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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)

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation CVPR 2026 MambaSIC: Mamba-based Stereo Image Compression with Bi-directional Multi-reference Entropy Model CVPR 2026 MAMMA: Markerless Accurate Multi-person Motion Acquisition CVPR 2026 ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation CVPR 2026 MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images MIDL 2026 Mapping the Circumplex of Affect: Geometric Analysis of Emotion Representations via Hyperspherical Contrastive Learning ACL 2026 MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models CVPR 2026 MapRoute:Precise-Concept Erasing Mappers via Semantic Routing CVPR 2026 MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization CVPR 2026 MARCO: Navigating the Unseen Space of Semantic Correspondence CVPR 2026 Mario: Multimodal Graph Reasoning with Large Language Models CVPR 2026 MARIS: Marine Open-Vocabulary Instance Segmentation CVPR 2026 MarSan at SemEval-2026 Task 4: Narrative Similarity via Sentence-BERT Metric Learning with Triple-Derived Losses SemEval 2026 MARSS: Radar Semantic Segmentation via Modular Attention and State Space Models CVPR 2026 MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI MIDL 2026 MaskAdapt: Learning Flexible Motion Adaptation via Mask-Invariant Prior for Physics-Based Characters CVPR 2026 Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning CVPR 2026 Masked Region Transformer for Layered Image Generation and Editing at Scale CVPR 2026 Masked Representation Modeling for Domain-Adaptive Segmentation CVPR 2026 MaskFocus: Focusing Policy Optimization on Critical Steps for Masked Image Generation CVPR 2026 Mask to Align, Weight to Disambiguate: Reliable Unsupervised Cross-Modal Hashing with Masked-Weight Contrast CVPR 2026 Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction ACL 2026 Match-and-Fuse: Consistent Generation from Unstructured Image Sets CVPR 2026 MatchED: Crisp Edge Detection Using End-to-End, Matching-based Supervision CVPR 2026 MatchMask: Mask-Centric Generative Data Augmentation for Label-Scarce Semantic Segmentation CVPR 2026