoretical study of inductive biases in contrastive learning
Jeff Z. HaoChen, Tengyu Ma
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
Hongkang Li, Meng Wang, Sijia Liu et al.
A Theory of Dynamic Benchmarks
Ali Shirali, Rediet Abebe, Moritz Hardt
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie, Nam H Nguyen, Phanwadee Sinthong et al.
AudioGen: Textually Guided Audio Generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak et al.
Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps
Lu Han, Han-Jia Ye, De-Chuan Zhan
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
Ziqi Wang, Yuexin Wu, Frederick Liu et al.
A Unified Algebraic Perspective on Lipschitz Neural Networks
Alexandre Araujo, Aaron J Havens, Blaise Delattre et al.
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
Samuel Sokota, Ryan D'Orazio, J Zico Kolter et al.
A Unified Framework for Soft Threshold Pruning
Yanqi Chen, Zhengyu Ma, Wei Fang et al.
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong, Zekun Qi, Linfeng Zhang et al.
Auto-Encoding Goodness of Fit
Aaron Palmer, Zhiyi Chi, Derek Aguiar et al.
AutoGT: Automated Graph Transformer Architecture Search
Zizhao Zhang, Xin Wang, Chaoyu Guan et al.
Automated Data Augmentations for Graph Classification
Youzhi Luo, Michael Curtis McThrow, Wing Yee Au et al.
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li et al.
Automating Nearest Neighbor Search Configuration with Constrained Optimization
Philip Sun, Ruiqi Guo, Sanjiv Kumar
Autoregressive Conditional Neural Processes
Wessel Bruinsma, Stratis Markou, James Requeima et al.
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
Kaidi Cao, Jiaxuan You, Jiaju Liu et al.
A VAE for Transformers with Nonparametric Variational Information Bottleneck
James Henderson, Fabio James Fehr
Average Sensitivity of Decision Tree Learning
Satoshi Hara, Yuichi Yoshida
A View From Somewhere: Human-Centric Face Representations
Jerone Theodore Alexander Andrews, Przemyslaw Joniak, Alice Xiang
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky