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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)

Compressed Regression NIPS 2007
A learning framework for nearest neighbor search NIPS 2007
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NIPS 2007
Learning Bounds for Domain Adaptation NIPS 2007
Ultrafast Monte Carlo for Statistical Summations NIPS 2007
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NIPS 2007
Anytime Induction of Cost-sensitive Trees NIPS 2007
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NIPS 2007
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Automatic Generation of Social Tags for Music Recommendation NIPS 2007
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NIPS 2007
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Object Recognition by Scene Alignment NIPS 2007
Multiple-Instance Pruning For Learning Efficient Cascade Detectors NIPS 2007
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007
Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007
Multi-class Protein Classification Using Adaptive Codes JMLR 2007
Context and Feature Sensitive Re-sampling from Discrete Surface Measurements RSS 2007
Dense Mapping for Range Sensors: Efficient Algorithms and Sparse Representations RSS 2007
Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains RSS 2007
Learning from Multiple Sources NIPS 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
Handling Advertisements of Unknown Quality in Search Advertising NIPS 2006
Map-Reduce for Machine Learning on Multicore NIPS 2006