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Quantization Networks

Computer Vision and Pattern Recognition (CVPR), 2019

21 November 2019

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Papers citing "Quantization Networks"

50 / 173 papers shown

Title
Data Exfiltration by Compression Attack: Definition and Evaluation on Medical Image Data Huiyu Li N. Ayache H. Delingette MIACV AAML MedIm 735 0 0 26 Nov 2025
AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models Seunghoon Lee Jeongwoo Choi Byunggwan Son Jaehyeon Moon Jeimin Jeon Bumsub Ham DiffM MQ 212 0 0 23 Oct 2025
DualHash: A Stochastic Primal-Dual Algorithm with Theoretical Guarantee for Deep Hashing Luxuan Li Xiao Wang C. Cui 105 0 0 21 Oct 2025
Binary Autoencoder for Mechanistic Interpretability of Large Language Models Hakaze Cho Haolin Yang Brian M. Kurkoski Naoya Inoue MQ 196 0 0 25 Sep 2025
Deep Lookup NetworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Yulan Guo Longguang Wang Wendong Mao Xiaoyu Dong Yingqian Wang Li Liu W. An 109 0 0 17 Sep 2025
T-MLP: Tailed Multi-Layer Perceptron for Level-of-Detail Signal Representation Chuanxiang Yang Yuanfeng Zhou Guangshun Wei Siyu Ren Yuan Liu Junhui Hou Wenping Wang 188 0 0 26 Aug 2025
Delta-SVD: Efficient Compression for Personalized Text-to-Image Models Tangyuan Zhang Shangyu Chen Qixiang Chen Jianfei Cai 88 0 0 23 Aug 2025
Neural Network Quantization for Microcontrollers: A Comprehensive Survey of Methods, Platforms, and Applications Hamza A. Abushahla Dara Varam Ariel J. N. Panopio Mohamed I. AlHajri MQ 368 1 0 20 Aug 2025
TopKD: Top-scaled Knowledge Distillation Qi Wang Jinjia Zhou 115 0 0 06 Aug 2025
Test-Time Model Adaptation for Quantized Neural Networks Zeshuai Deng Guohao Chen Shuaicheng Niu Hui Luo Shuhai Zhang Yifan Yang Renjie Chen Wei Luo Mingkui Tan MQ 151 1 0 04 Aug 2025
MSQ: Memory-Efficient Bit Sparsification Quantization Seokho Han Seoyeon Yoon Jinhee Kim Dongwei Wang Kang Eun Jeon Huanrui Yang Jong Hwan Ko MQ 140 0 0 30 Jul 2025
CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Na Li Yansong Gao Hongsheng Hu Boyu Kuang Anmin Fu 216 0 0 22 Jul 2025
The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis Bernardo P. Schaeffer Ricardo M. S. Rosa Glauco Valle DiffM 193 0 0 13 Jun 2025
ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices Maoyu Wang Yao Lu Jiaqi Nie Zeyu Wang Yun Lin Qi Xuan Guan Gui 179 0 0 08 Jun 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering Yankai Chen Yue Que Xinni Zhang Chen Ma Irwin King 231 2 0 03 Jun 2025
Energy Considerations for Large Pretrained Neural Networks Leo Mei Mark Stamp AI4CE 188 0 0 02 Jun 2025
Quantization Meets Reasoning: Exploring and Mitigating Degradation of Low-Bit LLMs in Mathematical Reasoning Zhen Li Yupeng Su Songmiao Wang Runming Yang C. Xie Aofan Liu Ming Li Jiannong Cao Yuan Xie Ngai Wong MQ 381 0 0 16 May 2025
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Weilong Dai Jie Song MQ 363 3 0 08 May 2025
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance Diep Luong Mikko Heikkinen Konstantinos Drossos Maria Sandsten 354 0 0 06 May 2025
DNAD: Differentiable Neural Architecture Distillation Xuan Rao Bo Zhao Derong Liu 375 1 0 25 Apr 2025
Real-Time Navigation for Autonomous Aerial Vehicles Using Video Khizar Anjum Parul Pandey Vidyasagar Sadhu Roberto Tron D. Pompili 226 0 0 01 Apr 2025
Medifact at PerAnsSumm 2025: Leveraging Lightweight Models for Perspective-Specific Summarization of Clinical Q&A Forums Nadia Saeed 173 0 0 15 Mar 2025
Illuminating Darkness: Learning to Enhance Low-light Images In-the-Wild S. Sharif Abdur Rehman Zain Ul Abidin R. A. Naqvi Fayaz Ali Dharejo Radu Timofte 366 2 0 10 Mar 2025
Cauchy-Schwarz RegularizersInternational Conference on Learning Representations (ICLR), 2025 Sueda Taner Ziyi Wang Christoph Studer 406 0 0 03 Mar 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels Ayana Moshruba Shay Snyder Hamed Poursiami Maryam Parsa AAML 259 5 0 25 Feb 2025
