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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)

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection CVPR 2026 SFR-Net: Steering-Fusion-Refining Network in Multi-label Zero-Shot Sewer Defect Detection CVPR 2026 SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe ACL 2026 SGDE: Self-supervised Geometry Degradation Estimation Framework for Coded Aperture Compressive Spectral Imaging CVPR 2026 SGPVT: Self-Generated Proximal Visual Tokens for Mitigating Proximal Collateral Damage in MLLM Unlearning ACL 2026 SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals CVPR 2026 SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger ACL 2026 SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection SemEval 2026 Shanks: Simultaneous Hearing and Thinking for Spoken Language Models ACL 2026 SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning ACL 2026 SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation CVPR 2026 ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation CVPR 2026 Shoe Style-Invariant and Ground-Aware Learning for Dense Foot Contact Estimation CVPR 2026 ShotDirector: Directorially Controllable Multi-Shot Video Generation with Cinematographic Transitions CVPR 2026 ShreddingNet: Coarse-to-Fine Restoration for Multi-Source Shredded Manuscripts CVPR 2026 SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models CVPR 2026 SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images CVPR 2026 Simple-ViLMedSAM: Simple Text Prompts Meet Vision-Language Models for Medical Image Segmentation CVPR 2026 Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification MIDL 2026 SimScale: Learning to Drive via Real-World Simulation at Scale CVPR 2026 SIMSPINE: A Biomechanics-Aware Simulation Framework for 3D Spine Motion Annotation and Benchmarking CVPR 2026 SineProject: Machine Unlearning for Stable Vision-Language Alignment CVPR 2026 SinGeo: Unlock Single Model's Potential for Robust Cross-View Geo-Localization CVPR 2026 Single-Round Scalable Analytic Federated Learning CVPR 2026 Situated Embedding Models for Context-Aware Dense Retrieval ACL 2026