Papers
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Boaz Barak, Benjamin Edelman, Surbhi Goel et al.
Hiding Images in Deep Probabilistic Models
Haoyu Chen, Linqi Song, Zhenxing Qian et al.
Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth
Laxman Dhulipala, David Eisenstat, Jakub Lacki et al.
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
Qihua ZHOU, Song Guo, YI LIU et al.
Hierarchical classification at multiple operating points
Jack Valmadre
Hierarchical Graph Transformer with Adaptive Node Sampling
ZAIXI ZHANG, Qi Liu, Qingyong Hu et al.
Hierarchical Lattice Layer for Partially Monotone Neural Networks
Hiroki Yanagisawa, Kohei Miyaguchi, Takayuki Katsuki
Hierarchical Normalization for Robust Monocular Depth Estimation
Chi Zhang, Wei Yin, Billzb Wang et al.
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis
Sang-Hoon Lee, Seung-Bin Kim, Ji-Hyun Lee et al.
High-dimensional Additive Gaussian Processes under Monotonicity Constraints
Andrés López-Lopera, Francois Bachoc, Olivier Roustant
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba, Murat A Erdogdu, Taiji Suzuki et al.
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua, Guillaume Rabusseau, Jian Tang
Hilbert Distillation for Cross-Dimensionality Networks
Dian Qin, Haishuai Wang, Zhe Liu et al.
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Axel Laborieux, Friedemann Zenke
Homomorphic Matrix Completion
Xiao-Yang Liu, Zechu (Steven) Li, Xiaodong Wang
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
Hua Wei, Jingxiao Chen, Xiyang Ji et al.
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Yongming Rao, Wenliang Zhao, Yansong Tang et al.
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography
Xudong Pan, Shengyao Zhang, Mi Zhang et al.
How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
Yoav Kolumbus, Noam Nisan
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
Qi Zhang, Yifei Wang, Yisen Wang
How Powerful are K-hop Message Passing Graph Neural Networks
Jiarui Feng, Yixin Chen, Fuhai Li et al.
How Sampling Impacts the Robustness of Stochastic Neural Networks
Sina Däubener, Asja Fischer
How to talk so AI will learn: Instructions, descriptions, and autonomy
Theodore Sumers, Robert Hawkins, Mark K Ho et al.
How Transferable are Video Representations Based on Synthetic Data?
Yo-whan Kim, Samarth Mishra, SouYoung Jin et al.