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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
Rethinking Imbalance in Image Super-Resolution for Efficient Inference
NIPS 2024
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
AAAI 2024
AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System
AAAI 2024
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
AAAI 2024
Analyzing the Domain Shift Immunity of Deep Homography Estimation
WACV 2024
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
AAAI 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding
AAAI 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
AAAI 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 2024
Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification
WACV 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
CVPR 2024
The Impact of Language Adapters in Cross-Lingual Transfer for NLU
EACL 2024
Segment and Caption Anything
CVPR 2024
VkD: Improving Knowledge Distillation using Orthogonal Projections
CVPR 2024
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models
AAAI 2024
GLID: Pre-training a Generalist Encoder-Decoder Vision Model
CVPR 2024
ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
CVPR 2024
Open-Vocabulary Segmentation with Semantic-Assisted Calibration
CVPR 2024
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
CVPR 2024
Boosting Image Restoration via Priors from Pre-trained Models
CVPR 2024
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
CVPR 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning
CVPR 2024
Stochastic Binary Network for Universal Domain Adaptation
WACV 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
CVPR 2024
Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation
CVPR 2024
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