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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)

Context Aware Active Learning of Activity Recognition Models ICCV 2015 Context-based Unsupervised Data Fusion for Decision Making ICML 2015 Context-Guided Diffusion for Label Propagation on Graphs ICCV 2015 Contextual Dueling Bandits COLT 2015 Continuous Target Shift Adaptation in Supervised Learning ACML 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent NeurIPS 2015 Convergence Rates of Active Learning for Maximum Likelihood Estimation NeurIPS 2015 Convex Calibrated Surrogates for Hierarchical Classification ICML 2015 Convex Formulation for Learning from Positive and Unlabeled Data ICML 2015 Convex Learning of Multiple Tasks and their Structure ICML 2015 Copeland Dueling Bandits NeurIPS 2015 Cornering Stationary and Restless Mixing Bandits with Remix-UCB NeurIPS 2015 Correlation Clustering in Data Streams ICML 2015 Cortical Learning via Prediction COLT 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Cross-Age Face Verification by Coordinating With Cross-Face Age Verification CVPR 2015 Cross-Domain Image Retrieval With a Dual Attribute-Aware Ranking Network ICCV 2015 Cross-Scene Crowd Counting via Deep Convolutional Neural Networks CVPR 2015 Curriculum Learning of Multiple Tasks CVPR 2015 DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015 Data-Driven Sparsity-Based Restoration of JPEG-Compressed Images in Dual Transform-Pixel Domain CVPR 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Dataset Fingerprints: Exploring Image Collections Through Data Mining CVPR 2015 Dealing with small data: On the generalization of context trees ICML 2015 Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation NeurIPS 2015