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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)

Distributed Weight Consolidation: A Brain Segmentation Case Study NeurIPS 2018 Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection NAACL 2018 Distributionally Robust Graphical Models NeurIPS 2018 Diverse Ensemble Evolution: Curriculum Data-Model Marriage NeurIPS 2018 Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018 DiverseNet: When One Right Answer Is Not Enough CVPR 2018 Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation EMNLP 2018 Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification CVPR 2018 Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN CVPR 2018 DNN Multimodal Fusion Techniques for Predicting Video Sentiment ACL 2018 Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention ACL 2018 Document-Level Adaptation for Neural Machine Translation ACL 2018 Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings COLING 2018 Document Representation Learning for Patient History Visualization COLING 2018 Document Similarity for Texts of Varying Lengths via Hidden Topics ACL 2018 Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System EMNLP 2018 Does Tail Label Help for Large-Scale Multi-Label Learning IJCAI 2018 Domain Adaptation for Disease Phrase Matching with Adversarial Networks ACL 2018 Domain Adaptation with Adversarial Training and Graph Embeddings ACL 2018 Domain Generalization With Adversarial Feature Learning CVPR 2018 Domain-Invariant Projection Learning for Zero-Shot Recognition NeurIPS 2018 Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment CoRL 2018 Do Outliers Ruin Collaboration? ICML 2018 Doubly Aligned Incomplete Multi-view Clustering IJCAI 2018 Driving Policy Transfer via Modularity and Abstraction CoRL 2018