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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)

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation CVPR 2026 Reward Sharpness-Aware Fine-Tuning for Diffusion Models CVPR 2026 Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation CVPR 2026 Right at My Level: A Unified Multilingual Framework for Proficiency-Aware Text Simplification ACL 2026 RigMo: Unifying Rig and Motion Learning for Generative Animation CVPR 2026 RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape Retrieval CVPR 2026 RINO: Rotation-Invariant Non-Rigid Correspondences CVPR 2026 RiskProp: Collision-Anchored Self-Supervised Risk Propagation For Early Accident Anticipation CVPR 2026 RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection ACL 2026 RMAE-ProGRess: Advancing Semantic Segmentation in Unstructured Environments CVPR 2026 RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding WACV 2026 RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction CVPR 2026 RoboAgent: Chaining Basic Capabilities for Embodied Task Planning CVPR 2026 Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution Can Improve Robust Scene Graph Generation CVPR 2026 RoboWheel: A Data Engine from Real-World Human Demonstrations for Cross-Embodiment Robotic Learning CVPR 2026 Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats CVPR 2026 Robust Promptable Video Object Segmentation CVPR 2026 Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss JMLR 2026 Role-SynthCLIP: A Role-Play Driven Diverse Synthetic Data Approach CVPR 2026 RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching NSDI 2026 RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation CVPR 2026 Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models CVPR 2026 RoSAMDepth: Robust Self-supervised Depth Estimation Leveraging Segment Anything Model CVPR 2026 Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL ACL 2026 RPGFusion: 4D Radar Prior-Guided Multi-Modal Fusion for 3D Detection CVPR 2026