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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Stochastic variational inference for hidden Markov models NeurIPS 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 Structure learning of antiferromagnetic Ising models NeurIPS 2014 Structure Regularization for Structured Prediction NeurIPS 2014 Subspace Clustering for Sequential Data CVPR 2014 Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits ICML 2014 Tell Me What You See and I will Show You Where It Is CVPR 2014 The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NeurIPS 2014 The Blinded Bandit: Learning with Adaptive Feedback NeurIPS 2014 The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014 The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling AISTATS 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014 The sample complexity of agnostic learning under deterministic labels COLT 2014 The Secrets of Salient Object Segmentation CVPR 2014 Thompson Sampling for Complex Online Problems ICML 2014 Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014 Time-Regularized Interrupting Options (TRIO) ICML 2014 Timing-Based Local Descriptor for Dynamic Surfaces CVPR 2014 T-Linkage: A Continuous Relaxation of J-Linkage for Multi-Model Fitting CVPR 2014 Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data ICML 2014 Towards Minimax Online Learning with Unknown Time Horizon ICML 2014 Towards Multi-view and Partially-Occluded Face Alignment CVPR 2014 Tracking Indistinguishable Translucent Objects over Time using Weakly Supervised Structured Learning CVPR 2014