| 2025 | CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts. | Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha |
| 2025 | DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. | June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee |
| 2025 | Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions. | Jinyoung Choi, Junoh Kang, Bohyung Han |
| 2025 | Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining. | Wonhyeok Choi, Kyumin Hwang, Wei Peng, Minwoo Choi, Sunghoon Im |
| 2025 | Unlearning-based Neural Interpretations. | Ching Lam Choi, Alexandre Duplessis, Serge J. Belongie |
| 2025 | Language-Image Models with 3D Understanding. | Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krhenbhl, Yan Wang, Marco Pavone |
| 2025 | Improving Neural Optimal Transport via Displacement Interpolation. | Jaemoo Choi, Yongxin Chen, Jaewoong Choi |
| 2025 | Teaching LLMs How to Learn with Contextual Fine-Tuning. | Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul G. Krishnan |
| 2025 | Self-Improving Robust Preference Optimization. | Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar |
| 2025 | Adaptive Energy Alignment for Accelerating Test-Time Adaptation. | Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park, Dong-Jun Han, Jaekyun Moon |
| 2025 | Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion. | Minkyoung Cho, Yulong Cao, Jiachen Sun, Qingzhao Zhang, Marco Pavone, Jeong Joon Park, Heng Yang, Zhuoqing Mao |
| 2025 | Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation. | Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma |
| 2025 | DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life. | Yu Ying Chiu, Liwei Jiang, Yejin Choi |
| 2025 | Provence: efficient and robust context pruning for retrieval-augmented generation. | Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, Stphane Clinchant |
| 2025 | Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation. | Zhixiang Chi, Li Gu, Huan Liu, Ziqiang Wang, Yanan Wu, Yang Wang, Konstantinos N. Plataniotis |
| 2025 | Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness. | Eli Chien, Pan Li |
| 2025 | For Better or For Worse? Learning Minimum Variance Features With Label Augmentation. | Muthu Chidambaram, Rong Ge |
| 2025 | Reassessing How to Compare and Improve the Calibration of Machine Learning Models. | Muthu Chidambaram, Rong Ge |
| 2025 | Quamba: A Post-Training Quantization Recipe for Selective State Space Models. | Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu |
| 2025 | Precedence-Constrained Winter Value for Effective Graph Data Valuation. | Hongliang Chi, Wei Jin, Charu C. Aggarwal, Yao Ma |
| 2025 | ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks. | Prakash Chandra Chhipa, Gautam Vashishtha, Settur Jithamanyu, Rajkumar Saini, Mubarak Shah, Marcus Liwicki |
| 2025 | Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. | Mathieu Chevalley, Patrick Schwab, Arash Mehrjou |
| 2025 | Contrastive Learning from Synthetic Audio Doppelgngers. | Manuel Cherep, Nikhil Singh |
| 2025 | Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse. | Seung Hyun Cheon, Anneke Wernerfelt, Sorelle A. Friedler, Berk Ustun |
| 2025 | SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun |