Yash Bhalgat
Yash Bhalgat
Qualcomm AI Research
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Lsq+: Improving low-bit quantization through learnable offsets and better initialization
Y Bhalgat, J Lee, M Nagel, T Blankevoort, N Kwak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
262020
Qkd: Quantization-aware knowledge distillation
J Kim, Y Bhalgat, J Lee, C Patel, N Kwak
arXiv preprint arXiv:1911.12491, 2019
232019
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks
Y Bhalgat, M Shah, S Awate
Medical Imaging meets NeurIPS 2018 Workshop, 2018
152018
Learned threshold pruning
K Azarian, Y Bhalgat, J Lee, T Blankevoort
arXiv preprint arXiv:2003.00075, 2020
72020
Structured Convolutions for Efficient Neural Network Design
Y Bhalgat, Y Zhang, J Lin, F Porikli
Advances in Neural Information Processing Systems, 2020, 2020
22020
FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction
Y Bhalgat
arXiv preprint arXiv:1810.00136, 2018
22018
Catseyes: Categorizing Seismic Structures with Tessellated Scattering Wavelet Networks
Y Bhalgat, J Charlety, L Duval
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
22018
Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation
Y Bhalgat, Z Liu, P Gundecha, J Mahmud, A Misra
Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), 2019
12019
Stamp processing with examplar features
Y Bhalgat, M Kulkarni, S Karande, S Lodha
12th IAPR workshop on Document Analysis and Systems (DAS) 2016, 2016
12016
Semi-structured learned threshold pruning for deep neural networks
KA Yazdi, TPF Blankevoort, JW Lee, YS Bhalgat
US Patent App. 17/168,101, 2021
2021
Data-driven Weight Initialization with Sylvester Solvers
D Das, Y Bhalgat, F Porikli
Practical ML for Developing Countries Workshop, ICLR 2021, 2021
2021
Learned threshold pruning for deep neural networks
KA Yazdi, TPF Blankevoort, JW Lee, YS Bhalgat
US Patent App. 17/067,233, 2021
2021
Model training using a teacher-student learning paradigm
Z Liu, A Misra, P Gundecha, J Mahmud, Y Bhalgat
US Patent App. 16/451,693, 2020
2020
3rd place solution for NeurIPS 2019 MicroNet challenge: QualcommAI-EfficientNet
Y Bhalgat, J Lee, J Kim, K Azarian, HP Cheng, C Patel
https://github.com/yashbhalgat/QualcommAI-MicroNet-submission-EfficientNet, 2019
2019
LSQ+: Improving low-bit quantization through learnable offsets and better initialization Download PDF Open Website
Y Bhalgat, J Lee, M Nagel, T Blankevoort, N Kwak
Learned Threshold Pruning Download PDF Open Website
K Azarian, Y Bhalgat, J Lee, T Blankevoort
Supplementary Material:‘Structured Convolutions for Efficient Neural Network Design’
Y Bhalgat, Y Zhang, JM Lin, F Porikli
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