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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)

Eigenvalue Calibration for Semantic Embeddings of Large Language Models UAI 2026 Elastic Weight Consolidation Done Right for Continual Learning CVPR 2026 ELLA: Efficient Lifelong Learning for Adapters in Large Language Models EACL 2026 Ellat at SemEval-2026 Task 11: Comparing Encoder and Decoder Models for Syllogistic Reasoning SemEval 2026 Ellipsoid-Based Decision Boundaries for Open Intent Classification AAAI 2026 E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering AAAI 2026 Elucidating the SNR-t Bias of Diffusion Probabilistic Models CVPR 2026 EMMA: Extracting Multiple physical parameters from Multimodal Data CVPR 2026 Emo-tica at SemEval-2026 Task 2: Trait–State Affect Forecaster for Longitudinal Valence and Arousal SemEval 2026 Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection AAAI 2026 Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning WACV 2026 Enabling Delayed-Full Charging Through Transformer-Based Real-Time-to-Departure Modeling for EV Battery Longevity AAAI 2026 EndoStreamDepth: Temporally Consistent Monocular Depth Estimation for Endoscopic Video Streams MIDL 2026 Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping AAAI 2026 Enhancing Automatic Speech Recognition Models for Maternal and Reproductive Health: Fine-Tuning and Real-World Evaluation in Wolof EACL 2026 Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning AAAI 2026 Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization AAAI 2026 Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping L4DC 2026 Enhancing Job Evaluation with Data Augmentation and Text Classification ACL 2026 Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion AAAI 2026 Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective AAAI 2026 Enhancing Object Detection Training via Joint Image-Annotation Generation WACV 2026 Enhancing Out-of-Distribution Detection with Extended Logit Normalization CVPR 2026 Enhancing Vision Language Corruption Robustness using Cross-Distribution & Prompted Denoisers WACV 2026 Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning CVPR 2026