Papers
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
Yiwei Guo, Shaobin Zhuang, Kunchang Li et al.
Transcendence: Generative Models Can Outperform The Experts That Train Them
Edwin Zhang, Vincent Zhu, Naomi Saphra et al.
Transcoders find interpretable LLM feature circuits
Jacob Dunefsky, Philippe Chlenski, Neel Nanda
Transductive Active Learning: Theory and Applications
Jonas Hübotter, Bhavya Sukhija, Lenart Treven et al.
Transductive Learning is Compact
Julian Asilis, Siddartha Devic, Shaddin Dughmi et al.
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
Mingyuan Fan, Xiaodan Li, Cen Chen et al.
Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia, Wenhan Yang, Yi Yu et al.
Transferable Boltzmann Generators
Leon Klein, Frank Noé
Transfer Learning for Diffusion Models
Yidong Ouyang, Liyan Xie, Hongyuan Zha et al.
Transfer Learning for Latent Variable Network Models
Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee et al.
Transfer Q-star : Principled Decoding for LLM Alignment
Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin et al.
Transferring disentangled representations: bridging the gap between synthetic and real images
Jacopo Dapueto, Nicoletta Noceti, Francesca Odone
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
Omar Montasser, Han Shao, Emmanuel Abbe
Transformer Doctor: Diagnosing and Treating Vision Transformers
Jiacong Hu, Hao Chen, Kejia Chen et al.
Transformers are Minimax Optimal Nonparametric In-Context Learners
Juno Kim, Tai Nakamaki, Taiji Suzuki
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
Chengshuai Shi, Kun Yang, Jing Yang et al.
Transformers Can Do Arithmetic with the Right Embeddings
Sean McLeish, Arpit Bansal, Alex Stein et al.
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
Deqing Fu, Tian-Qi Chen, Robin Jia et al.
Transformers need glasses! Information over-squashing in language tasks
Federico Barbero, Andrea Banino, Steven Kapturowski et al.
Transformers on Markov data: Constant depth suffices
Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran et al.
Transformers Represent Belief State Geometry in their Residual Stream
Adam S. Shai, Sarah E. Marzen, Lucas Teixeira et al.
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
Aviv Bick, Kevin Y. Li, Eric P. Xing et al.
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
Hanwen Zhong, Jiaxin Chen, Yutong Zhang et al.
Transition Constrained Bayesian Optimization via Markov Decision Processes
Jose Pablo Folch, Calvin Tsay, Robert M Lee et al.
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
Chenyang Le, Yao Qian, Dongmei Wang et al.