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)

Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance ICCV 2025 Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation ACL 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer ICML 2025 Towards Automated Knowledge Integration From Human-Interpretable Representations ICLR 2025 Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion Interspeech 2025 Towards Classification of Typical and Atypical Disfluencies: A Self Supervised Representation Approach Interspeech 2025 Towards Continual Universal Segmentation CVPR 2025 Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning COLING 2025 Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning ICCV 2025 Towards Efficient and Robust VQA-NLE Data Generation with Large Vision-Language Models COLING 2025 Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales EMNLP 2025 Towards Faster Decentralized Stochastic Optimization with Communication Compression ICLR 2025 Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians ICLR 2025 Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity NAACL 2025 Towards Federated RLHF with Aggregated Client Preference for LLMs ICLR 2025 Towards Few-Shot Training-Free Anomaly Sound Detection Interspeech 2025 Towards Generalizable Scene Change Detection CVPR 2025 Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting CVPR 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025 Towards In-the-wild 3D Plane Reconstruction from a Single Image CVPR 2025 Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback EMNLP 2025 Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems ACL 2025 Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model CVPR 2025 Towards Performance Consistency in Multi-Level Model Collaboration ICCV 2025 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025