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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)

ActBERT: Learning Global-Local Video-Text Representations CVPR 2020 ActionBytes: Learning From Trimmed Videos to Localize Actions CVPR 2020 Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs CVPR 2020 Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks WACV 2020 Action Modifiers: Learning From Adverbs in Instructional Videos CVPR 2020 Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation CVPR 2020 Action Segmentation with Mixed Temporal Domain Adaptation WACV 2020 Active Adversarial Domain Adaptation WACV 2020 Active Community Detection with Maximal Expected Model Change AISTATS 2020 Active Imitation Learning with Noisy Guidance ACL 2020 Active Invariant Causal Prediction: Experiment Selection through Stability NeurIPS 2020 Active Learning Approaches to Enhancing Neural Machine Translation EMNLP 2020 Active Learning for BERT: An Empirical Study EMNLP 2020 Active Learning for Coreference Resolution using Discrete Annotation ACL 2020 Active Learning for Identification of Linear Dynamical Systems COLT 2020 Active Learning for Imbalanced Datasets WACV 2020 Active Learning in the Geometric Block Model AAAI 2020 Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation ICML 2020 Active Learning with Query Generation for Cost-Effective Text Classification AAAI 2020 Active Local Learning COLT 2020 Actively Learning Gaussian Process Dynamics L4DC 2020 ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture CVPR 2020 Active Model Estimation in Markov Decision Processes UAI 2020 Active Ordinal Querying for Tuplewise Similarity Learning AAAI 2020 Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space EMNLP 2020