| 2024 | OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. | Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You |
| 2024 | Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings. | Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman |
| 2024 | Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. | Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang |
| 2024 | Semantic-Aware Human Object Interaction Image Generation. | Zhu Xu, Qingchao Chen, Yuxin Peng, Yang Liu |
| 2024 | DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents. | Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis |
| 2024 | Intersectional Unfairness Discovery. | Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui |
| 2024 | Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. | Weijia Xu, Andrzej Banburski, Nebojsa Jojic |
| 2024 | Stochastic Bandits with ReLU Neural Networks. | Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani |
| 2024 | Robust Universal Adversarial Perturbations. | Changming Xu, Gagandeep Singh |
| 2024 | Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. | Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu |
| 2024 | Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. | Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson |
| 2024 | A General Framework for Sequential Decision-Making under Adaptivity Constraints. | Nuoya Xiong, Zhaoran Wang, Zhuoran Yang |
| 2024 | Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback. | Guojun Xiong, Jian Li |
| 2024 | SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. | Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li |
| 2024 | HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction. | Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long |
| 2024 | Federated Neuro-Symbolic Learning. | Pengwei Xing, Songtao Lu, Han Yu |
| 2024 | Less is More: on the Over-Globalizing Problem in Graph Transformers. | Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi |
| 2024 | Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training. | Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang |
| 2024 | MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis. | Luyuan Xie, Manqing Lin, Tianyu Luan, Cong Li, Yuejian Fang, Qingni Shen, Zhonghai Wu |
| 2024 | Improving SAM Requires Rethinking its Optimization Formulation. | Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher |
| 2024 | Implicit Bias of AdamW: ℓ∞-Norm Constrained Optimization. | Shuo Xie, Zhiyuan Li |
| 2024 | Local Causal Structure Learning in the Presence of Latent Variables. | Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng |
| 2024 | FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error. | Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong |
| 2024 | Learning to Explore in POMDPs with Informational Rewards. | Annie Xie, Logan M. Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine, Chelsea Finn |
| 2024 | TravelPlanner: A Benchmark for Real-World Planning with Language Agents. | Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su |