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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)

Sub-Interest-Aware Representation Uniformity for Recommender System AAAI 2025 Subjective Behaviors and Preferences in LLM: Language of Browsing EMNLP 2025 Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing ACL 2025 SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment ACL 2025 sudo rm -rf agentic_security ACL 2025 SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning ACL 2025 SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints AAAI 2025 Super-Class Guided Transformer for Zero-Shot Attribute Classification AAAI 2025 Super Deep Contrastive Information Bottleneck for Multi-modal Clustering ICML 2025 SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection for SLAM ICCV 2025 Superfluous Instruction: Vulnerabilities Stemming from Task-Specific Superficial Expressions in Instruction Templates ACL 2025 SuperRAG: Beyond RAG with Layout-Aware Graph Modeling NAACL 2025 Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching ICML 2025 Supervised Machine Learning based Amharic Text Complexity Classification Using Automatic Annotator Tool ACL 2025 Supervising Sound Localization by In-the-wild Egomotion CVPR 2025 Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation AAAI 2025 SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning EMNLP 2025 Surgical Flow Masked Autoencoder for Event Recognition MIDL 2025 SurgicalSemiSeg: A Semi-Supervised Framework for Laparoscopic Image Segmentation MIDL 2025 Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models ICML 2025 Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks AISTATS 2025 Survival Prediction in Lung Cancer through Multi-Modal Representation Learning WACV 2025 SUTrack: Towards Simple and Unified Single Object Tracking AAAI 2025 SUWMIT at BioLaySumm2025: Instruction-based Summarization with Contrastive Decoding ACL 2025 SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025