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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)

Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis MIDL 2026 Domain-Constrained Distillation of DINOv3 into a Lightweight Foundation Model Toward Point-of-Care Ultrasound MIDL 2026 DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts AAAI 2026 Domain Faithfulness through Counterfactually Robust Learning CLeaR 2026 Domain Generalizable AI Guardrails with Augmented Policy Training ACL 2026 Domain Sensitive Federated Learning with Fisher-Informed Pruning CVPR 2026 Domain-Skewed Federated Learning with Feature Decoupling and Calibration CVPR 2026 Don’t Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation ACL 2026 Doubly Debiased Robust Subsampling for Transfer Learning JMLR 2026 Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks CVPR 2026 DPAR: Dynamic Patchification for Efficient Autoregressive Visual Generation CVPR 2026 DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models CVPR 2026 DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities CVPR 2026 DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing ACL 2026 Drainage: A Unifying Framework for Addressing Class Uncertainty CVPR 2026 Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection SemEval 2026 DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning WACV 2026 DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior CVPR 2026 DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation ACL 2026 DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with Ease CVPR 2026 Drift-Resilient Temporal Priors for Visual Tracking CVPR 2026 DRM: Diffusion-based Reward Model With Step-wise Guidance CVPR 2026 Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented Design CVPR 2026 DSCA: Dynamic Subspace Concept Alignment for Lifelong VLM Editing CVPR 2026 DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR CVPR 2026