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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)

Distributional Hypernym Generation by Jointly Learning Clusters and Projections COLING 2016 DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016 DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data Interspeech 2016 Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding Interspeech 2016 Domain Adaptation with Conditional Transferable Components ICML 2016 Domain-Adversarial Training of Neural Networks JMLR 2016 Domain Separation Networks NeurIPS 2016 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing JMLR 2016 Double Thompson Sampling for Dueling Bandits NeurIPS 2016 Dual Learning for Machine Translation NeurIPS 2016 Dual Space Gradient Descent for Online Learning NeurIPS 2016 Echo State Hoeffding Tree Learning ACML 2016 EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator ACML 2016 Efficient Algorithms for Adversarial Contextual Learning ICML 2016 Efficiently Creating 3D Training Data for Fine Hand Pose Estimation CVPR 2016 Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model ICML 2016 Efficient Point Process Inference for Large-Scale Object Detection CVPR 2016 Efficient Second Order Online Learning by Sketching NeurIPS 2016 Eliciting Categorical Data for Optimal Aggregation NeurIPS 2016 Enhancing Topic Modeling on Short Texts with Crowdsourcing ACML 2016 e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem JMLR 2016 Error Correction in Lightly Supervised Alignment of Broadcast Subtitles Interspeech 2016 Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating Maximum Expected Value through Gaussian Approximation ICML 2016