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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)

PMRNet: Physics-informed Multi-scale Refinement Network for Medical Image Segmentation CVPR 2026 POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation CVPR 2026 POGA: Paraphrased and Oppositional Graph Alignment for Fine-Grained Cross-Modal Retrieval CVPR 2026 PointAlign: Feature-Level Alignment Regularization for 3D Vision-Language Models CVPR 2026 PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning CVPR 2026 Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection CVPR 2026 PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting CVPR 2026 PointThinker: Point-Incentivized Parallel Thinking for Multimodal Large Language Model CVPR 2026 PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding CVPR 2026 PolaFusion at SemEval-2026 Task 9: Ensemble Transformers with Targeted Augmentation for Multilingual Polarization Detection SemEval 2026 PolAR Bears at SemEval-2026 Task 9: Parameter-Efficient Fine-Tuning and Cross-Lingual Augmentation for Multilingual Polarization Detection SemEval 2026 PolarizedTeam at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization SemEval 2026 PolarMind at SemEval-2026 Task 9: Leveraging LaBSE with Progressive Curriculum Learning for Multicultural Polarization SemEval 2026 PolDeck at SemEval-2026 Task 9: Multilingual Online Polarization Detection via Hybrid Model Ensembling and Data Augmentation SemEval 2026 Portable Active Learning for Object Detection CVPR 2026 PortraitDirector: A Hierarchical Disentanglement Framework for Controllable and Real-time Facial Reenactment CVPR 2026 PoseAnything: General Pose-guided Video Generation with Part-aware Temporal Coherence CVPR 2026 PoseGAM: Robust Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning CVPR 2026 Pose-guided Enriched Feature Learning for Federated-by-camera Person Re-identification CVPR 2026 PositionIC: Unified Position and Identity Consistency for Image Customization CVPR 2026 PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback CVPR 2026 PosterReward: Unlocking Accurate Evaluation for High-Quality Graphic Design Generation CVPR 2026 POUR: A Provably Optimal Method for Unlearning Representation via Neural Collapse CVPR 2026 PowerCLIP: Powerset Alignment for Contrastive Pre-Training CVPR 2026 Powering Verifiable Learning via Automated Evolutionary Data Synthesis ACL 2026