Yin, Hongxu

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion

Yin, H., Molchanov, P., Alvarez, J. M., Li, Z., Mallya, A., Hoiem, D., Jha, N. K., & Kautz, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 540

A-ViT: Adaptive Tokens for Efficient Vision Transformer

Yin, H., Vahdat, A., Alvarez, J. M., Mallya, A., Kautz, J., & Molchanov, P. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 360

ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation

Dai, X., Zhang, P., Wu, B., Yin, H., Sun, F., Wang, Y., Dukhan, M., Hu, Y., Wu, Y., Jia, Y., et al. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 279

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

Dai, X., Yin, H., & Jha, N. K. (2019) · IEEE Transactions on Computers

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 233

DoRA: Weight-Decomposed Low-Rank Adaptation

Liu, S.-Y., Wang, C.-Y., Yin, H., Molchanov, P., Wang, Y.-C. F., Cheng, K.-T., & Chen, M.-H. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 74

Data-free Knowledge Distillation for Object Detection

Chawla, A., Yin, H., Molchanov, P., & Alvarez, J. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 70