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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)

Leveraging Multiple Domains for Sentiment Classification COLING 2016 Lifelong Learning with Weighted Majority Votes NeurIPS 2016 Lightly Supervised Quality Estimation COLING 2016 Linguistica 5: Unsupervised Learning of Linguistic Structure NAACL 2016 Localized Multiple Kernel Learning—A Convex Approach ACML 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 Logistic Boosting Regression for Label Distribution Learning CVPR 2016 LOMo: Latent Ordinal Model for Facial Analysis in Videos CVPR 2016 Long-term Causal Effects via Behavioral Game Theory NeurIPS 2016 Loss factorization, weakly supervised learning and label noise robustness ICML 2016 Machine Learning in an Auction Environment JMLR 2016 Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development Interspeech 2016 Marginal Contrast Among Romanian Vowels: Evidence from ASR and Functional Load Interspeech 2016 Matching Networks for One Shot Learning NeurIPS 2016 Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NeurIPS 2016 MDL-CW: A Multimodal Deep Learning Framework With Cross Weights CVPR 2016 Measuring Neural Net Robustness with Constraints NeurIPS 2016 Megaman: Scalable Manifold Learning in Python JMLR 2016 MEKA: A Multi-label/Multi-target Extension to WEKA JMLR 2016 Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input COLING 2016 MetaGrad: Multiple Learning Rates in Online Learning NeurIPS 2016 Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition Interspeech 2016 Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs ICML 2016 Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NeurIPS 2016 Minimizing Annotation Effort for Adaptation of Speech-Activity Detection Systems Interspeech 2016