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← Machine Learning
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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)

One Permutation Hashing NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
Near-optimal Differentially Private Principal Components NIPS 2012
On Using Nearly-Independent Feature Families for High Precision and Confidence ACML 2012
Practical Large Scale Classification with Additive Kernels ACML 2012
Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012
History-alignment models for bias-aware prediction of virological response to HIV combination therapy AISTATS 2012
Structured Sparse Canonical Correlation Analysis AISTATS 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012
Classifier Cascade for Minimizing Feature Evaluation Cost AISTATS 2012
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012
Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012
Local Anomaly Detection AISTATS 2012
Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012
Differentially Private Online Learning COLT 2012
Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012
Distributed Learning, Communication Complexity and Privacy COLT 2012
Near-Optimal Algorithms for Online Matrix Prediction COLT 2012
NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012
Local and Global Scaling Reduce Hubs in Space JMLR 2012
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012
Large-scale Linear Support Vector Regression JMLR 2012
DARWIN: A Framework for Machine Learning and Computer Vision Research and Development JMLR 2012
Colour-Consistent Structure-from-Motion Models using Underwater Imagery RSS 2012