Papers
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?
Gaojie Jin, Xinping Yi, Liang Zhang et al.
How do fair decisions fare in long-term qualification?
Xueru Zhang, Ruibo Tu, Yang Liu et al.
How many samples is a good initial point worth in Low-rank Matrix Recovery?
Jialun Zhang, Richard Zhang
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
Mrinank Sharma, Sören Mindermann, Jan Brauner et al.
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
Yihong Gu, Weizhong Zhang, Cong Fang et al.
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
Pierluca D'Oro, Wojciech Jaśkowski
HRN: A Holistic Approach to One Class Learning
Wenpeng Hu, Mengyu Wang, Qi Qin et al.
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency
Fang Zhao, Shengcai Liao, Kaihao Zhang et al.
Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias Khalil et al.
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
Quoc Tran Dinh, Deyi Liu, Lam Nguyen
HYDRA: Pruning Adversarially Robust Neural Networks
Vikash Sehwag, Shiqi Wang, Prateek Mittal et al.
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
Yurun Tian, Axel Barroso Laguna, Tony Ng et al.
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Florian Wenzel, Jasper Snoek, Dustin Tran et al.
Hypersolvers: Toward Fast Continuous-Depth Models
Michael Poli, Stefano Massaroli, Atsushi Yamashita et al.
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
Cher Bass, Mariana da Silva, Carole Sudre et al.
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
Ilyes Khemakhem, Ricardo Monti, Diederik Kingma et al.
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
Wen-Da Jin, Jun Xu, Ming-Ming Cheng et al.
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
Yossi Arjevani, Joan Bruna, Bugra Can et al.
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
Andrew Jesson, Sören Mindermann, Uri Shalit et al.
Identifying Learning Rules From Neural Network Observables
Aran Nayebi, Sanjana Srivastava, Surya Ganguli et al.
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss, Tianyi Zhang, Ethan Elenberg et al.
Identifying signal and noise structure in neural population activity with Gaussian process factor models
Stephen Keeley, Mikio Aoi, Yiyi Yu et al.
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool
Gellert Weisz, András György, Wei-I Lin et al.
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
Edward Moroshko, Blake E Woodworth, Suriya Gunasekar et al.