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Application Areas

31,658 papers (3 classified directly here)

Subtopics

Domain Adaptation (8,962) Efficient Computing (6,898) Data Augmentation (3,720) Fairness (3,511) Knowledge Distillation (3,086) Privacy (2,847) Domain Generalization (1,834) Model Compression (1,718) Risk Management (1,064) Model Merging (558) Recommender Systems (315) Information Retrieval (244) Text Classification (139) Text Processing (5)

Papers per year

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Papers (including subtopics)

Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019
Distilling Policy Distillation AISTATS 2019
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features AISTATS 2019
Differentially Private Online Submodular Minimization AISTATS 2019
Renyi Differentially Private ERM for Smooth Objectives AISTATS 2019
Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019
Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets AISTATS 2019
Learning Controllable Fair Representations AISTATS 2019
Matroids, Matchings, and Fairness AISTATS 2019
Statistical Optimal Transport via Factored Couplings AISTATS 2019
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals AISTATS 2019
Cost aware Inference for IoT Devices AISTATS 2019
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport AISTATS 2019
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019
Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019
Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation ALT 2019
Old Techniques in Differentially Private Linear Regression ALT 2019
Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations ALT 2019
Private Center Points and Learning of Halfspaces COLT 2019
Active Regression via Linear-Sample Sparsification COLT 2019
Fast determinantal point processes via distortion-free intermediate sampling COLT 2019
Lower Bounds for Locally Private Estimation via Communication Complexity COLT 2019
Statistical Learning with a Nuisance Component COLT 2019
Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019