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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)

CO-Optimal Transport NIPS 2020
Learning Invariances in Neural Networks from Training Data NIPS 2020
Pruning Filter in Filter NIPS 2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis NIPS 2020
PAC-Bayesian Bound for the Conditional Value at Risk NIPS 2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search NIPS 2020
Fair Multiple Decision Making Through Soft Interventions NIPS 2020
Hybrid Models for Learning to Branch NIPS 2020
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression NIPS 2020
Truthful Data Acquisition via Peer Prediction NIPS 2020
Learning Robust Decision Policies from Observational Data NIPS 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit NIPS 2020
Ensuring Fairness Beyond the Training Data NIPS 2020
How do fair decisions fare in long-term qualification? NIPS 2020
GCN meets GPU: Decoupling “When to Sample” from “How to Sample” NIPS 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification NIPS 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference NIPS 2020
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space NIPS 2020
Collegial Ensembles NIPS 2020
Content Provider Dynamics and Coordination in Recommendation Ecosystems NIPS 2020
Experimental design for MRI by greedy policy search NIPS 2020
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks NIPS 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing NIPS 2020
Fair regression via plug-in estimator and recalibration with statistical guarantees NIPS 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation NIPS 2020