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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)

Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning CVPR 2026 Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction CVPR 2026 Rectifying Latent Space for Generative Single-Image Reflection Removal CVPR 2026 Recurrent Reasoning with Vision-Language Models for Estimating Long-Horizon Embodied Task Progress CVPR 2026 Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts ACL 2026 ReEfBench: Quantifying the Reasoning Efficiency of LLMs ACL 2026 Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning CVPR 2026 ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation CVPR 2026 ReFL: Reflective Feedback Learning for Hallucination Detection of Large Language Models ACL 2026 ReFTA: Breaking the Weight Reconstruction Bottleneck in Tensorized Parameter-Efficient Fine-Tuning CVPR 2026 RegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection CVPR 2026 Region-Adaptive Sampling for Diffusion Transformers CVPR 2026 Region-Aware Instance Consistency Learning for Micro-Expression Recognition CVPR 2026 REGLAT at SemEval-2026 Task 9: Enhancing Arabic Online Polarization Detection Using AraBERT and Synonym Replacement Augmentation SemEval 2026 Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition CVPR 2026 Reinforcement Learning-based Adaptive Control of Classifier-Free Guidance and Timestep Embeddings in Diffusion Models WACV 2026 Reinforcement Learning for Diffusion LLMs via Energy-Based Gibbs Alignment ACL 2026 Reinforcement Learning for Self-Improving Agent with Skill Library ACL 2026 Reinforcement Learning on Pre-Training Data ACL 2026 Reinforce to Learn, Elect to Reason: A Dual Paradigm for Video Reasoning CVPR 2026 Reinforcing Structured Chain-of-Thought for Video Understanding CVPR 2026 Reinforcing Video Object Segmentation to Think before it Segments CVPR 2026 Reliable Clustering Number Estimation for Contrastive Multi-View Clustering CVPR 2026 Reliev3R: Relieving Feed-forward 3D Reconstruction from Multi-View Geometric Annotations CVPR 2026 ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation ACL 2026