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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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477
4,652
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2000
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Papers (including subtopics)

Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 Contrastive Adaptation Network for Unsupervised Domain Adaptation CVPR 2019 Contrastive Attention Mechanism for Abstractive Sentence Summarization EMNLP 2019 Contrastive Language Adaptation for Cross-Lingual Stance Detection EMNLP 2019 Controllable Neural Story Plot Generation via Reward Shaping IJCAI 2019 Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation NeurIPS 2019 Controlling Neural Level Sets NeurIPS 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Convergence of Adversarial Training in Overparametrized Neural Networks NeurIPS 2019 Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding ACL 2019 ConvLab: Multi-Domain End-to-End Dialog System Platform ACL 2019 Convolutional Neural Collaborative Filtering with Stacked Embeddings ACML 2019 Convolutional Neural Networks for Financial Text Regression ACL 2019 Convolutional neural networks for low-resource morpheme segmentation: baseline or state-of-the-art? ACL 2019 Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games AAAI 2019 Copula Multi-label Learning NeurIPS 2019 Co-Representation Network for Generalized Zero-Shot Learning ICML 2019 Coresets for Archetypal Analysis NeurIPS 2019 Correct-and-Memorize: Learning to Translate from Interactive Revisions IJCAI 2019 Correcting Whitespace Errors in Digitized Historical Texts NAACL 2019 Correlated Learning for Aggregation Systems UAI 2019 Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NeurIPS 2019 Correlated Variational Auto-Encoders ICML 2019 Correlation Clustering with Adaptive Similarity Queries NeurIPS 2019 Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning EMNLP 2019