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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)

ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions IJCAI 2025 Active Hyperspectral Imaging Using an Event Camera CVPR 2025 Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation AAAI 2025 Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation EMNLP 2025 Active Learning for Image Segmentation with Binary User Feedback WACV 2025 Active Learning for Multidialectal Arabic POS Tagging EMNLP 2025 Active Learning for Neural PDE Solvers ICLR 2025 Active Learning for Vision Language Models WACV 2025 Active Learning Meets Foundation Models: Fast Remote Sensing Data Annotation for Object Detection ICCV 2025 Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation WACV 2025 Active Multimodal Distillation for Few-shot Action Recognition IJCAI 2025 ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample V-Ensemble ICLR 2025 Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025 Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching AAAI 2025 A cultural shift in Western perceptions of Palestine COLING 2025 AcZeroTS: Active Learning for Zero-shot Tissue Segmentation in Pathology Images ICCV 2025 Ad^2mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation WACV 2025 AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis AAAI 2025 AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction AAAI 2025 AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation CVPR 2025 AdaDiff: Adaptive Step Selection for Fast Diffusion Models AAAI 2025 AdaDrive: Self-Adaptive Slow-Fast System for Language-Grounded Autonomous Driving ICCV 2025 Ada-K Routing: Boosting the Efficiency of MoE-based LLMs ICLR 2025 AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness ACL 2025 AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization CVPR 2025