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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)

ARF-RLHF: Adaptive Reward-Following for RLHF through Emotion-Driven Self-Supervision and Trace-Biased Dynamic Optimization ACL 2026 ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning ACL 2026 ARMFlow: AutoRegressive MeanFlow for Online 3D Human Reaction Generation CVPR 2026 ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays WACV 2026 Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects CVPR 2026 ArtPro: Self-Supervised Articulated Object Reconstruction with Adaptive Integration of Mobility Proposals CVPR 2026 A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World CVPR 2026 ASC: Learning Augmentation Severity-Consistent Representations Improves Generalization via Augmentation Search WACV 2026 A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection CVPR 2026 A Sequence-Graph Fusion Framework via BiMamba and Fourier-KAN for Interpretable Drug-Target Affinity Prediction UAI 2026 asetclarity at SemEval-2026 Task 6: An Imbalance-Aware RoBERTa Cross-Encoder for Political Response Clarity Classification SemEval 2026 A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation MIDL 2026 Assignment-Driven Hash Learning in a Hyper-Semantic Space for On-the-Fly Category Discovery CVPR 2026 A Stitch in Time: Learning Procedural Workflow via Self-Supervised Plackett-Luce Ranking CVPR 2026 ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs ACL 2026 ASTraNet at SemEval-2026 Task 13: Not All Code Looks the Same: Multi-View Structural and Semantic Detection of Machine-Generated Code SemEval 2026 A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space CVPR 2026 A Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by Generative Physical Simulation CVPR 2026 AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localization CVPR 2026 A Temporal and Content Co-Awareness Latent Diffusion for Controllable Hand Image Generation CVPR 2026 ATGL: An Adaptive-Threshold Global Loss for Document-level Relation Extraction ACL 2026 A Training-Free Style-Personalization via SVD-Based Feature Decomposition CVPR 2026 Attack for Defense: Adversarial Agents for Point Prompt Optimization Empowering Segment Anything Model CVPR 2026 Attention-to-Survival: Multimodal Fracture Risk Prediction Based on Pelvic Radiographs and Clinical Data from the Study of Osteoporotic Fractures MIDL 2026 Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face Swapping CVPR 2026