conftrace_
← Machine Learning
Machine Learning ›

Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

4
48
348
949
4892
4576
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Modeling Musical Influence with Topic Models ICML 2013
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013
Exploring the Mind: Integrating Questionnaires and fMRI ICML 2013
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013
A Practical Algorithm for Topic Modeling with Provable Guarantees ICML 2013
Distributed training of Large-scale Logistic models ICML 2013
Margins, Shrinkage, and Boosting ICML 2013
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013
Sparse coding for multitask and transfer learning ICML 2013
Activized Learning with Uniform Classification Noise ICML 2013
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013
Hierarchical Regularization Cascade for Joint Learning ICML 2013
Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013
Bayesian Games for Adversarial Regression Problems ICML 2013
Markov Network Estimation From Multi-attribute Data ICML 2013
MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013
Guaranteed Sparse Recovery under Linear Transformation ICML 2013
Learning invariant features by harnessing the aperture problem ICML 2013
Differentially Private Learning with Kernels ICML 2013
Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space ICML 2013
Inference algorithms for pattern-based CRFs on sequence data ICML 2013
One-Bit Compressed Sensing: Provable Support and Vector Recovery ICML 2013
Tensor Analyzers ICML 2013
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression ICML 2013