Papers
How Re-sampling Helps for Long-Tail Learning?
Jiang-Xin Shi, Tong Wei, Yuke Xiang et al.
How to Data in Datathons
Carlos Mougan, Richard Plant, Clare Teng et al.
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
Hai Zhang, Hang Yu, Junqiao Zhao et al.
How to Scale Your EMA
Dan Busbridge, Jason Ramapuram, Pierre Ablin et al.
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
Guy Hacohen, Daphna Weinshall
How to Turn Your Knowledge Graph Embeddings into Generative Models
Lorenzo Loconte, Nicola Di Mauro, Robert Peharz et al.
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
Han Liu, Zhi Xu, Xiaotong Zhang et al.
HT-Step: Aligning Instructional Articles with How-To Videos
Triantafyllos Afouras, Effrosyni Mavroudi, Tushar Nagarajan et al.
HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection
Xingbo Du, Chonghua Wang, Ruizhe Zhong et al.
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan et al.
Human-Aligned Calibration for AI-Assisted Decision Making
Nina Corvelo Benz, Manuel Rodriguez
Human-Guided Complexity-Controlled Abstractions
Andi Peng, Mycal Tucker, Eoin Kenny et al.
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses
Jacob Granley, Tristan Fauvel, Matthew Chalk et al.
Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context
Julian Tanke, Oh-Hun Kwon, Felix B Mueller et al.
Human spatiotemporal pattern learning as probabilistic program synthesis
Tracey Mills, Josh Tenenbaum, Samuel Cheyette
Hybrid Policy Optimization from Imperfect Demonstrations
Hanlin Yang, Chao Yu, peng sun et al.
Hybrid Search for Efficient Planning with Completeness Guarantees
Kalle Kujanpää, Joni K. Pajarinen, Alexander Ilin
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Eric Nguyen, Michael Poli, Marjan Faizi et al.
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
Nurendra Choudhary, Nikhil Rao, Chandan Reddy
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
Shu-Lin Xu, Yifan Sun, Faen Zhang et al.
Hyperbolic VAE via Latent Gaussian Distributions
Seunghyuk Cho, Juyong Lee, Dongwoo Kim
Hyper-HMM: aligning human brains and semantic features in a common latent event space
Caroline Lee, Jane Han, Ma Feilong et al.
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
Woojin Cho, Kookjin Lee, Donsub Rim et al.
Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images
Pai Chet Ng, Zhixiang Chi, Yannick Verdie et al.