Papers
11,015 papers found
Transformer Meets Boundary Value Inverse Problems
Ruchi Guo, Shuhao Cao, Long Chen
Transformer-Patcher: One Mistake Worth One Neuron
Zeyu Huang, Yikang Shen, Xiaofeng Zhang et al.
Transformers are Sample-Efficient World Models
Vincent Micheli, Eloi Alonso, François Fleuret
Transformers Learn Shortcuts to Automata
Bingbin Liu, Jordan T. Ash, Surbhi Goel et al.
TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation
Rongjie Huang, Jinglin Liu, Huadai Liu et al.
Treeformer: Dense Gradient Trees for Efficient Attention Computation
Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain et al.
TrojText: Test-time Invisible Textual Trojan Insertion
Qian Lou, Yepeng Liu, Bo Feng
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
Huangjie Zheng, Pengcheng He, Weizhu Chen et al.
Truthful Self-Play
Shohei Ohsawa
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
Hyesu Lim, Byeonggeun Kim, Jaegul Choo et al.
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
Annan Yu, Yunan Yang, Alex Townsend
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
Shuyang Yu, Junyuan Hong, Haotao Wang et al.
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning
Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya
TypeT5: Seq2seq Type Inference using Static Analysis
Jiayi Wei, Greg Durrett, Isil Dillig
UL2: Unifying Language Learning Paradigms
Yi Tay, Mostafa Dehghani, Vinh Q. Tran et al.
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
Mingjie Li, Yifei Wang, Yisen Wang et al.
Unbiased Supervised Contrastive Learning
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione et al.
Understanding and Adopting Rational Behavior by Bellman Score Estimation
Kuno Kim, Stefano Ermon
Understanding DDPM Latent Codes Through Optimal Transport
Valentin Khrulkov, Gleb Ryzhakov, Andrei Chertkov et al.
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
Xingyu Zhu, Zixuan Wang, Xiang Wang et al.
Understanding Embodied Reference with Touch-Line Transformer
Yang Li, Xiaoxue Chen, Hao Zhao et al.
Understanding Influence Functions and Datamodels via Harmonic Analysis
Nikunj Saunshi, Arushi Gupta, Mark Braverman et al.
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
Martin Bjerke, Lukas Schott, Kristopher T Jensen et al.
Understanding new tasks through the lens of training data via exponential tilting
Subha Maity, Mikhail Yurochkin, Moulinath Banerjee et al.
Understanding the Covariance Structure of Convolutional Filters
Asher Trockman, Devin Willmott, J Zico Kolter