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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

From Blind Transfer to Wise Selection: Prototype-Driven Neighbor-Domain Adaptation for Fake News Detection AAAI 2026 From Classical to Contemporary: Evolutionary Analysis & Classification of Urdu Poetry EACL 2026 From Cognitive Priors to Instance Semantics: A Unified Framework for Multi-task Affective Computing WACV 2026 From Continual Learning to SGD and Back: Better Rates for Continual Linear Models ALT 2026 From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression MIDL 2026 From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026 From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech EACL 2026 From Few-Shot to Zero-Shot Pallet Load Recognition: A Deployed Embedding-Based Vision System for Industrial Logistics WACV 2026 From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks AAAI 2026 From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization ACL 2026 From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning AAAI 2026 From Narrow Unlearning to Emergent Misalignment in LLMs ACL 2026 From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations AAAI 2026 From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation ACL 2026 From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples AAAI 2026 From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge AAAI 2026 From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation WACV 2026 From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy AAAI 2026 From Sentiment to Interpretation: Teaching NLP for Literary Understanding Across Educational Contexts EACL 2026 From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning AAAI 2026 From Street to Orbit: Training-Free Cross-View Retrieval via Location Semantics and LLM Guidance WACV 2026 From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection AAAI 2026 From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026 FROST: Factual Reasoning via Optimized Stochastic Trajectories in Large Language Models during Inference ACL 2026 FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection WACV 2026