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

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'25

Papers (including subtopics)

twinhter at LeWiDi-2025: Integrating Annotator Perspectives into BERT for Learning with Disagreements EMNLP 2025 TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning ICCV 2025 Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels AAAI 2025 Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models EMNLP 2025 Typology-Guided Adaptation in Multilingual Models ACL 2025 UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain Retrieval WACV 2025 uDistil-Whisper: Label-Free Data Filtering for Knowledge Distillation in Low-Data Regimes NAACL 2025 UI-E2I-Synth: Advancing GUI Grounding with Large-Scale Instruction Synthesis ACL 2025 Uncertain Multimodal Intention and Emotion Understanding in the Wild CVPR 2025 Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology WACV 2025 UncleLM at SemEval-2025 Task 11: RAG-Based Few-Shot Learning and Fine-Tuned Encoders for Multilingual Emotion Detection SemEval 2025 Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion WACV 2025 UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER EMNLP 2025 Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling ACL 2025 Understanding Impact of Human Feedback via Influence Functions ACL 2025 Understanding Model Ensemble in Transferable Adversarial Attack ICML 2025 Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods ICML 2025 Understanding the Stability-based Generalization of Personalized Federated Learning ICLR 2025 Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld’s Episode Theory EMNLP 2025 UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning CVPR 2025 UNIALIGN: Scaling Multimodal Alignment within One Unified Model CVPR 2025 UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery CVPR 2025 UniDrive: Towards Universal Driving Perception Across Camera Configurations ICLR 2025 Unified Framework for Open-World Compositional Zero-Shot Learning WACV 2025 Unified Graph Neural Networks Pre-training for Multi-domain Graphs AAAI 2025