conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

'10

'15

'20

'25

Papers (including subtopics)

Unified Medical Lesion Segmentation via Self-referring Indicator CVPR 2025 UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model NAACL 2025 UniFORM: Towards Unified Framework for Anomaly Detection on Graphs AAAI 2025 UniGEM: A Unified Approach to Generation and Property Prediction for Molecules ICLR 2025 UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery ICLR 2025 UnityAI Guard: Pioneering Toxicity Detection Across Low-Resource Indian Languages EMNLP 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025 UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing ICCV 2025 Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition ICCV 2025 Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter CVPR 2025 Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch ACL 2025 Unleashing Potentials of Vision-Language Models for Zero-Shot HOI Detection WACV 2025 Unleashing the Potential of Model Bias for Generalized Category Discovery AAAI 2025 Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment ICLR 2025 Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning NAACL 2025 Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning AAAI 2025 Unlocking the Potential of Model Calibration in Federated Learning ICLR 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025 Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees UAI 2025 Unsupervised Domain Adaptive Visual Question Answering in the Era of Multi-Modal Large Language Models WACV 2025 Unsupervised Meta-Learning via In-Context Learning ICLR 2025 Unsupervised Translation of Emergent Communication AAAI 2025 Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation ICLR 2025 Unveiling the Influence of Amplifying Language-Specific Neurons IJCNLP 2025 UOREX: Towards Uncertainty-Aware Open Relation Extraction NAACL 2025