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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)

Rademacher Observations, Private Data, and Boosting ICML 2015
The Ladder: A Reliable Leaderboard for Machine Learning Competitions ICML 2015
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015
Unsupervised Domain Adaptation by Backpropagation ICML 2015
The Composition Theorem for Differential Privacy ICML 2015
Hashing for Distributed Data ICML 2015
Is Feature Selection Secure against Training Data Poisoning? ICML 2015
Deep Learning with Limited Numerical Precision ICML 2015
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices ICML 2015
Active Nearest Neighbors in Changing Environments ICML 2015
Feature-Budgeted Random Forest ICML 2015
An embarrassingly simple approach to zero-shot learning ICML 2015
Compressing Neural Networks with the Hashing Trick ICML 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015
SAMOA: Scalable Advanced Massive Online Analysis JMLR 2015
Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit JMLR 2015
Evolving GPU Machine Code JMLR 2015
CEKA: A Tool for Mining the Wisdom of Crowds JMLR 2015
Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 JMLR 2015
On Semi-Supervised Linear Regression in Covariate Shift Problems JMLR 2015
Plug-and-Play Dual-Tree Algorithm Runtime Analysis JMLR 2015
Marginalizing Stacked Linear Denoising Autoencoders JMLR 2015
A Square Root Inverse Filter for Efficient Vision-aided Inertial Navigation on Mobile Devices RSS 2015
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NIPS 2014