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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)

Dynamic Inference With Grounding Based Vision and Language Models CVPR 2023 Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation CoRL 2023 Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies CVPR 2023 Dynamic Open-book Prompt for Conversational Recommender System EMNLP 2023 Dynamic Personalized Federated Learning with Adaptive Differential Privacy NeurIPS 2023 Dynamic Regularization in UDA for Transformers in Multimodal Classification ACL 2023 Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting AAAI 2023 Dynamic Residual Classifier for Class Incremental Learning ICCV 2023 Dynamic Re-Weighting for Long-Tailed Semi-Supervised Learning WACV 2023 Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NeurIPS 2023 Dynamics-inspired Neuromorphic Visual Representation Learning ICML 2023 Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting ICLR 2023 Dynamic Voting for Efficient Reasoning in Large Language Models EMNLP 2023 DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance ACL 2023 Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes NeurIPS 2023 DynaMS: Dyanmic Margin Selection for Efficient Deep Learning ICLR 2023 Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation EMNLP 2023 DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings WACV 2023 E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection ICCV 2023 EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation EMNLP 2023 EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition AAAI 2023 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout AAAI 2023 Easy Differentially Private Linear Regression ICLR 2023 Easy Learning from Label Proportions NeurIPS 2023 Easy-to-Hard Learning for Information Extraction ACL 2023