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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)

ORSATR-X: A Foundation Model based on Differential-and-Excitation Networks for Optical Remote Sensing Object Recognition CVPR 2026 OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models CVPR 2026 ORV: 4D Occupancy-centric Robot Video Generation CVPR 2026 OS-Fed: One Snapshot Is All You Need CVPR 2026 OS-Oracle: A Comprehensive Framework for Cross-Platform GUI Critic Models CVPR 2026 OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation CVPR 2026 Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models ACL 2026 Outlier-Robust Diffusion Solvers for Inverse Problems CVPR 2026 Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos CVPR 2026 Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment WACV 2026 OZemi at SemEval-2026 Task 9: A Cross-Lingual Approach to Online Text Polarization Classification Using Multilingual Models and Adaptive Loss Formulation SemEval 2026 PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling CVPR 2026 PAF: Perturbation-Aware Filtering for Open-Set Semi-Supervised Learning CVPR 2026 PAGET: Hierarchical Multi-Teacher Knowledge Distillation for Comprehensive Tumor Microenvironment Segmentation MIDL 2026 PALI at SemEval-2026 Task 3: LoRA Fine-Tuning with Validation for DimABSA SemEval 2026 PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation CVPR 2026 PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition ACL 2026 PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection CVPR 2026 PaRaChute: Pathology-Radiology Cross-Modal Fusion for Missing-Modality-Robust Survival Prediction WACV 2026 Paradise at SemEval-2026 Task 12: Leveraging Instruction-Tuned Large Language Models with Chain-of-Thought Prompting for Abductive Event Reasoning SemEval 2026 Parallax to Align Them All: An OmniParallax Attention Mechanism for Distributed Multi-View Image Compression CVPR 2026 Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation ACL 2026 Parameter-Efficient Adaptation for MLLMs via Implicit Modality Decomposition CVPR 2026 Parameter-efficient Continual Learning for Enhancing Plasticity without Forgetting under Limited Model Capacity CVPR 2026 Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning ACL 2026