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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Exact Recovery of Sparsely-Used Dictionaries COLT 2012 Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Failure anticipation in pursuit-evasion RSS 2012 Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Feature-aware Label Space Dimension Reduction for Multi-label Classification NeurIPS 2012 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012 From Deformations to Parts: Motion-based Segmentation of 3D Objects NeurIPS 2012 Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation ACML 2012 Fusion with Diffusion for Robust Visual Tracking NeurIPS 2012 GenDeR: A Generic Diversified Ranking Algorithm NeurIPS 2012 Generalization Bounds for Domain Adaptation NeurIPS 2012 Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012 Generalized Optimal Reverse Prediction AISTATS 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Graphlet decomposition of a weighted network AISTATS 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012