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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)

Masked Clustering Prediction for Unsupervised Point Cloud Pre-training AAAI 2026 Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling AAAI 2026 Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering AAAI 2026 MASP: Multi-Aspect Guided Emotion Reasoning with Soft Prompt Tuning In Vision-Language Models AAAI 2026 Matched-Pair Experimental Design with Active Learning UAI 2026 MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching ACL 2026 MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning AAAI 2026 MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy AAAI 2026 MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance AAAI 2026 MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality Assessment AAAI 2026 MDCS-MoAME: Multi-directional Composite Scanning with Mixture of Attention and Mamba Experts for Cancer Survival Prediction CVPR 2026 MDND: Unsupervised Learning Guided by Non-Differentiable Refinement for Shape Correspondence AAAI 2026 mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection SemEval 2026 Measure The Feature Universe: Topology-based Pseudo Labeling and Gravity Consistency for Source-Free Domain Adaptation CVPR 2026 Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance ACL 2026 MEDAL: multi-modal MEta-space Distillation and ALignment for Visual Compatibility Learning WACV 2026 MedHastra at SemEval-2026 Task 13: Stylometric Ensembles and Transformer Fine-Tuning for Robust AI Code Detection, Attribution, and Adversarial Analysis SemEval 2026 Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits? AAAI 2026 Medical Vision–Language Pretraining with LLM-Guided Temporal Supervision AAAI 2026 MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation WACV 2026 MedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities WACV 2026 Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm AAAI 2026 MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping CVPR 2026 Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection AAAI 2026 Memory Matters: Boosting Training-Free Zero-Shot Temporal Action Localization with a Learnable Lookup Table CVPR 2026