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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)

Estimating Mutual Information in Under-Reported Variables PGM 2016 Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity CVPR 2016 Estimating the class prior and posterior from noisy positives and unlabeled data NeurIPS 2016 Estimation from Indirect Supervision with Linear Moments ICML 2016 Evasion and Hardening of Tree Ensemble Classifiers ICML 2016 Event-Specific Image Importance CVPR 2016 Exemplar Dynamics in Phonetic Convergence of Speech Rate Interspeech 2016 Expanding wordnets to new languages with multilingual sense disambiguation COLING 2016 Exploit Bounding Box Annotations for Multi-Label Object Recognition CVPR 2016 Exploiting Hidden-Layer Responses of Deep Neural Networks for Language Recognition Interspeech 2016 Exploring the value space of attributes: Unsupervised bidirectional clustering of adjectives in German COLING 2016 Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages COLING 2016 Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision JMLR 2016 Extreme F-measure Maximization using Sparse Probability Estimates ICML 2016 Eye Tracking for Everyone CVPR 2016 Facial Expression Intensity Estimation Using Ordinal Information CVPR 2016 Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training COLING 2016 Factored Temporal Sigmoid Belief Networks for Sequence Learning ICML 2016 Factors in Finetuning Deep Model for Object Detection With Long-Tail Distribution CVPR 2016 Far-Field ASR Without Parallel Data Interspeech 2016 Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction CVPR 2016 fastFM: A Library for Factorization Machines JMLR 2016 Fast Zero-Shot Image Tagging CVPR 2016 Feature Learning and Automatic Segmentation for Dolphin Communication Analysis Interspeech 2016 Feature-Level Domain Adaptation JMLR 2016