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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)

Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models IJCAI 2021 Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021 Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021 Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NeurIPS 2021 Reinforcement Learning in Newcomblike Environments NeurIPS 2021 Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021 Reinforcement Learning of Implicit and Explicit Control Flow Instructions ICML 2021 Reinforcement Learning of Sequential Price Mechanisms AAAI 2021 Reinforcement Learning Under Moral Uncertainty ICML 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021 Reinforcement Learning with Prototypical Representations ICML 2021 Reinforcement Learning with Trajectory Feedback AAAI 2021 Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels CVPR 2021 Relating Adversarially Robust Generalization to Flat Minima ICCV 2021 Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models ICLR 2021 Relating Neural Text Degeneration to Exposure Bias EMNLP 2021 Relating Relations: Meta-Relation Extraction from Online Health Forum Posts EACL 2021 Relational Classification of Biological Cells in Microscopy Images AAAI 2021 Relational Embedding for Few-Shot Classification ICCV 2021 Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs AAAI 2021 Relation Also Need Attention: Integrating Relation Information Into Image Captioning ACML 2021 Relation-aware Graph Attention Model with Adaptive Self-adversarial Training AAAI 2021 Relation-aware Instance Refinement for Weakly Supervised Visual Grounding CVPR 2021 Relation Extraction with Word Graphs from N-grams EMNLP 2021 Relation-Guided Pre-Training for Open-Domain Question Answering EMNLP 2021