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Machine Learning ›

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)

Statistical and Computational Trade-Offs in Kernel K-Means NIPS 2018
Uplift Modeling from Separate Labels NIPS 2018
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NIPS 2018
Phase Retrieval Under a Generative Prior NIPS 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation NIPS 2018
Why Is My Classifier Discriminatory? NIPS 2018
Learning to Reconstruct Shapes from Unseen Classes NIPS 2018
Mixture Matrix Completion NIPS 2018
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning NIPS 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations NIPS 2018
cpSGD: Communication-efficient and differentially-private distributed SGD NIPS 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NIPS 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction NIPS 2018
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NIPS 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data NIPS 2018
Multitask Boosting for Survival Analysis with Competing Risks NIPS 2018
Algorithms and Theory for Multiple-Source Adaptation NIPS 2018
On preserving non-discrimination when combining expert advice NIPS 2018
The Price of Privacy for Low-rank Factorization NIPS 2018
Extracting Relationships by Multi-Domain Matching NIPS 2018
Diverse Ensemble Evolution: Curriculum Data-Model Marriage NIPS 2018
Modular Networks: Learning to Decompose Neural Computation NIPS 2018
Differentially Private k-Means with Constant Multiplicative Error NIPS 2018
Contamination Attacks and Mitigation in Multi-Party Machine Learning NIPS 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization NIPS 2018