Papers
Hierarchical Granularity Transfer Learning
Shaobo Min, Hongtao Xie, Hantao Yao et al.
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer
Hierarchical Neural Architecture Search for Deep Stereo Matching
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi et al.
Hierarchical nucleation in deep neural networks
Diego Doimo, Aldo Glielmo, Alessio Ansuini et al.
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
Shir Gur, Sagie Benaim, Lior Wolf
Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo Guo, Zeqi Lin, Jian-Guang Lou et al.
Hierarchical Quantized Autoencoders
Will Williams, Sam Ringer, Tom Ash et al.
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong, Jaehyeon Kim, Jaekyoung Bae
High-contrast “gaudy” images improve the training of deep neural network models of visual cortex
Benjamin Cowley, Jonathan W Pillow
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
Noémie Jaquier, Leonel Rozo
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
Qing Feng, Ben Letham, Hongzi Mao et al.
High-Dimensional Sparse Linear Bandits
Botao Hao, Tor Lattimore, Mengdi Wang
Higher-Order Certification For Randomized Smoothing
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng et al.
Higher-Order Spectral Clustering of Directed Graphs
Steinar Laenen, He Sun
High-Fidelity Generative Image Compression
Fabian Mentzer, George D Toderici, Michael Tschannen et al.
High-recall causal discovery for autocorrelated time series with latent confounders
Andreas Gerhardus, Jakob Runge
High-Throughput Synchronous Deep RL
Iou-Jen Liu, Raymond Yeh, Alexander Schwing
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Albert Gu, Tri Dao, Stefano Ermon et al.
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics
Aranyak Mehta, Uri Nadav, Alexandros Psomas et al.
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory
Jie Ren, Minjia Zhang, Dong Li
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
Thomas Limbacher, Robert A. Legenstein
HOI Analysis: Integrating and Decomposing Human-Object Interaction
Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu et al.
Hold me tight! Influence of discriminative features on deep network boundaries
Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi et al.
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods
Jeya Vikranth Jeyakumar, Joseph Noor, Yu-Hsi Cheng et al.
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions
Michael Tsang, Sirisha Rambhatla, Yan Liu