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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models ICLR 2018 Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? CoNLL 2018 LaVAN: Localized and Visible Adversarial Noise ICML 2018 Leadership in Singleton Congestion Games IJCAI 2018 Lean Multiclass Crowdsourcing CVPR 2018 Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations ICML 2018 Learning 3D Shape Completion From Laser Scan Data With Weak Supervision CVPR 2018 Learning 6-DoF Grasping and Pick-Place Using Attention Focus CoRL 2018 Learning Adversarially Fair and Transferable Representations ICML 2018 Learning a Generative Model for Validity in Complex Discrete Structures ICLR 2018 Learning and Testing Causal Models with Interventions NeurIPS 2018 Learning and Using the Arrow of Time CVPR 2018 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning Attribute Representations With Localization for Flexible Fashion Search CVPR 2018 Learning-based Composite Metrics for Improved Caption Evaluation ACL 2018 Learning Bayesian Networks by Branching on Constraints PGM 2018 Learning Beam Search Policies via Imitation Learning NeurIPS 2018 Learning by Asking Questions CVPR 2018 Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018 Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs EMNLP 2018 Learning Compositional Visual Concepts With Mutual Consistency CVPR 2018 Learning Concept Abstractness Using Weak Supervision EMNLP 2018 Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition Interspeech 2018 Learning Confidence Sets using Support Vector Machines NeurIPS 2018 Learning Deep Disentangled Embeddings With the F-Statistic Loss NeurIPS 2018