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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)

RPI Team at SemEval-2026 Task 3: An LLM-Encoder Ensemble for Coarse-to-Fine Valence-Arousal Sentiment Prediction SemEval 2026 rPPG-VQA: A Video Quality Assessment Framework for Unsupervised rPPG Training CVPR 2026 RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity ACL 2026 RS-SSM: Refining Forgotten Specifics in State Space Model for Video Semantic Segmentation CVPR 2026 Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers ACL 2026 S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain CVPR 2026 SADA: Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters ACL 2026 Safe-FedLLM: Delving into the Safety of Federated Large Language Models ACL 2026 SafeLogo: Turning Your Logos into Jailbreak Shields via Micro-Regional Adversarial Training CVPR 2026 Sagarmatha at SemEval-2026 Task 9: Heterogeneous Ensembling and Hierarchical Task Conditioning for Multilingual Latent Distributional Divergence Modeling SemEval 2026 SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation ACL 2026 SAGE: Style-Adaptive Generalization for Privacy-Constrained Semantic Segmentation Across Domains CVPR 2026 SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning CVPR 2026 SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning CVPR 2026 SAJA: A Simple Approach to Judge Alignment for LLM-as-a-Judge ACL 2026 Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning CVPR 2026 Same Benchmark, Same Subspace: Task-Selective Convergence in LLM Representations UAI 2026 SAMIX: Reinforcing SAM2 with Semantic Adapter and Reference Selecting Policy for Mix-Supervised Segmentation CVPR 2026 SAMTok: Representing Any Mask with Two Words CVPR 2026 SANER: Switchable Adapter with Non-parametric Enhanced Routing for Person De-Reidentification CVPR 2026 SAR2Net: Learning Spatially Anchored Representations for Retrieval-Guided Cross-Stain Alignment CVPR 2026 SAT-RRG: LLM-Guided Self-Adaptive Training for Radiology Report Generation with Token-Level Push-Pull Optimization CVPR 2026 Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction CVPR 2026 Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction L4DC 2026 Scalable Multi-View Subspace Clustering with Tensorized Anchor Guidance CVPR 2026