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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)

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation CVPR 2026 Customized Fusion: A Closed-Loop Dynamic Network for Adaptive Multi-Task-Aware Infrared-Visible Image Fusion CVPR 2026 Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Events CVPR 2026 CVA: Context-aware Video-text Alignment for Video Temporal Grounding CVPR 2026 CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation MIDL 2026 Cycle-Consistent Tuning for Layered Image Decomposition CVPR 2026 CyclePhase: Robust phase detection in cardiovascular imaging through cyclic motion estimation MIDL 2026 CypherSmith: Transforming Text-to-Cypher Generation for LLMs with Synthetic Data ACL 2026 CYUT at SemEval-2026 Task 3: Multi-Task Dimensional Aspect Sentiment Regression with Polar Multi-Zone Labeling in VA Space SemEval 2026 D$^2$-Former: Mixture-Of-Experts Guided Dual Transformer for Multi-Scale Medical Image Segmentation MIDL 2026 D2Dewarp: Dual Dimensions Geometric Representation Learning Based Document Image Dewarping CVPR 2026 D2T2 - Multimodal Automated Planning for Brachytherapy CVPR 2026 D3D-VLP: Dynamic 3D Vision-Language-Planning Model for Embodied Grounding and Navigation CVPR 2026 DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection CVPR 2026 Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging CVPR 2026 DANGNT@SGU at SemEval-2026 Task 1: A Two-Stage Mistral Generator with DistilBERT Reranking for English Humor Generation SemEval 2026 DARC: Dual Adjustment Reasoning with Counterfactuals for Trustworthy Chest X-ray Classification CVPR 2026 DarkAct: A RGB-Thermal Dataset and Fusion Framework for Multimodal Low-Light Action Recognition CVPR 2026 DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data ACL 2026 Data Augmentation: A Fourier Analysis Perspective COLT 2026 Data Efficient RLVR via Off-Policy Influence Guidance ACL 2026 Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech ACL 2026 Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training ACL 2026 Data Pollination: An Emergent Ecological Process Driving AI Population Evolution ACL 2026 DC-Merge: Improving Model Merging with Directional Consistency CVPR 2026