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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)

REL-SF4PASS: Panoramic Semantic Segmentation with REL Depth Representation and Spherical Fusion CVPR 2026 Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement UAI 2026 Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection CVPR 2026 REMIND: Memorization and Unlearning in LLMs Through the Lens of Input Loss Landscapes ACL 2026 ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data CVPR 2026 ReMoT: Reinforcement Learning with Motion Contrast Triplets CVPR 2026 Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning ACL 2026 Render-to-Adapt: Unsupervised Personal Adaptation for Gaze Estimation CVPR 2026 Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models CVPR 2026 ReSAM: Refine, Requery, and Reinforce: Self-Prompting Point-Supervised Segmentation for Remote Sensing Images CVPR 2026 ReScene4D: Temporally Consistent Semantic Instance Segmentation of Evolving Indoor 3D Scenes CVPR 2026 Residual Connections Harm Generative Representation Learning CVPR 2026 Residual Diffusion Bridge Model for Image Restoration CVPR 2026 Resolving the Identity Crisis in Text-to-Image Generation CVPR 2026 RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification ACL 2026 Restore, Assess, Repeat: A Unified Framework for Iterative Image Restoration CVPR 2026 Rethinking 2D-3D Registration: A Novel Network for High-Value Zone Selection and Representation Consistency Alignment CVPR 2026 Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning CVPR 2026 Rethinking Box Supervision: Bias-Free Weakly Supervised Medical Segmentation CVPR 2026 Rethinking Camera Choice: An Empirical Study on Fisheye Camera Properties in Robotic Manipulation CVPR 2026 Rethinking Cross-Modal Anchor Alignment for Mitigating Error Accumulation CVPR 2026 Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning ACL 2026 Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning ACL 2026 Rethinking Glyph Spatial Information in Font Generation CVPR 2026 Rethinking Intermediate Representation for VLM-based Robot Manipulation CVPR 2026