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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)

An Information-Theoretic Analysis for Thompson Sampling with Many Actions NeurIPS 2018 An Information Theory based Approach to Multisource Clustering IJCAI 2018 An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking EMNLP 2018 Annotating Claims in the Vaccination Debate EMNLP 2018 Annotating picture description task responses for content analysis NAACL 2018 Annotation Artifacts in Natural Language Inference Data NAACL 2018 Annotator Trustability-based Cooperative Learning Solutions for Intelligent Audio Analysis Interspeech 2018 An Off-policy Policy Gradient Theorem Using Emphatic Weightings NeurIPS 2018 A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization AISTATS 2018 Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 2018 Anonymous Walk Embeddings ICML 2018 A no-regret generalization of hierarchical softmax to extreme multi-label classification NeurIPS 2018 A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios IJCAI 2018 A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition IJCAI 2018 A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018 An Unsupervised Learning Model for Deformable Medical Image Registration CVPR 2018 An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks Interspeech 2018 An Unsupervised System for Parallel Corpus Filtering EMNLP 2018 Aperture Supervision for Monocular Depth Estimation CVPR 2018 APLenty: annotation tool for creating high-quality datasets using active and proactive learning EMNLP 2018 Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task NAACL 2018 Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018 Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning EMNLP 2018 Approximate Ranking from Pairwise Comparisons AISTATS 2018 A Practical Algorithm for Distributed Clustering and Outlier Detection NeurIPS 2018