Papers
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?
Chengxu Zhuang, Ziyu Xiang, Yoon Bai et al.
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios
Mantas Mazeika, Eric Tang, Andy Zou et al.
HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies
Li Wang, jie Yang, Weikai Chen et al.
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
Qing Li, Yu-Shen Liu, Jin-San Cheng et al.
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Yang Shu, Zhangjie Cao, Ziyang Zhang et al.
Human-AI Collaborative Bayesian Optimisation
Arun Kumar A V, Santu Rana, Alistair Shilton et al.
Human-AI Shared Control via Policy Dissection
Quanyi Li, Zhenghao Peng, Haibin Wu et al.
HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes
Zan Wang, Yixin Chen, Tengyu Liu et al.
HumanLiker: A Human-like Object Detector to Model the Manual Labeling Process
Haoran Wei, Ping Guo, Yangguang Zhu et al.
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking
Ruofan Wu, Junmin Zhong, Brent Wallace et al.
HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses
Jacob Granley, Lucas Relic, Michael Beyeler
Hyperbolic Embedding Inference for Structured Multi-Label Prediction
Bo Xiong, Michael Cochez, Mojtaba Nayyeri et al.
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
Zhi Gao, Yuwei Wu, Yunde Jia et al.
HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
Aibek Alanov, Vadim Titov, Dmitry P Vetrov
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
Yi.shi Xu, Dongsheng Wang, Bo Chen et al.
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding, Lingxiao Zhao, Leman Akoglu
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto et al.
HyperTree Proof Search for Neural Theorem Proving
Guillaume Lample, Timothee Lacroix, Marie-Anne Lachaux et al.
Hypothesis Testing for Differentially Private Linear Regression
Daniel Alabi, Salil Vadhan
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Siqiao Xue, Xiaoming Shi, James Zhang et al.
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
Muhammad Ferjad Naeem, Yongqin Xian, Luc V Gool et al.
I2Q: A Fully Decentralized Q-Learning Algorithm
Jiechuan Jiang, Zongqing Lu
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
Paul Rolland, Luca Viano, Norman Schürhoff et al.
Identifiability of deep generative models without auxiliary information
Bohdan Kivva, Goutham Rajendran, Pradeep K. Ravikumar et al.