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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization ACL 2026 Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images Detection CVPR 2026 Endless World: Real-Time 3D-Aware Long Video Generation CVPR 2026 End-to-End Deep Learning for Predicting Metric Space-Valued Outputs JMLR 2026 Energy Waveify and Redistribution for Test-Time Adaptation: A Control System Perspective CVPR 2026 Enforcing 3D Coherence in Semi-Supervised Segmentation for Pancreatic Tumor Histopathology from Light Sheet Fluorescence Microscopy MIDL 2026 Enhancing Accuracy in Generative Models via Knowledge Transfer JMLR 2026 Enhancing Accuracy of Uncertainty Estimation in Appearance-based Gaze Tracking with Probabilistic Evaluation and Calibration CVPR 2026 Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting CVPR 2026 Enhancing Descriptive Captions with Visual Attributes for Multimodal Perception CVPR 2026 Enhancing Hands in 3D Whole-Body Pose Estimation with Conditional Hands Modulator CVPR 2026 Enhancing Job Evaluation with Data Augmentation and Text Classification ACL 2026 Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization ACL 2026 Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling CVPR 2026 Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation ACL 2026 Enhancing Out-of-Distribution Detection with Extended Logit Normalization CVPR 2026 Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning ACL 2026 Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection WACV 2026 Enhancing Spatial Understanding in Image Generation via Reward Modeling CVPR 2026 Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning CVPR 2026 Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning CVPR 2026 Ensemble Diversity Optimization for Subjective Supervision UAI 2026 EPI Distortion Correction without Opposite Phase Encodings with Unsupervised INR-Based Deformable Registration MIDL 2026 Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models CVPR 2026 Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models ACL 2026