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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 Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning ICLR 2025 Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation CVPR 2025 Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025 Learning Endogenous Attention for Incremental Object Detection CVPR 2025 Learning from a Few Shots: Data-efficient Cervical Vertebral Maturation Assessment MIDL 2025 Learning from biased positive-unlabeled data via threshold calibration AISTATS 2025 Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection ACL 2025 Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation EMNLP 2025 Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research COLING 2025 Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling ICLR 2025 Learning from Label Proportions and Covariate-shifted Instances UAI 2025 Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery ACL 2025 Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction AAAI 2025 Learning from negative feedback, or positive feedback or both ICLR 2025 Learning from Negative Samples in Biomedical Generative Entity Linking ACL 2025 Learning from Neighbors: Category Extrapolation for Long-Tail Learning CVPR 2025 Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling AAAI 2025 Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations ICML 2025 Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025 Learning from Streaming Video with Orthogonal Gradients CVPR 2025 Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies IJCNLP 2025 Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes CVPR 2025 Learning from weak labelers as constraints ICLR 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025 Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks AISTATS 2025