Molchanov, Pavlo
Nvidia (United States)
8 papers on CoChat
Most cited papers
- Verified
Importance Estimation for Neural Network Pruning
Molchanov, P., Mallya, A., Tyree, S., Frosio, I., & Kautz, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsMachine Learning and Data Classification
Cited by 983
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
Small Language Models are the Future of Agentic AI
Belcak, P., Heinrich, G., Diao, S., Fu, Y., Dong, X., Muralidharan, S., Lin, Y. C., & Molchanov, P. (2025) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 18
- Verified
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Chen, Y., Xue, F., Li, D., Hu, Q., Zhu, L., Li, X., Fang, Y., Tang, H., Yang, S., Liu, Z., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 2
- Verified
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
NVIDIA, :, Blakeman, A., Basant, A., Khattar, A., Renduchintala, A., Bercovich, A., Ficek, A., Bjorlin, A., Taghibakhshi, A., et al. (2025) · arXiv
Advanced Neural Network ApplicationsTopic Modeling
Cited by 0
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