Papers
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
Zehui Li, Vallijah Subasri, Guy-Bart Stan et al.
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
Yu Zeng, Yang Zhang, Jiachen Liu et al.
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
Maxim Nikolaev, Mikhail Kuznetsov, Dmitry Vetrov et al.
Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
Hongbo Wang, Jie Cao, Jin Liu et al.
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
Xuefeng Du, Chaowei Xiao, Yixuan Li
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
Haoye Dong, Aviral Chharia, Wenbo Gou et al.
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
Jinlin Lai, Justin Domke, Daniel Sheldon
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
Vu C. Dinh, Lam Si Tung Ho, Cuong V. Nguyen
Hamiltonian Score Matching and Generative Flows
Peter Holderrieth, Yilun Xu, Tommi Jaakkola
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
Peng Tan, Hai-Tian Liu, Zhi-Hao Tan et al.
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
Shijie Ma, Fei Zhu, Zhun Zhong et al.
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen et al.
Hardness of Learning Neural Networks under the Manifold Hypothesis
Bobak T. Kiani, Jason Wang, Melanie Weber
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
Yuxin Wang, Duanyu Feng, Yongfu Dai et al.
Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction
Tuo Wang, Zhenbo Song, Zhenyu Lou et al.
Harmonizing Visual Text Comprehension and Generation
Zhen Zhao, Jingqun Tang, Binghong Wu et al.
Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions
Rawal Khirodkar, Jyun-Ting Song, Jinkun Cao et al.
Harnessing Multiple Correlated Networks for Exact Community Recovery
Miklós Z. Rácz, Jifan Zhang
Harnessing small projectors and multiple views for efficient vision pretraining
Arna Ghosh, Kumar Krishna Agrawal, Shagun Sodhani et al.
HAWK: Learning to Understand Open-World Video Anomalies
Jiaqi Tang, Hao Lu, Ruizheng Wu et al.
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
Lu Bai, Zhuo Xu, Lixin Cui et al.
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
Yuanhao Cai, Zihao Xiao, Yixun Liang et al.
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
Frederik Kunstner, Alan Milligan, Robin Yadav et al.
HelpSteer 2: Open-source dataset for training top-performing reward models
Zhilin Wang, Yi Dong, Olivier Delalleau et al.