Shreyas Kolala Venkataramanaiah

Generating author description...

All published works

Action	Title	Year	Authors
+	A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity	2023	Shreyas Kolala Venkataramanaiah Jian Meng Han-Sok Suh Injune Yeo Jyotishman Saikia Sai Kiran Cherupally Yichi Zhang Zhiru Zhang Jae-sun Seo
+	A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification	2022	Shreyas Kolala Venkataramanaiah Jian Meng Han-Sok Suh Injune Yeo Jyotishman Saikia Sai Kiran Cherupally Yichi Zhang Zhiru Zhang Jae-sun Seo
+ PDF Chat	Automatic Compiler Based FPGA Accelerator for CNN Training	2019	Shreyas Kolala Venkataramanaiah Yufei Ma Shihui Yin Eriko Nurvithadhi Aravind Dasu Yu Cao Jae-sun Seo
+	FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning.	2019	Paul N. Whatmough Chuteng Zhou Patrick Hansen Shreyas Kolala Venkataramanaiah Jae-sun Seo Matthew Mattina
+	Automatic Compiler Based FPGA Accelerator for CNN Training	2019	Shreyas Kolala Venkataramanaiah Yufei Ma Shihui Yin Eriko Nurvithadhi Aravind Dasu Yu Cao Jae-sun Seo
+	FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning	2019	Paul N. Whatmough Chuteng Zhou Patrick Hansen Shreyas Kolala Venkataramanaiah Jae-sun Seo Matthew Mattina
+	Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression	2018	Shihui Yin Gaurav Srivastava Shreyas Kolala Venkataramanaiah Chaitali Chakrabarti Visar Berisha Jae-sun Seo
+ PDF Chat	Minimizing area and energy of deep learning hardware design using collective low precision and structured compression	2017	Shihui Yin Gaurav Srivastava Shreyas Kolala Venkataramanaiah Chaitali Chakrabarti Visar Berisha Jae-sun Seo
+ PDF Chat	Algorithm and hardware design of discrete-time spiking neural networks based on back propagation with binary activations	2017	Shihui Yin Shreyas Kolala Venkataramanaiah Gregory K. Chen Ram Krishnamurthy Yu Cao Chaitali Chakrabarti Jae-sun Seo
+	Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations	2017	Shihui Yin Shreyas Kolala Venkataramanaiah Gregory K. Chen Ram Krishnamurthy Yu Cao Chaitali Chakrabarti Jae-sun Seo

