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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)

SelecTKD: Selective Token-Weighted Knowledge Distillation for LLMs CVPR 2026 Self-Critical Distillation Network for Video-based Commonsense Captioning CVPR 2026 Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation ACL 2026 Self-guided Semantic Inspection for Zero-Shot Composed Image Retrieval CVPR 2026 Selfi: Self-improving Reconstruction Engine via 3D Geometric Feature Alignment CVPR 2026 Self-Paced and Self-Corrective Masked Prediction for Movie Trailer Generation CVPR 2026 Self-Reflective Generation at Test Time ACL 2026 Self-SoftCoT: A Self-Consistent Framework via Position-Aware Latent Space Reinforcement Learning ACL 2026 Self-supervised Dynamic Heterogeneous Degradation Modeling for Unified Zero-Shot Image Restoration CVPR 2026 SelFusion: Self-distillation for Diffusion Language Models ACL 2026 Semantic Alignment for Pose-Invariant Identity Preserving Diffusion CVPR 2026 Semantic Contrastive Adaptation for Multimodal Figurative Language Understanding ACL 2026 Semantic-Guided Global-Local Collaborative Prompt Learning for Few-Shot Class Incremental Learning CVPR 2026 Semantic Hardness Is Not Visual Hardness: Sign-Aware Hard Negative Mining for Sign Language Retrieval ACL 2026 Semantic Noise Reduction via Teacher-Guided Dual-Path Audio-Visual Representation Learning CVPR 2026 Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion CVPR 2026 Semantic Vectors at SemEval-2026 Task 9: Robust Multilingual Polarization Detection via Dual-Encoder Fusion and Expert Ensembling SemEval 2026 SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application Scenarios SemEval 2026 SemEval-2026 Task 13: Fine-tuned CodeBERT with Stratified Balancing, Dynamic Threshold Optimization, and Logit Bias Correction for Robust Multi-Language AI Code Detection SemEval 2026 SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA) SemEval 2026 SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization SemEval 2026 SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation CVPR 2026 Semi-supervised Echocardiography Video Segmentation via Anchor Semantic Awareness and Continuous Pseudo-label Reforging CVPR 2026 Semi-supervised learning for linear extremile regression JMLR 2026 Semi-Synthetic Localization Datasets for Radiological Findings on Chest X-Rays MIDL 2026