Matthew Mattina
- Federated Learning Based on Dynamic Regularization
2021/11/08 by Durmus Alp Emre Acar, Yue Zhao, Acar, Durmus Alp Emre +8 · 56 citations
Computer Science · #Distributed #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
2019/05/28 by Igor Fedorov, Ryan P. Adams, Fedorov, Igor +5 · 1 voice · 2 citations
Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Video Surveillance and Tracking Methods #cs.CV #cs.LG
- S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration
2021/07/16 by Zhigang Liu, Liu, Zhi-Gang, Paul N. Whatmough +5 · 7 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Energy Harvesting in Wireless Networks #Machine Learning and ELM
- Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision
2018/03/29 by Yuhao Zhu, Zhu, Yuhao, Anand Samajdar +5 · 3 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Vision and Imaging #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Towards Efficient Point Cloud Graph Neural Networks Through\n Architectural Simplification
2021/08/13 by Shyam A. Tailor, Tailor, Shyam A., René de Jong +7 · 3 citations
Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer\n Learning
2019/02/26 by Paul N. Whatmough, Whatmough, Paul N., Chuteng Zhou +9 · 4 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
2021/02/22 by Martin Ferianc, Partha Maji, Ferianc, Martin +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Gaussian Processes and Bayesian Inference
- Learning low-precision neural networks without Straight-Through Estimator(STE)
2019/03/04 by Zhigang Liu, Matthew Mattina, Liu, Zhi-Gang +1 · 1 citation
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands
2020/08/03 by Dibakar Gope, Gope, Dibakar, Jesse Beu +3 · 1 citation
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Interconnection Networks and Systems #Low-power high-performance VLSI design #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)
- Design Principles for Lifelong Learning AI Accelerators
2023/10/05 by Dhireesha Kudithipudi, Anurag Daram, Kudithipudi, Dhireesha +21 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering