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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)

Differentially Private Matrix Completion Revisited ICML 2018
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks ICML 2018
WSNet: Compact and Efficient Networks Through Weight Sampling ICML 2018
Efficient Neural Audio Synthesis ICML 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data ICML 2018
Policy Optimization with Demonstrations ICML 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints ICML 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness ICML 2018
Frank-Wolfe with Subsampling Oracle ICML 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes ICML 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) ICML 2018
Nonconvex Optimization for Regression with Fairness Constraints ICML 2018
Towards Binary-Valued Gates for Robust LSTM Training ICML 2018
Detecting and Correcting for Label Shift with Black Box Predictors ICML 2018
Delayed Impact of Fair Machine Learning ICML 2018
Dimensionality-Driven Learning with Noisy Labels ICML 2018
Learning Adversarially Fair and Transferable Representations ICML 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network ICML 2018
The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018
Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams ICML 2018
Is Generator Conditioning Causally Related to GAN Performance? ICML 2018
Learning Compact Neural Networks with Regularization ICML 2018
Gradually Updated Neural Networks for Large-Scale Image Recognition ICML 2018