tinyML 2021 Research Symposium Submissions

Autonomous Machine Learning Workloads on Edge Devices: A Case Study
Jonathan Ezroni, Yaron Alpert
- 22 Dec 2020 (modified: 05 May 2023)
- tinyML 2021 Research Symposium Blind Submission
- Readers: Everyone
SWIS - Shared Weight bIt Sparsity for Efficient Neural Network Acceleration
Shurui Li, Wojciech Romaszkan, Alexander Graening, Puneet Gupta
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- 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
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Poster
- Readers: Everyone
Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support
Guangyuan Hu, Zecheng He, Ruby B. Lee
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- 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
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Poster
- Readers: Everyone
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss
Hyojin Park, Ganesh Venkatesh, Nojun Kwak
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Regular
- Readers: Everyone
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
Hamed Fatemi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Poster
- Readers: Everyone
A VM/Containerized Approach for Scaling TinyML Applications
Meelis Lootus, Kartik Thakore, Sam Leroux, Geert Trooskens, Akshay Sharma, Holly Ly
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- 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
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- 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
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Poster
- Readers: Everyone
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing
Andy Zhou, Rikky Muller, Jan Rabaey
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Regular
- Readers: Everyone
Quantization-Guided Training for Compact TinyML Models
Sek M. Chai
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Regular
- 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 et al. (10 additional authors not shown)
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Regular
- Readers: Everyone
Deep Learning for Compute in Memory
Matthias Reisser, Saurabh Pitre, Xiaochun Zhu, Harris Teague, Joseph Wang, Max Welling
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Poster
- Readers: Everyone
Mini-NAS: A Neural Architecture Search Framework for Small Scale Image Classification Applications
Shahid Siddiqui, Christos Kyrkou, Theocharis Theocharides
- 21 Dec 2020 (modified: 05 May 2023)
- tinyML 2021 Research Symposium Blind Submission
- Readers: Everyone
Green Accelerated Hoeffding Tree
Eva Garcia-Martin, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Poster
- Readers: Everyone
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms
Max Sponner, Bernd Waschneck, Akash Kumar
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- 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
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Poster
- 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
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Regular
- Readers: Everyone
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
Ramyad Hadidi, jiashen Cao, Hyesoon Kim
- 21 Dec 2020 (modified: 05 May 2023)
- tinyML 2021 Research Symposium Blind Submission
- Readers: Everyone
Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware
Peter Blouw, Gurshaant Malik, Benjamin Morcos, Aaron Voelker, Chris Eliasmith
- Published: 07 Feb 2021, Last Modified: 05 May 2023
- tinyML 2021 Regular
- Readers: Everyone