ICLR 2025 Papers
3,827 papers found • Page 77 of 77
X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
Yichen Xie, Chenfeng Xu, Chensheng Peng et al.
X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing
Xinyan Chen, Jianfei Yang
xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
Qingchen Yu, Zifan Zheng, Shichao Song et al.
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Alexander Nikulin, Ilya Zisman, Alexey Zemtsov et al.
X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention
XiaoChen Zhao, Hongyi Xu, Guoxian Song et al.
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Liao
Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks
Zixuan Xiong, Guangwei Xu, wenkai zhang et al.
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
Yihong Luo, Xiaolong Chen, Xinghua Qu et al.
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Jingyang Ou, Shen Nie, Kaiwen Xue et al.
Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
Ziyue Li, Tianyi Zhou
Your Weak LLM is Secretly a Strong Teacher for Alignment
Leitian Tao, Yixuan Li
YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus
Garrett Tanzer, Biao Zhang
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
Jan-Matthis Lueckmann, Alexander Immer, Alex Chen et al.
Zero-cost Proxy for Adversarial Robustness Evaluation
Yuqi Feng, Yuwei Ou, Jiahao Fan et al.
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
Zihan Ye, Shreyank Gowda, Shiming Chen et al.
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang, William Gilpin
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner, Kostadin Cvejoski, Antonia Körner et al.
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat et al.
Zero-Shot Natural Language Explanations
Fawaz Sammani, Nikos Deligiannis
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother et al.
Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
Wentao Guo, Jikai Long, Yimeng Zeng et al.
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
Qining Zhang, Lei Ying
ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
Qiuhao Zeng, Jierui Huang, Peng Lu et al.
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
Lichen Bai, Shitong Shao, zikai zhou et al.
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
Seonghwan Park, Jaehyeon Jeong, Yongjun Kim et al.
ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen et al.