| 4 | -- | 6 | Lizy Kurian John. TinyML but by No Means a Tiny Feat! |
| 7 | -- | 10 | Vijay Janapa Reddi, Boris Murmann. Special Issue on TinyML |
| 11 | -- | 18 | Marius Brehler, Lucas Camphausen, Benjamin Heidebroek, Dennis Krön, Henri Gründer, Simon Camphausen. Making Machine Learning More Energy Efficient by Bringing It Closer to the Sensor |
| 19 | -- | 27 | Atsutake Kosuge, Yao-Chung Hsu, Rei Sumikawa, Mototsugu Hamada, Tadahiro Kuroda, Tomoe Ishikawa. A 10.7-µJ/Frame 88% Accuracy CIFAR-10 Single-Chip Neuromorphic Field-Programmable Gate Array Processor Featuring Various Nonlinear Functions of Dendrites in the Human Cerebrum |
| 29 | -- | 39 | Mozhgan Navardi, Edward Humes, Tejaswini Manjunath, Tinoosh Mohsenin. MetaE2RL: Toward Meta-Reasoning for Energy-Efficient Multigoal Reinforcement Learning With Squeezed-Edge You Only Look Once |
| 40 | -- | 49 | Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri. Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications |
| 50 | -- | 57 | Manuele Rusci, Tinne Tuytelaars. On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples |
| 58 | -- | 65 | Eduardo S. Pereira, Leonardo S. Marcondes, Josemar M. Silva. On-Device Tiny Machine Learning for Anomaly Detection Based on the Extreme Values Theory |
| 66 | -- | 73 | Kazuki Sunaga, Masaaki Kondo, Hiroki Matsutani. Addressing the Gap Between Training Data and Deployed Environment by On-Device Learning |
| 74 | -- | 83 | Arnab Neelim Mazumder, Tinoosh Mohsenin. Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms |
| 84 | -- | 92 | Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin. NetDistiller: Empowering Tiny Deep Learning via In Situ Distillation |
| 93 | -- | 101 | Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov. Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications |
| 103 | -- | 108 | Joshua J. Yi. Analysis of Historical Patenting Behavior and Patent Characteristics of Computer Architecture Companies - Part VII: Relationship Between Prosecution Time and Claims |
| 109 | -- | 124 | Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson 0001, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah. Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective |
| 126 | -- | 128 | Shane Greenstein. The AI Gold Rush |