Papers
2,737 papers found
Neural Dubber: Dubbing for Videos According to Scripts
Chenxu Hu, Qiao Tian, Tingle Li et al.
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao, Karan Samel, Binghong Chen et al.
Hash Layers For Large Sparse Models
Stephen Roller, Sainbayar Sukhbaatar, arthur szlam et al.
Improved Transformer for High-Resolution GANs
Long Zhao, Zizhao Zhang, Ting Chen et al.
Unfolding Taylor's Approximations for Image Restoration
man zhou, Xueyang Fu, Zeyu Xiao et al.
Fast Axiomatic Attribution for Neural Networks
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Adder Attention for Vision Transformer
Han Shu, Jiahao Wang, Hanting Chen et al.
On Large-Cohort Training for Federated Learning
Zachary Charles, Zachary Garrett, Zhouyuan Huo et al.
Techniques for Symbol Grounding with SATNet
Sever Topan, David Rolnick, Xujie Si
Perturbation Theory for the Information Bottleneck
Vudtiwat Ngampruetikorn, David J Schwab
Fair Scheduling for Time-dependent Resources
Bo Li, Minming Li, Ruilong Zhang
Coresets for Time Series Clustering
Lingxiao Huang, K Sudhir, Nisheeth Vishnoi
Cycle Self-Training for Domain Adaptation
Hong Liu, Jianmin Wang, Mingsheng Long
Identity testing for Mallows model
Róbert Busa-Fekete, Dimitris Fotakis, Balazs Szorenyi et al.
Probabilistic Transformer For Time Series Analysis
Binh Tang, David S Matteson
Optimal Sketching for Trace Estimation
Shuli Jiang, Hai Pham, David Woodruff et al.
Topological Attention for Time Series Forecasting
Sebastian Zeng, Florian Graf, Christoph Hofer et al.
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
Reward is enough for convex MDPs
Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins et al.
Tensor Normal Training for Deep Learning Models
Yi Ren, Donald Goldfarb
Learning to delegate for large-scale vehicle routing
Sirui Li, Zhongxia Yan, Cathy Wu
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran et al.
Neural Trees for Learning on Graphs
Rajat Talak, Siyi Hu, Lisa Peng et al.
No Regrets for Learning the Prior in Bandits
Soumya Basu, Branislav Kveton, Manzil Zaheer et al.
Post-Training Quantization for Vision Transformer
Zhenhua Liu, Yunhe Wang, Kai Han et al.