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Methodology
← Learning Types
Deep Learning
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Transfer Learning
2362 directly classified papers
Papers per year
2008: 1
2011: 1
2013: 6
2014: 4
2015: 11
2016: 21
2017: 48
2018: 83
2019: 184
2020: 296
2021: 309
2022: 356
2023: 320
2024: 366
2025: 348
2026: 8
Papers
LLM Performance Predictors are good initializers for Architecture Search
ACL 2024
Knowledge Fusion By Evolving Weights of Language Models
ACL 2024
Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction
WACV 2024
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
NIPS 2024
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs
CVPR 2024
Efficient Test-Time Adaptation of Vision-Language Models
CVPR 2024
AlignNet: Learning dataset score alignment functions to enable better training of speech quality estimators
INTERSPEECH 2024
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
CVPR 2024
Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures
INTERSPEECH 2024
Scaling Laws of Synthetic Images for Model Training ... for Now
CVPR 2024
Debiasing Large Language Models with Structured Knowledge
ACL 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
CVPR 2024
Pre-training Differentially Private Models with Limited Public Data
NIPS 2024
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features
ACL 2024
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
ACL 2024
Efficiency for Free: Ideal Data Are Transportable Representations
NIPS 2024
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
NIPS 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
NIPS 2024
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
NIPS 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NIPS 2024
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
NIPS 2024
Prompt-Driven Referring Image Segmentation with Instance Contrasting
CVPR 2024
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
NIPS 2024
LC4EE: LLMs as Good Corrector for Event Extraction
ACL 2024
Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
CVPR 2024
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