Coded Deep Learning: Framework and AlgorithmIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2025 En-Hui Yang Shayan Mohajer Hamidi 143 3 0 20 Jan 2025
Fast Matrix Multiplications for Lookup Table-Quantized LLMsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Han Guo William Brandon Radostin Cholakov Jonathan Ragan-Kelley Eric P. Xing Yoon Kim MQ 402 19 0 20 Jan 2025
Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart Chengting Yu Shu Yang Fengzhao Zhang Hanzhi Ma Aili Wang Er-ping Li MQ 255 7 0 20 Dec 2024
Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth QuantizationEuropean Conference on Computer Vision (ECCV), 2024 Wen Liu Xue Xian Zheng Jingyi Yu Xin Lou MQ 258 7 0 25 Oct 2024
Continuous Approximations for Improving Quantization Aware Training of LLMs He Li Jianhang Hong Yuanzhuo Wu Snehal Adbol Zonglin Li MQ 231 2 0 06 Oct 2024
TrustEMG-Net: Using Representation-Masking Transformer with U-Net for Surface Electromyography EnhancementIEEE journal of biomedical and health informatics (IEEE JBHI), 2024 Kuan-Chen Wang Kai-Chun Liu Ping-Cheng Yeh Sheng-Yu Peng Yu Tsao 195 3 0 04 Oct 2024
Automatic Feature Learning for Essence: a Case Study on Car Sequencing Alessio Pellegrino Ozgur Akgun Nguyen Dang Z. Kiziltan Ian Miguel 198 0 0 23 Sep 2024
3D Point Cloud Network Pruning: When Some Weights Do not MatterBritish Machine Vision Conference (BMVC), 2024 Amrijit Biswas M. Hossain M. M. L. Elahi A. Cheraghian Fuad Rahman Nabeel Mohammed Shafin Rahman 3DPC 283 5 0 26 Aug 2024
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through QuantizationJournal of Fourier Analysis and Applications (JFAA), 2024 Holger Boche Vít Fojtík Adalbert Fono Gitta Kutyniok 342 1 0 12 Aug 2024
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction Shuai Zhang Zite Jiang Haihang You GNN 225 3 0 01 Aug 2024
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners Yifei Gao Jie Ou Lei Wang Fanhua Shang Jaji Wu MQ 368 0 0 22 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 230 1 0 20 Jul 2024
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients Jeimin Jeon Junghyup Lee Jeimin Jeon Jaehyeon Moon Bumsub Ham MQ 251 2 0 17 Jul 2024
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks Jingyang Xiang Zuohui Chen Siqi Li Qing Wu Yong-Jin Liu 252 3 0 07 Jul 2024
Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other Yifei Gao Jie Ou Lei Wang Yuting Xiao Zhiyuan Xiang Ruiting Dai Jun Cheng MQ 192 5 0 24 Jun 2024
Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves Mykhail M. Uss Ruslan Yermolenko Olena Kolodiazhna Olena Kolodiazhna Ivan Safonov Volodymyr Savin Yoonjae Yeo Seowon Ji Jaeyun Jeong MQ 219 0 0 22 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare Xingyu Li Lu Peng Yuping Wang Weihua Zhang AI4CE MedIm LM&MA 337 30 0 10 May 2024
Custom Gradient Estimators are Straight-Through Estimators in Disguise Matt Schoenbauer Daniele Moro Lukasz Lew Andrew G. Howard MQ 322 6 0 08 May 2024
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator DesignConference on Machine Learning and Systems (MLSys), 2024 Jian Meng Yuan Liao Anupreetham Anupreetham Ahmed Hassan Shixing Yu Han-Sok Suh Xiaofeng Hu Jae-sun Seo MQ 194 2 0 02 May 2024
A Survey on Deep Learning and State-of-the-art Applications Mohd Halim Mohd Noor A. O. Ige AILaw MLAU 202 0 0 26 Mar 2024
Systematic construction of continuous-time neural networks for linear dynamical systems Chinmay Datar Adwait Datar Felix Dietrich W. Schilders AI4TS 215 2 0 24 Mar 2024
opML: Optimistic Machine Learning on Blockchain KD Conway Cathie So Xiaohang Yu Kartin Wong 219 22 0 31 Jan 2024
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting Yashwardhan Chaudhuri Ankit Kumar Orchid Chetia Phukan Arun Balaji Buduru 172 3 0 11 Jan 2024
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition Bruno Arcanjo Bruno Ferrarini Maria Fasli Michael Milford Klaus D. McDonald-Maier Shoaib Ehsan 169 1 0 20 Dec 2023
SCoTTi: Save Computation at Training Time with an adaptive framework Ziyu Li Enzo Tartaglione Van-Tam Nguyen 192 4 0 19 Dec 2023