| 2025 | HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining. | Minjae Jeong, Yechan Hwang, Jaejin Lee, Sungyoon Jung, Won Hwa Kim |
| 2025 | Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels. | Hyeonsu Jeong, Hye Won Chung |
| 2025 | Mixture of Parrots: Experts improve memorization more than reasoning. | Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach |
| 2025 | IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning. | Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu |
| 2025 | PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations. | Dhananjaya Jayasundara, Heng Zhao, Demetrio Labate, Vishal M. Patel |
| 2025 | EqNIO: Subequivariant Neural Inertial Odometry. | Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig |
| 2025 | GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment. | Aishwarya Jayagopal, Yanrong Zhang, Robert John Walsh, Tuan Zea Tan, Anand D. Jeyasekharan, Vaibhav Rajan |
| 2025 | InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling. | Muhammad Gohar Javed, Chuan Guo, Li Cheng, Xingyu Li |
| 2025 | A Theory of Initialisation's Impact on Specialisation. | Devon Jarvis, Sebastian Lee, Clmentine Carla Juliette Domin, Andrew M. Saxe, Stefano Sarao Mannelli |
| 2025 | Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks. | Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe |
| 2025 | VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks. | Lawrence Keunho Jang, Yinheng Li, Dan Zhao, Charles Ding, Justin Lin, Paul Pu Liang, Rogerio Bonatti, Kazuhito Koishida |
| 2025 | MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation. | Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, Daeshik Kim |
| 2025 | LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. | Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang |
| 2025 | Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. | Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury |
| 2025 | TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark. | Kush Jain, Gabriel Synnaeve, Baptiste Rozire |
| 2025 | LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. | Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica |
| 2025 | Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse. | Arthur Jacot, Peter Skenk, Zihan Wang, Marco Mondelli |
| 2025 | How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning. | Arthur Jacot, Seok Hoan Choi, Yuxiao Wen |
| 2025 | Mask in the Mirror: Implicit Sparsification. | Tom Jacobs, Rebekka Burkholz |
| 2025 | DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL. | Mathias Jackermeier, Alessandro Abate |
| 2025 | Efficient Model Editing with Task-Localized Sparse Fine-tuning. | Leonardo Iurada, Marco Ciccone, Tatiana Tommasi |
| 2025 | Rethinking the role of frames for SE(3)-invariant crystal structure modeling. | Yusei Ito, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kanta Ono |
| 2025 | What's New in My Data? Novelty Exploration via Contrastive Generation. | Masaru Isonuma, Ivan Titov |
| 2025 | Concept Bottleneck Language Models For Protein Design. | Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton, Hctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey |
| 2025 | Towards Faster Decentralized Stochastic Optimization with Communication Compression. | Rustem Islamov, Yuan Gao, Sebastian U. Stich |