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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)

scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation ACL 2025 Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels IJCAI 2025 ScreenMark: Watermarking Arbitrary Visual Content on Screen AAAI 2025 SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling EMNLP 2025 SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection AAAI 2025 SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models CVPR 2025 SDD: Self-Degraded Defense against Malicious Fine-tuning ACL 2025 SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models EMNLP 2025 sDPO: Don’t Use Your Data All at Once COLING 2025 SDPO: Segment-Level Direct Preference Optimization for Social Agents ACL 2025 SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation ACL 2025 SEAL: Scaling to Emphasize Attention for Long-Context Retrieval ACL 2025 SEAL: Semantic Attention Learning for Long Video Representation CVPR 2025 SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval EMNLP 2025 SEAL: Systematic Error Analysis for Value ALignment AAAI 2025 Seamlessly Integrating Tree-Based Positional Embeddings into Transformer Models for Source Code Representation ACL 2025 SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models EMNLP 2025 SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning ICCV 2025 SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs EMNLP 2025 SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks CVPR 2025 SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding ICML 2025 SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning CVPR 2025 Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis CVPR 2025 SEE: Continual Fine-tuning with Sequential Ensemble of Experts ACL 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning ICML 2025