Mohammad Ghasemzadeh

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All published works

Action	Title	Year	Authors
+ PDF Chat	Stacked 1D Convolutional Networks for End-to-End Small Footprint Voice Trigger Detection	2020	Takuya Higuchi Mohammad Ghasemzadeh Kisun You Chandra Dhir
+	Stacked 1D convolutional networks for end-to-end small footprint voice trigger detection	2020	Takuya Higuchi Mohammad Ghasemzadeh Kisun You Chandra Dhir
+ PDF Chat	ReBNet: Residual Binarized Neural Network	2018	Mohammad Ghasemzadeh Mohammad Samragh Farinaz Koushanfar
+	CausaLearn	2018	Bita Darvish Rouhani Mohammad Ghasemzadeh Farinaz Koushanfar
+	AgileNet: Lightweight Dictionary-based Few-shot Learning	2018	Mohammad Ghasemzadeh Fang Lin Bita Darvish Rouhani Farinaz Koushanfar Ke Huang
+	ResBinNet: Residual Binary Neural Network.	2017	Mohammad Ghasemzadeh Mohammad Samragh Farinaz Koushanfar
+	ReBNet: Residual Binarized Neural Network	2017	Mohammad Ghasemzadeh Mohammad Samragh Farinaz Koushanfar

Common Coauthors

Coauthor	Papers Together
Farinaz Koushanfar	5
Mohammad Samragh	3
Takuya Higuchi	2
Kisun You	2
Bita Darvish Rouhani	2
Chandra Dhir	2
Ke Huang	1
Fang Lin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Quantized Convolutional Neural Networks for Mobile Devices	2016	Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng	2
+	A Cascade Architecture for Keyword Spotting on Mobile Devices	2017	Alexander Gruenstein Raziel Álvarez Chris Thornton Mohammadali Ghodrat	2
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	2
+ PDF Chat	Efficient and accurate approximations of nonlinear convolutional networks	2015	Xiangyu Zhang Jianhua Zou Ming Xiang Kaiming He Jian Sun	2
+ PDF Chat	Streaming small-footprint keyword spotting using sequence-to-sequence models	2017	Yanzhang He Rohit Prabhavalkar Kanishka Rao Wei Li Anton Bakhtin Ian McGraw	2
+	Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications	2015	Yong‐Deok Kim Eunhyeok Park Sungjoo Yoo Tae‐Lim Choi Yang Lu Dongjun Shin	2
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	2
+	Stochastic Gradient Hamiltonian Monte Carlo	2014	Tianqi Chen Emily B. Fox Carlos Guestrin	1
+	Asymptotically Exact, Embarrassingly Parallel MCMC	2013	Willie Neiswanger Chong Wang Eric P. Xing	1
+	Bayesian Learning via Stochastic Gradient Langevin Dynamics	2011	Max Welling Yee Whye Teh	1
+ PDF Chat	Fast Hamiltonian Monte Carlo Using GPU Computing	2015	Andrew L. Beam Sujit K. Ghosh Jon Doyle	1
+	An exact MCMC accelerator under custom precision regimes	2015	Shuanglong Liu Grigorios Mingas Christos-Savvas Bouganis	1
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	1
+	Population-Based MCMC on Multi-Core CPUs, GPUs and FPGAs	2015	Grigorios Mingas Christos-Savvas Bouganis	1
+	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	1
+	Firefly Monte Carlo: exact MCMC with subsets of data	2014	Dougal Maclaurin Ryan P. Adams	1
+	Towards a Neural Statistician	2016	Harrison Edwards Amos Storkey	1
+	Column subset selection, matrix factorization, and eigenvalue optimization	2009	Joel A. Tropp	1
+	Matching Networks for One Shot Learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	1
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	1
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	1
+	Edward: A library for probabilistic modeling, inference, and criticism	2016	Dustin Tran Alp Kucukelbir Adji B. Dieng Maja Rudolph Dawen Liang David M. Blei	1
+ PDF Chat	An Unbiased MCMC FPGA-Based Accelerator in the Land of Custom Precision Arithmetic	2016	Shuanglong Liu Grigorios Mingas Christos-Savvas Bouganis	1
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	1
+	Generative Adversarial Residual Pairwise Networks for One Shot Learning	2017	Akshay Mehrotra Ambedkar Dukkipati	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+	Ternary Neural Networks with Fine-Grained Quantization	2017	Naveen Mellempudi Abhisek Kundu Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey	1
+ PDF Chat	DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices	2018	Dawei Li Xiaolong Wang Deguang Kong	1
+	Few-Shot Learning with Graph Neural Networks	2017	Víctor García Joan Bruna	1
+	A Simple Neural Attentive Meta-Learner	2017	Nikhil Mishra Mostafa Rohaninejad Xi Chen Pieter Abbeel	1
+ PDF Chat	Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting	2017	Sercan Ö. Arık Markus Kliegl Rewon Child Joel Hestness Andrew Gibiansky Chris Fougner Ryan Prenger Adam Coates	1
+ PDF Chat	Low-Shot Visual Recognition by Shrinking and Hallucinating Features	2017	Bharath Hariharan Ross Girshick	1
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	1
+ PDF Chat	Ternary neural networks for resource-efficient AI applications	2017	Hande Alemdar Vincent Leroy Adrien Prost-Boucle Frédéric Pétrot	1
+ PDF Chat	Evolutionary stochastic search for Bayesian model exploration	2010	Leonardo Bottolo Sylvia Richardson	1
+ PDF Chat	End-to-end Streaming Keyword Spotting	2019	Raziel Álvarez Hyunjin Park	1
+ PDF Chat	A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA	2018	Mahdi Nazemi Amir Erfan Eshratifar Massoud Pedram	1
+ PDF Chat	Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression	2017	Aymeric Dieuleveut Nicolas Flammarion Francis Bach	1
+	Meta Networks	2017	Tsendsuren Munkhdalai Hong Yu	1
+ PDF Chat	FINN	2017	Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers	1
+	Ternary Neural Networks with Fine-Grained Quantization	2017	Naveen Mellempudi Abhisek Kundu Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey	1
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	1
+	GPflow: A Gaussian process library using TensorFlow	2016	Alexander Matthews Mark van der Wilk Tom Nickson Keisuke Fujii Alexis Boukouvalas Pablo León-Villagrá Zoubin Ghahramani James Hensman	1
+	End-to-End Streaming Keyword Spotting	2018	Raziel Álvarez Park HyunJin	1
+	A Complete Recipe for Stochastic Gradient MCMC	2015	Yi-An Ma Tianqi Chen Emily B. Fox	1
+ PDF Chat	Handbook of Markov Chain Monte Carlo	2011	Steve Brooks Andrew Gelman Galin L. Jones Xiao‐Li Meng	1
+ PDF Chat	Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach	2014	Rémi Bardenet Arnaud Doucet Chris Holmes	1
+ PDF Chat	MCMC using Hamiltonian dynamics	2012	Radford M. Neal	1
+	Parallel Implementation of Particle MCMC Methods on a GPU	2012	Soren Henriksen Adrian Wills Thomas B. Schön Brett Ninness	1
+ PDF Chat	Parallel multivariate slice sampling	2010	M. Tibbits Murali Haran John Liechty	1