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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)

Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models CVPR 2026 Scaling4D: Pushing the Frontier of Video Novel View Synthesis through Large-Scale Monocular Videos CVPR 2026 Scaling Dense Event-Stream Pretraining from Visual Foundation Models CVPR 2026 Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset CVPR 2026 Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning ACL 2026 Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes CVPR 2026 Scaling Zero-Shot Reference-to-Video Generation CVPR 2026 SCAPO: Self-Supervised Category-Level Articulated Pose Estimation from a Single 3D Observation CVPR 2026 Scene-Centric Unsupervised Video Panoptic Segmentation CVPR 2026 schmerle at SemEval-2026 Task 4: Exploring Large Language Model Prompting Strategies for Low-Resource Narrative Similarity Detection SemEval 2026 SCIEval: Evaluating and Benchmarking the Faithfulness of Scientific Image Generation and Interpretation with Large Multimodal Models CVPR 2026 Scmhl5 at SemEval-2026 Task 3: Uncertainty-Aware Adversarial Learning for Embedding Enhancement in Dimensional Aspect-Based Sentiment Analysis SemEval 2026 ScoliGaitX: A Deep Multi-Modal Fusion Network for Scoliosis Assessment via Gait Video Analysis WACV 2026 Score2Instruct: Scaling Up Video Quality-Centric Instructions via Automated Dimension Scoring CVPR 2026 Score-Regularized Joint Sampling with Importance Weights for Flow Matching UAI 2026 SCUMesclab at SemEval-2026 Task 3: An Adaptive Dual-Track Framework for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 SCUZANE at SemEval-2026 Task 3: Dimensional Aspect-based Sentiment Analysis with Supervised Contrastive Regression and R-Drop Regularization SemEval 2026 SDDF: Specificity-Driven Dynamic Focusing for Open-Vocabulary Camouflaged Object Detection CVPR 2026 SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation CVPR 2026 SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness ACL 2026 SDUIE: Semi-Supervised Diffusion for Underwater Image Enhancement with Quant-Text Dual Control CVPR 2026 SEA-BED: How Do Embedding Models Represent Southeast Asian Languages? ACL 2026 Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026 SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning CVPR 2026 SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs ACL 2026