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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)

Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training CVPR 2026 Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models CVPR 2026 Towards Robust Multi-Modal Semantic Segmentation with Teacher-Student Framework and Hybrid Prototype Distillation CVPR 2026 Towards Robust Sequential Decomposition for Complex Image Editing CVPR 2026 Towards Robust Vision Transformers: Path Dependency Analysis and a Simple Two-Stage Adversarial Training CVPR 2026 Towards Stable Federated Continual Test-Time Adaptation in Wild World CVPR 2026 Towards Stable Self-Supervised Object Representations in Unconstrained Egocentric Video CVPR 2026 Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach CVPR 2026 Towards Uncertainty-aware Unsupervised Domain Adaptation for Videos and Time-Series with Causal Optimal Transport CVPR 2026 TR2M: Transferring Monocular Relative Depth to Metric Depth with Language Descriptions and Dual-Level Scale-Oriented Contrast CVPR 2026 TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos CVPR 2026 Tracking by Predicting 3-D Gaussians Over Time CVPR 2026 Tracking through Severe Occlusion via Event-Derived Transient Cues CVPR 2026 TrackMAE: Video Representation Learning via Track Mask and Predict CVPR 2026 TrafficAlign: Aligning Large Language Models for Traffic Scenario Generation CVPR 2026 Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting WACV 2026 Training-Free Open-Vocabulary Camouflaged Object Segmentation via Fine-Grained Object Binding and Adaptive Hybrid Prompt CVPR 2026 Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models MIDL 2026 Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability ACL 2026 TrainMover: An Interruption-Resilient Runtime for ML Training OSDI 2026 Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents ACL 2026 Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature WACV 2026 Transfer Conformal Predictive Inference for Regression JMLR 2026 Transfer Learning via Regularized Random-effects Linear Discriminant Analysis JMLR 2026 TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code Detection SemEval 2026