Yash Bhalgat
Yash Bhalgat
Qualcomm AI Research
umich.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
72018
Qkd: Quantization-aware knowledge distillation
J Kim, Y Bhalgat, J Lee, C Patel, N Kwak
arXiv preprint arXiv:1911.12491, 2019
62019
Learned Threshold Pruning
K Azarian, Y Bhalgat, J Lee, T Blankevoort
arXiv preprint arXiv:2003.00075, 2020
42020
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
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Y Bhalgat, J Lee, M Nagel, T Blankevoort, N Kwak
Joint Workshop on Efficient Deep Learning in Computer Vision, CVPR 2020, 2020
12020
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
Structured Convolutions for Efficient Neural Network Design
Y Bhalgat, Y Zhang, J Lin, F Porikli
NeurIPS, 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
Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation
Y Bhalgat, Z Liu, P Gundecha, J Mahmud, A Misra
arXiv preprint arXiv:1909.11233, 2019
2019
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–10