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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)

What is the Effect of Importance Weighting in Deep Learning? ICML 2019
Proportionally Fair Clustering ICML 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System ICML 2019
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation ICML 2019
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching ICML 2019
Neural Joint Source-Channel Coding ICML 2019
Quantifying Generalization in Reinforcement Learning ICML 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints ICML 2019
Flexibly Fair Representation Learning by Disentanglement ICML 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019
A Kernel Theory of Modern Data Augmentation ICML 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019
Optimal Auctions through Deep Learning ICML 2019
Band-limited Training and Inference for Convolutional Neural Networks ICML 2019
Exploring the Landscape of Spatial Robustness ICML 2019
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation ICML 2019
Data Shapley: Equitable Valuation of Data for Machine Learning ICML 2019
Obtaining Fairness using Optimal Transport Theory ICML 2019
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications ICML 2019
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019
Neural Separation of Observed and Unobserved Distributions ICML 2019
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning ICML 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules ICML 2019
Collective Model Fusion for Multiple Black-Box Experts ICML 2019