Papers
High-Fidelity Simultaneous Speech-To-Speech Translation
Tom Labiausse, Laurent Mazaré, Edouard Grave et al.
Highly Compressed Tokenizer Can Generate Without Training
Lukas Lao Beyer, Tianhong Li, Xinlei Chen et al.
High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions
Ruiyuan Huang, Zengfeng Huang
Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
Yicheng Luo, Bowen Zhang, Zhen Liu et al.
HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
Julia Gusak, Xunyi Zhao, Théotime Le Hellard et al.
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
Lucy Xiaoyang Shi, Brian Ichter, Michael Robert Equi et al.
History-Guided Video Diffusion
Kiwhan Song, Boyuan Chen, Max Simchowitz et al.
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space
Xihang Yue, Yi Yang, Linchao Zhu
Homophily Enhanced Graph Domain Adaptation
Ruiyi Fang, Bingheng Li, Jingyu Zhao et al.
(How) Can Transformers Predict Pseudo-Random Numbers?
Tao Tao, Darshil Doshi, Dayal Singh Kalra et al.
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
Alessandro Favero, Antonio Sclocchi, Francesco Cagnetta et al.
How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei et al.
How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective
Jing Qiao, Yu Liu, Yuan Yuan et al.
How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
Jun Chen, Hong Chen, Yonghua Yu et al.
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation
Yining Pan, Qiongjie Cui, Xulei Yang et al.
(How) Do Language Models Track State?
Belinda Z. Li, Zifan Carl Guo, Jacob Andreas
How Do Large Language Monkeys Get Their Power (Laws)?
Rylan Schaeffer, Joshua Kazdan, John Hughes et al.
How Do Transformers Learn Variable Binding in Symbolic Programs?
Yiwei Wu, Atticus Geiger, Raphaël Millière
How Effective Can Dropout Be in Multiple Instance Learning ?
Wenhui Zhu, Peijie Qiu, Xiwen Chen et al.
How Expressive are Knowledge Graph Foundation Models?
Xingyue Huang, Pablo Barcelo, Michael M. Bronstein et al.
How Far Is Video Generation from World Model: A Physical Law Perspective
Bingyi Kang, Yang Yue, Rui Lu et al.
How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
Haonan Yuan, Qingyun Sun, Junhua Shi et al.
How Much Can We Forget about Data Contamination?
Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko et al.
How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
Zhenting Wang, Chen Chen, Vikash Sehwag et al.
How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
Wonkwang Lee, Jongwon Jeong, Taehong Moon et al.