QCore: Data-Efficient, On-Device Continual Calibration for Quantized
Models -- Extended Version

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version

22 April 2024

Christian S. Jensen

Papers citing "QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version"

19 / 19 papers shown

Title
Data Driven Decision Making with Time Series and Spatio-temporal Data Bin Yang Yuxuan Liang Chenjuan Guo Christian S. Jensen AI4TS 294 1 0 11 Mar 2025
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data Hao Miao Yan Zhao Chenjuan Guo Bin Yang Kai Zheng Feiteng Huang Jiandong Xie Christian S. Jensen AI4TS CLL 67 35 0 23 Apr 2024
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version David Campos Miao Zhang B. Yang Tung Kieu Chenjuan Guo Christian S. Jensen AI4TS 78 48 0 24 Feb 2023
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version Tung Kieu B. Yang Chenjuan Guo Christian S. Jensen Yan Zhao Feiteng Huang Kai Zheng AI4TS 40 39 0 07 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 99 412 0 25 Mar 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 161 381 0 22 Mar 2022
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 67 159 0 17 Jun 2021
Network Quantization with Element-wise Gradient Scaling Junghyup Lee Dohyung Kim Bumsub Ham MQ 23 119 0 02 Apr 2021
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version Razvan-Gabriel Cirstea Chenjuan Guo B. Yang AI4TS 49 43 0 19 Mar 2021
TinyOL: TinyML with Online-Learning on Microcontrollers Haoyu Ren Darko Anicic Thomas Runkler 41 127 0 15 Mar 2021
Benchmarking Multivariate Time Series Classification Algorithms Alejandro Pasos Ruiz Michael Flynn A. Bagnall AI4TS 47 366 0 26 Jul 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 60 231 0 06 Jun 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 42 571 0 22 Apr 2020
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 100 723 0 12 Dec 2018
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 170 1,438 0 02 Dec 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent Trevor Campbell Tamara Broderick 59 137 0 05 Feb 2018
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 207 8,793 0 01 Oct 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.0K 99,991 0 04 Sep 2014
A Unified Framework for Approximating and Clustering Data Dan Feldman M. Langberg 126 457 0 07 Jun 2011

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