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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)

Learning to Verify Summary Facts with Fine-Grained LLM Feedback COLING 2025 Learning to Visually Connect Actions and their Effects WACV 2025 Learning Transformer-based World Models with Contrastive Predictive Coding ICLR 2025 Learning Transition Patterns by Large Language Models for Sequential Recommendation COLING 2025 Learning under Noisy Labels Spurious Points and Diverse Structures: TS40K a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems WACV 2025 Learning under Temporal Label Noise ICLR 2025 Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning WACV 2025 Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning AAAI 2025 Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer ICLR 2025 Learning Visual Composition through Improved Semantic Guidance CVPR 2025 Learning Visual Generative Priors without Text CVPR 2025 Learning Visual Grounding from Generative Vision and Language Model WACV 2025 Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval ICCV 2025 Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation AAAI 2025 Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition WACV 2025 Learning with contextual information in non-stationary environments L4DC 2025 Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data NAACL 2025 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025 Learning with Noisy Triplet Correspondence for Composed Image Retrieval CVPR 2025 Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space AAAI 2025 Learning Word Embeddings from Glosses: A Multi-Loss Framework for Arabic Reverse Dictionary Tasks EMNLP 2025 Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025 Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering IJCAI 2025 Learn Together: Joint Multitask Finetuning of Pretrained KG-enhanced LLM for Downstream Tasks COLING 2025 Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory ACL 2025