Common Coauthors

Coauthor	Papers Together
Jae-sun Seo	10
Shihui Yin	6
Chaitali Chakrabarti	4
Yu Cao	4
Visar Berisha	2
Zhiru Zhang	2
Chuteng Zhou	2
Injune Yeo	2
Jian Meng	2
Eriko Nurvithadhi	2
Han-Sok Suh	2
Yufei Ma	2
Ram Krishnamurthy	2
Matthew Mattina	2
Yichi Zhang	2
Gaurav Srivastava	2
Paul N. Whatmough	2
Jyotishman Saikia	2
Aravind Dasu	2
Sai Kiran Cherupally	2
Gregory K. Chen	2
Patrick Hansen	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	3
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Training Spiking Deep Networks for Neuromorphic Hardware	2016	Eric Hunsberger Chris Eliasmith	2
+	Channel Gating Neural Networks	2018	Weizhe Hua Yuan Zhou Christopher De Zhiru Zhang G. Edward Suh	2
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	2
+	Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks	2016	Bodo Rueckauer Iulia-Alexandra Lungu Yuhuang Hu Michael Pfeiffer	2
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	2
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	2
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	2
+ PDF Chat	Training Deep Spiking Neural Networks Using Backpropagation	2016	Jun Haeng Lee Tobi Delbrück Michael Pfeiffer	2
+ PDF Chat	Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades	2015	Garrick Orchard Ajinkya Jayawant Gregory Cohen Nitish V. Thakor	2
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Revisiting Small Batch Training for Deep Neural Networks	2018	Dominic Masters Carlo Luschi	1
+	SNIP: Single-shot Network Pruning based on Connection Sensitivity	2018	Namhoon Lee Thalaiyasingam Ajanthan Philip H. S. Torr	1
+	Dynamic Channel Pruning: Feature Boosting and Suppression	2018	Xitong Gao Yiren Zhao Łukasz Dudziak Robert Mullins Cheng‐Zhong Xu	1
+	SCALE-Sim: Systolic CNN Accelerator.	2018	Ananda Samajdar Yuhao Zhu Paul N. Whatmough Matthew Mattina Tushar Krishna	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	The Microsoft 2016 Conversational Speech Recognition System	2016	Wayne Xiong Jasha Droppo Xuedong Huang Frank Seide Michael L. Seltzer Andreas Stolcke Dong Yu Geoffrey Zweig	1
+	Training Deep Neural Networks with 8-bit Floating Point Numbers	2018	Naigang Wang Jungwook Choi Daniël Brand Chia‐Yu Chen Kailash Gopalakrishnan	1
+	Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks	2017	Urs Köster Tristan J. Webb Xin Wang Marcel Nassar Arjun K. Bansal William Constable Oğuz H. Elibol Scott Gray Stewart Hall Luke Hornof	1
+ PDF Chat	Efficient Parametrization of Multi-domain Deep Neural Networks	2018	Sylvestre-Alvise Rebuffi Andrea Vedaldi Hakan Bilen	1
+	Pruning Filters for Efficient ConvNets	2016	Hao Li Asim Kadav Igor Đurđanović Hanan Samet Hans Peter Graf	1
+ PDF Chat	Supervised Learning Based on Temporal Coding in Spiking Neural Networks	2017	Hesham Mostafa	1
+ PDF Chat	EVA²: Exploiting Temporal Redundancy in Live Computer Vision	2018	Mark Buckler Philip Bedoukian Suren Jayasuriya Adrian Sampson	1
+ PDF Chat	Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks	2016	Ying Zhang Mohammad Pezeshki Philémon Brakel Saizheng Zhang César Laurent Yoshua Bengio Aaron Courville	1
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	1
+ PDF Chat	Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision	2018	Yuhao Zhu Anand Samajdar Matthew Mattina Paul N. Whatmough	1
+	Training Spiking Deep Networks for Neuromorphic Hardware	2016	Eric Hunsberger Chris Eliasmith	1
+ PDF Chat	A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets	2016	Bert Moons Marian Verhelst	1
+	Fix your classifier: the marginal value of training the last weight layer	2018	Elad Hoffer Itay Hubara Daniel Soudry	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels	2016	Huaijin Chen Suren Jayasuriya Jiyue Yang Judy Stephen S. Sivaramakrishnan Ashok Veeraraghavan Alyosha Molnar	1
+	Batch-Shaping for Learning Conditional Channel Gated Networks	2019	Babak Ehteshami Bejnordi Tijmen Blankevoort Max Welling	1
+	E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings	2019	Yue Wang Ziyu Jiang Xiaohan Chen Pengfei Xu Yang Zhao Yingyan Lin Zhangyang Wang	1
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	1
+ PDF Chat	Synetgy	2019	Yifan Yang Qijing Huang Bichen Wu Tianjun Zhang Liang Ma Giulio Gambardella Michaela Blott Luciano Lavagno Kees Vissers John Wawrzynek	1
+ PDF Chat	FINN	2017	Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers	1
+ PDF Chat	C <scp>ir</scp> CNN	2017	Caiwen Ding Siyu Liao Yanzhi Wang Zhe Li Ning Liu Youwei Zhuo Chao Wang Xuehai Qian Yu Bai Geng Yuan	1
+ PDF Chat	Dynamic Group Convolution for Accelerating Convolutional Neural Networks	2020	Zhuo Su Linpu Fang Wenxiong Kang Dewen Hu Matti Pietikäinen Li Liu	1
+ PDF Chat	Deep Neural Network Approximation for Custom Hardware	2020	Erwei Wang James J. Davis Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk Peter Y. K. Cheung George A. Constantinides	1
+	Sparse Training via Boosting Pruning Plasticity with Neuroregeneration	2021	Shiwei Liu Tianlong Chen Xiaohan Chen Zahra Atashgahi Lu Yin Huanyu Kou Li Shen Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu	1
+	Sparse Weight Activation Training	2020	Md Aamir Raihan Tor M. Aamodt	1
+ PDF Chat	Deep Neural Network Approximation for Custom Hardware	2019	Erwei Wang James J. Davis Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk Peter Y. K. Cheung George A. Constantinides	1
+	Binarized Neural Networks	2016	Itay Hubara Daniel Soudry Ran El Yaniv	1
+	Revisiting Small Batch Training for Deep Neural Networks	2018	Dominic Masters Carlo Luschi	1
+	A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification	2022	Shreyas Kolala Venkataramanaiah Jian Meng Han-Sok Suh Injune Yeo Jyotishman Saikia Sai Kiran Cherupally Yichi Zhang Zhiru Zhang Jae-sun Seo	1