Papers
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Cristopher Salvi, Maud Lemercier, Chong Liu et al.
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
Ashok Cutkosky, Harsh Mehta
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
Billy Jin, Katya Scheinberg, Miaolan Xie
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer, Pieter Abbeel, Joseph E Gonzalez
History Aware Multimodal Transformer for Vision-and-Language Navigation
Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid et al.
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang, Doyeong Hwang, Seul Lee et al.
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Hongyi Xu, Thiemo Alldieck, Cristian Sminchisescu
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
Pedro Rodrigues, Thomas Moreau, Gilles Louppe et al.
How can classical multidimensional scaling go wrong?
Rishi Sonthalia, Greg Van Buskirk, Benjamin Raichel et al.
How Data Augmentation affects Optimization for Linear Regression
Boris Hanin, Yi Sun
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
Jingling Li, Mozhi Zhang, Keyulu Xu et al.
How Does it Sound?
Kun Su, Xiulong Liu, Eli Shlizerman
How Fine-Tuning Allows for Effective Meta-Learning
Kurtland Chua, Qi Lei, Jason Lee
How Modular should Neural Module Networks Be for Systematic Generalization?
Vanessa D'Amario, Tomotake Sasaki, Xavier Boix
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White, Arber Zela, Robin Ru et al.
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinshuai Dong, Anh Tuan Luu, Min Lin et al.
How Tight Can PAC-Bayes be in the Small Data Regime?
Andrew Foong, Wessel Bruinsma, David Burt et al.
How to transfer algorithmic reasoning knowledge to learn new algorithms?
Louis-Pascal Xhonneux, Andreea-Ioana Deac, Petar Veličković et al.
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann, Judy Borowski, Robert Geirhos et al.
HRFormer: High-Resolution Vision Transformer for Dense Predict
YUHUI YUAN, Rao Fu, Lang Huang et al.
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Shiming Chen, Guosen Xie, Yang Liu et al.
Human-Adversarial Visual Question Answering
Sasha Sheng, Amanpreet Singh, Vedanuj Goswami et al.
Hyperbolic Busemann Learning with Ideal Prototypes
Mina Ghadimi Atigh, Martin Keller-Ressel, Pascal Mettes
Hyperbolic Procrustes Analysis Using Riemannian Geometry
Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon