| 2025 | Attribute-based Visual Reprogramming for Vision-Language Models. | Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu |
| 2025 | LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing. | Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov |
| 2025 | Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching. | Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, Xulei Yang |
| 2025 | Last Iterate Convergence of Incremental Methods as a Model of Forgetting. | Xufeng Cai, Jelena Diakonikolas |
| 2025 | No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data. | Daniel Cai, Randall Balestriero |
| 2025 | GROOT-2: Weakly Supervised Multimodal Instruction Following Agents. | Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang |
| 2025 | Gradient descent with generalized Newton's method. | Zhiqi Bu, Shiyun Xu |
| 2025 | Training Neural Networks as Recognizers of Formal Languages. | Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell |
| 2025 | Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax. | Ivan Butakov, Alexander Semenenko, Alexander Tolmachev, Andrey Gladkov, Marina Munkhoeva, Alexey A. Frolov |
| 2025 | Interpreting Emergent Planning in Model-Free Reinforcement Learning. | Thomas Bush, Stephen Chung, Usman Anwar, Adri Garriga-Alonso, David Krueger |
| 2025 | Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization. | Matthew X. Burns, Qingyuan Hou, Michael C. Huang |
| 2025 | Video Action Differencing. | James Burgess, Xiaohan Wang, Yuhui Zhang, Anita Rau, Alejandro Lozano, Lisa Dunlap, Trevor Darrell, Serena Yeung-Levy |
| 2025 | Learning Transformer-based World Models with Contrastive Predictive Coding. | Maxime Burchi, Radu Timofte |
| 2025 | Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. | Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung |
| 2025 | ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization. | The Viet Bui, Thanh Hong Nguyen, Tien Anh Mai |
| 2025 | Bayesian Optimization via Continual Variational Last Layer Training. | Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison |
| 2025 | Emergence of meta-stable clustering in mean-field transformer models. | Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi |
| 2025 | NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields. | Amandine Brunetto, Sascha Hornauer, Fabien Moutarde |
| 2025 | Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images. | Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa |
| 2025 | Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data. | Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz |
| 2025 | A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization. | Aron Brenner, Rahman Khorramfar, Jennifer Z. Sun, Saurabh Amin |
| 2025 | NRGBoost: Energy-Based Generative Boosted Trees. | Joo Bravo |
| 2025 | Decomposition Polyhedra of Piecewise Linear Functions. | Marie-Charlotte Brandenburg, Moritz Leo Grillo, Christoph Hertrich |
| 2025 | Interaction Asymmetry: A General Principle for Learning Composable Abstractions. | Jack Brady, Julius von Kgelgen, Sbastien Lachapelle, Simon Buchholz, Thomas Kipf, Wieland Brendel |
| 2025 | Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling. | Louis Bradshaw, Simon Colton |