tinyML Submissions

Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware
Peter Blouw, Gurshaant Malik, Benjamin Morcos, Aaron Voelker, Chris Eliasmith
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
Ramyad Hadidi, jiashen Cao, Hyesoon Kim
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Research Symposium Blind Submission
- Readers: Everyone
Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers
Danilo Pau, Davide Denaro, Luigi Zambrano, Giulia Crocioni, Giambattista Gruosso, Giuseppe Di Giore
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
An Ultra-low Power RNN Classifier for Always-On Voice Wake- Up Detection Robust to Real-World Scenarios
Emmanuel Hardy, Franck Badets
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Poster
- Readers: Everyone
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms
Max Sponner, Bernd Waschneck, Akash Kumar
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Green Accelerated Hoeffding Tree
Eva Garcia-Martin, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Poster
- Readers: Everyone
Mini-NAS: A Neural Architecture Search Framework for Small Scale Image Classification Applications
Shahid Siddiqui, Christos Kyrkou, Theocharis Theocharides
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Research Symposium Blind Submission
- Readers: Everyone
Deep Learning for Compute in Memory
Matthias Reisser, Saurabh Pitre, Xiaochun Zhu, Harris Teague, Joseph Wang, Max Welling
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Poster
- Readers: Everyone
hls4ml: An Open-Source Co-Design Workflow to Empower Scientific Low-Power Machine Learning Devices
Farah Fahim, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo Jindariani, Nhan Tran, Luca Carloni, Giuseppe Di Guglielmo, Philip Harris, Jeffrey Krupa, Dylan Rankin, Manuel Blanco Valentin, Josiah Hester, Yingyi Luo, John Mamish, Seda Memik, Thea Aarrestad, Hamza Javed, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers, Javier Duarte, Scott Hauck, Shih-Chieh Hsu, Jennifer Ngadiuba, Mia Liu, Duc Hoang, Edward Kreinar, Zhenbin Wu
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Quantization-Guided Training for Compact TinyML Models
Sek M. Chai
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing
Andy Zhou, Rikky Muller, Jan Rabaey
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration
Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Poster
- Readers: Everyone
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
Toygun Basaklar, Yigit Tuncel, Shruti Yadav Narayana, Suat Gumussoy, Umit Y. Ogras
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Universal Cyclic Sparsely Connected Layers for Compact Convolutional Neural Network Design
Morteza Hosseini, Nitheesh Kumar Manjunath, Uttej Kallakuri, Vandana Chandrareddy, Tinoosh Mohsenin
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Research Symposium Blind Submission
- Readers: Everyone
A VM/Containerized Approach for Scaling TinyML Applications
Meelis Lootus, Kartik Thakore, Sam Leroux, Geert Trooskens, Akshay Sharma, Holly Ly
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Poster
- Readers: Everyone
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
Hamed Fatemi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Poster
- Readers: Everyone
Tiny RespNet: A Scalable Multimodal TinyCNN Processor for Automatic Detection of Respiratory Symptoms
Hasib-Al Rashid, Haoran Ren, Arnab Neelim Mazumder, Tinoosh Mohsenin
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Research Symposium Blind Submission
- Readers: Everyone
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss
Hyojin Park, Ganesh Venkatesh, Nojun Kwak
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Privacy-Preserving Inference on the Edge: Mitigating a New Threat Model
Kartik Prabhu, Brian Jun, Pan Hu, Zain Asgar, Sachin Katti, Pete Warden
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Poster
- Readers: Everyone
Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support
Guangyuan Hu, Zecheng He, Ruby B. Lee
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Resource Efficient Deep Reinforcement Learning for Acutely Constrained TinyML Devices
Filip Svoboda, David Nunes, Milad Alizadeh, Russel Daries, Rui Luo, Akhil Mathur, Sourav Bhattacharya, Jorge Sa Silva, Nicholas Donald Lane
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Poster
- Readers: Everyone
SWIS - Shared Weight bIt Sparsity for Efficient Neural Network Acceleration
Shurui Li, Wojciech Romaszkan, Alexander Graening, Puneet Gupta
- Dec 21, 2020 (edited Feb 26, 2021)
- tinyML 2021 Regular
- Readers: Everyone
Autonomous Machine Learning Workloads on Edge Devices: A Case Study
Jonathan Ezroni, Yaron Alpert
- Dec 22, 2020 (edited Feb 26, 2021)
- tinyML 2021 Research Symposium Blind Submission
- Readers: Everyone