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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)

DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering AAAI 2026 DMGINE: Day-Memory Guided Nighttime Image Enhancement for Dynamic Traffic Scenes AAAI 2026 DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection ACL 2026 DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management ACL 2026 DNA: Dual-branch Network with Adaptation for Open-Set Online Handwriting Generation WACV 2026 DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding AAAI 2026 Document-Level Zero-Shot Relation Extraction with Entity Side Information EACL 2026 Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles ACL 2026 DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection AAAI 2026 Do LLM hallucination detectors suffer from low-resource effect? EACL 2026 Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy AAAI 2026 Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction AAAI 2026 Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency WACV 2026 Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error ACL 2026 Don’t Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints AAAI 2026 Don’t Test What You Can Deduce: Causal Discovery with Logical Inference UAI 2026 DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation AAAI 2026 DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation WACV 2026 Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models AAAI 2026 Do We Need to Penalize Variance of Losses for Learning with Label Noise? JMLR 2026 Do You See Me : A Multidimensional Benchmark for Evaluating Visual Perception in Multimodal LLMs EACL 2026 DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models CVPR 2026 DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering AAAI 2026 Drainage: A Unifying Framework for Addressing Class Uncertainty CVPR 2026 DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models WACV 2026