Papers
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Siyuan Li, Rui Wang, Minxue Tang et al.
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
David Salinas, Michael Bohlke-Schneider, Laurent Callot et al.
High-Dimensional Optimization in Adaptive Random Subspaces
Jonathan Lacotte, Mert Pilanci, Marco Pavone
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas, Arkanath Pathak, Harini Kannan et al.
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen et al.
Hindsight Credit Assignment
Anna Harutyunyan, Will Dabney, Thomas Mesnard et al.
How degenerate is the parametrization of neural networks with the ReLU activation function?
Dennis Maximilian Elbrächter, Julius Berner, Philipp Grohs
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit, Víctor Campos, Yoshua Bengio
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
Xiao Sun, Jungwook Choi, Chia-Yu Chen et al.
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou, Mitchell Gordon, Ranjay Krishna et al.
Hyperbolic Graph Convolutional Neural Networks
Ines Chami, Zhitao Ying, Christopher Ré et al.
Hyperbolic Graph Neural Networks
Qi Liu, Maximilian Nickel, Douwe Kiela
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs
Naganand Yadati, Madhav Nimishakavi, Prateek Yadav et al.
Hyper-Graph-Network Decoders for Block Codes
Eliya Nachmani, Lior Wolf
Hyperparameter Learning via Distributional Transfer
Ho Chung Law, Peilin Zhao, Leung Sing Chan et al.
Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees Snoek
Hypothesis Set Stability and Generalization
Dylan J Foster, Spencer Greenberg, Satyen Kale et al.
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model
Wenbo Gong, Sebastian Tschiatschek, Sebastian Nowozin et al.
Identification of Conditional Causal Effects under Markov Equivalence
Amin Jaber, Jiji Zhang, Elias Bareinboim
Identifying Causal Effects via Context-specific Independence Relations
Santtu Tikka, Antti Hyttinen, Juha Karvanen
Image Captioning: Transforming Objects into Words
Simao Herdade, Armin Kappeler, Kofi Boakye et al.
Image Synthesis with a Single (Robust) Classifier
Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras et al.
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Chao Yang, Xiaojian Ma, Wenbing Huang et al.
Imitation-Projected Programmatic Reinforcement Learning
Abhinav Verma, Hoang Le, Yisong Yue et al.
Implicit Generation and Modeling with Energy Based Models
Yilun Du, Igor Mordatch