| 2025 | Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization. | Yuki Takezawa, Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich |
| 2025 | Distributionally Robust Active Learning for Gaussian Process Regression. | Shion Takeno, Yoshito Okura, Yu Inatsu, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi |
| 2025 | Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms. | Sho Takemori, Yuhei Umeda, Aditya Gopalan |
| 2025 | Physics-Informed Weakly Supervised Learning For Interatomic Potentials. | Makoto Takamoto, Viktor Zaverkin, Mathias Niepert |
| 2025 | Training a Generally Curious Agent. | Fahim Tajwar, Yiding Jiang, Abitha Thankaraj, Sumaita Sadia Rahman, J. Zico Kolter, Jeff Schneider, Russ Salakhutdinov |
| 2025 | Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs. | Wenxin Tai, Ting Zhong, Goce Trajcevski, Fan Zhou |
| 2025 | Selective Response Strategies for GenAI. | Boaz Taitler, Omer Ben-Porat |
| 2025 | Features are fate: a theory of transfer learning in high-dimensional regression. | Javan Tahir, Surya Ganguli, Grant M. Rotskoff |
| 2025 | Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers. | Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartlomiej Twardowski, Joost van de Weijer |
| 2025 | No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks. | Attila Szsz, Balzs Bnhelyi, Mrk Jelasity |
| 2025 | Identifying Metric Structures of Deep Latent Variable Models. | Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Sren Hauberg |
| 2025 | Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. | DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng |
| 2025 | SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion. | Junwei Su, Shan Wu |
| 2025 | Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices. | Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger |
| 2025 | Sample-specific Noise Injection for Diffusion-based Adversarial Purification. | Yuhao Sun, Jiacheng Zhang, Zesheng Ye, Chaowei Xiao, Feng Liu |
| 2025 | CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models. | Guangzhi Sun, Xiao Zhan, Shutong Feng, Philip C. Woodland, Jose Such |
| 2025 | video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model. | Guangzhi Sun, Yudong Yang, Jimin Zhuang, Changli Tang, Yixuan Li, Wei Li, Zejun Ma, Chao Zhang |
| 2025 | Idiosyncrasies in Large Language Models. | Mingjie Sun, Yida Yin, Zhiqiu Xu, J. Zico Kolter, Zhuang Liu |
| 2025 | Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation. | Guanglong Sun, Hongwei Yan, Liyuan Wang, Qian Li, Bo Lei, Yi Zhong |
| 2025 | Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages. | Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik, Jie Chen |
| 2025 | Earley-Driven Dynamic Pruning for Efficient Structured Decoding. | Xintong Sun, Chi Wei, Minghao Tian, Shiwen Ni |
| 2025 | Improved Lower Bounds for First-order Stochastic Non-convex Optimization under Markov Sampling. | Zhenyu Sun, Ermin Wei |
| 2025 | A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. | Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang |
| 2025 | FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification. | Zhen Sun, Lei Tan, Yunhang Shen, Chengmao Cai, Xing Sun, Pingyang Dai, Liujuan Cao, Rongrong Ji |
| 2025 | AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration. | Wenhao Sun, Rong-Cheng Tu, Jingyi Liao, Zhao Jin, Dacheng Tao |