Towards Accurate Binary Convolutional Neural Network

30 November 2017

Papers citing "Towards Accurate Binary Convolutional Neural Network"

50 / 141 papers shown

Title
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off Sachit Kuhar Yash Jain Alexey Tumanov MQ 56 0 0 04 Dec 2023
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation Shuang Wang B. Eravcı Rustam Guliyev Hakan Ferhatosmanoglu GNN MQ 39 6 0 29 Aug 2023
Learning Discrete Weights and Activations Using the Local Reparameterization Trick G. Berger Aviv Navon Ethan Fetaya MQ 25 0 0 04 Jul 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 25 4 0 11 Apr 2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 32 0 0 07 Apr 2023
Distributed Neural Representation for Reactive in situ Visualization Qi Wu J. Insley V. Mateevitsi S. Rizzi M. Papka Kwan-Liu Ma 32 1 0 28 Mar 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu Feng Yu Xianglong Liu MQ AAML 49 36 0 26 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 21 1 0 15 Jan 2023
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling Shishira R. Maiya Sharath Girish Max Ehrlich Hanyu Wang Kwot Sin Lee Patrick Poirson Pengxiang Wu Chen Wang Abhinav Shrivastava VGen 47 40 0 30 Dec 2022
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons Yixing Xu Xinghao Chen Yunhe Wang MQ 27 8 0 29 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 35 3 0 24 Dec 2022
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning Huimin Wu Chenyang Lei Xiao Sun Pengju Wang Qifeng Chen Kwang-Ting Cheng Stephen Lin Zhirong Wu MQ 38 5 0 19 Dec 2022
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 36 14 0 01 Dec 2022
Signed Binary Weight Networks Sachit Kuhar Alexey Tumanov Judy Hoffman MQ 21 1 0 25 Nov 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance Haotong Qin Xudong Ma Yifu Ding Xiaochen Li Yang Zhang Zejun Ma Jiakai Wang Jie Luo Xianglong Liu MQ 40 20 0 13 Nov 2022
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning Udbhav Bamba Neeraj Anand Saksham Aggarwal Dilip K Prasad D. K. Gupta MQ 26 0 0 12 Nov 2022
Packed-Ensembles for Efficient Uncertainty Estimation Olivier Laurent Adrien Lafage Enzo Tartaglione Geoffrey Daniel Jean-Marc Martinez Andrei Bursuc Gianni Franchi OODD 46 32 0 17 Oct 2022
Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud Geraldo F. Oliveira Juan Gómez Luna Saugata Ghose Amirali Boroumand O. Mutlu 34 24 0 19 Sep 2022
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise Egor Shvetsov Dmitry Osin Alexey Zaytsev Ivan Koryakovskiy Valentin Buchnev I. Trofimov Evgeny Burnaev MQ 33 2 0 31 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhaopeng Tu Xinghao Chen Pengju Ren Yunhe Wang MQ 36 54 0 17 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 30 11 0 11 Aug 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 16 19 0 13 Jul 2022
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction Shiqi Zhao Jie Yang Yankun Xu Mohamad Sawan 28 29 0 08 Jun 2022
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm Yanfei Li Tong Geng S. Stein Ang Li Hui-Ling Yu MQ 31 8 0 05 Jun 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks Kinshuk Dua FedML MQ 29 0 0 19 May 2022
Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection Tahsinur Rahman Talukdar M.J. Hossain Tahmid H. Talukdar 19 4 0 21 Feb 2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision Guhong Nie Lirui Xiao Menglong Zhu Dongliang Chu Yue-Hong Shen Peng Li Kan Yang Li Du Bo Chen Dji Innovations Inc MQ 34 5 0 08 Feb 2022
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 30 6 0 19 Dec 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 37 24 0 24 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 26 0 0 19 Nov 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks Yikai Wang Yi Yang Gang Hua Anbang Yao MQ 29 15 0 18 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 49 7 0 16 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 49 62 0 13 Oct 2021
Dynamic Binary Neural Network by learning channel-wise thresholds Jiehua Zhang Z. Su Yang Feng Xin Lu M. Pietikäinen Li Liu MQ 19 18 0 08 Oct 2021
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 25 1 0 06 Oct 2021
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks Cheng Gong Ye Lu Kunpeng Xie Zongming Jin Tao Li Yanzhi Wang MQ 27 7 0 08 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 33 31 0 01 Sep 2021
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression Minsik Cho Keivan Alizadeh Vahid Saurabh N. Adya Mohammad Rastegari 42 34 0 28 Aug 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 33 0 0 04 Jul 2021
How Do Adam and Training Strategies Help BNNs Optimization? Zechun Liu Zhiqiang Shen Shichao Li K. Helwegen Dong Huang Kwang-Ting Cheng ODL MQ 25 83 0 21 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 31 69 0 16 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang MQ 24 11 0 13 Jun 2021
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM Nastaran Hajinazar Geraldo F. Oliveira Sven Gregorio João Dinis Ferreira Nika Mansouri-Ghiasi Minesh Patel M. Alser Saugata Ghose Juan Gómez Luna O. Mutlu 24 17 0 26 May 2021
Winograd Algorithm for AdderNet Wenshuo Li Hanting Chen Mingqiang Huang Xinghao Chen Chunjing Xu Yunhe Wang 29 8 0 12 May 2021
Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles Jiwei Guan Xi Zheng Chen Wang Yipeng Zhou A. Jolfaei AAML 23 5 0 20 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 50 11 0 01 Apr 2021
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures Sushant Singh A. Mahmood AI4TS 60 94 0 23 Mar 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks Zihan Xu Mingbao Lin Jianzhuang Liu Jie Chen Ling Shao Yue Gao Yonghong Tian Rongrong Ji MQ 24 81 0 23 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer B. Kailkhura MQ 35 75 0 17 Mar 2021
Learning Frequency Domain Approximation for Binary Neural Networks Yixing Xu Kai Han Chang Xu Yehui Tang Chunjing Xu Yunhe Wang MQ 22 54 0 01 Mar 2021