Compressing Neural Networks with the Hashing Trick

19 April 2015

Papers citing "Compressing Neural Networks with the Hashing Trick"

50 / 157 papers shown

Title
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models Yoojin Jung Byung Cheol Song AAML VLM MQ 41 0 0 07 Apr 2025
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 31 21 0 21 Jun 2024
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers Quan Liu Brandon T. Swartz Ivan Kravchenko Jason G Valentine Yuankai Huo 30 2 0 27 May 2024
Hash3D: Training-free Acceleration for 3D Generation Xingyi Yang Xinchao Wang 3DGS 38 10 0 09 Apr 2024
The Unreasonable Ineffectiveness of the Deeper Layers Andrey Gromov Kushal Tirumala Hassan Shapourian Paolo Glorioso Daniel A. Roberts 52 81 0 26 Mar 2024
Deep Learning-Driven Approach for Handwritten Chinese Character Classification Boris Kriuk Fedor Kriuk 10 0 0 30 Jan 2024
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling Lihui Xue Zhihao Wang Xueqian Wang Gang Li 41 1 0 16 Oct 2023
NOLA: Compressing LoRA using Linear Combination of Random Basis Soroush Abbasi Koohpayegani K. Navaneet Parsa Nooralinejad Soheil Kolouri Hamed Pirsiavash 40 12 0 04 Oct 2023
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings Vittorio Giammarino Arnaud Dapogny Kévin Bailly MQ 24 1 0 29 Sep 2023
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 24 6 0 10 Aug 2023
Digital Modeling on Large Kernel Metamaterial Neural Network Quan Liu Hanyu Zheng Brandon T. Swartz Ho Hin Lee Zuhayr Asad I. Kravchenko Jason G Valentine Yuankai Huo 20 4 0 21 Jul 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning Jun Chen Shipeng Bai Tianxin Huang Mengmeng Wang Guanzhong Tian Y. Liu MQ 41 18 0 02 Jul 2023
Analyzing Compression Techniques for Computer Vision Maniratnam Mandal Imran Khan 27 1 0 14 May 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation Gopu Krishna Jha Anthony Thomas Nilesh Jain Sameh Gobriel Tajana Rosing Ravi Iyer 53 2 0 12 May 2023
OPORP: One Permutation + One Random Projection Ping Li Xiaoyun Li 31 8 0 07 Feb 2023
Design and Implementation of A Soccer Ball Detection System with Multiple Cameras Leihui Li Tianfang Zhang Zhongfeng Kang Wen-Hui Zhang 14 3 0 31 Jan 2023
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 27 8 0 21 Oct 2022
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing Anthony Thomas Behnam Khaleghi Gopi Krishna Jha S. Dasgupta N. Himayat Ravi Iyer Nilesh Jain Tajana Rosing 18 6 0 20 Sep 2022
Seeking Interpretability and Explainability in Binary Activated Neural Networks Benjamin Leblanc Pascal Germain FAtt 40 1 0 07 Sep 2022
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment Jie Zhu Leye Wang Xiao Han 28 9 0 11 Aug 2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification Yihe Lu Maoguo Gong Wei Zhao Kaiyuan Feng Hao Li VLM 29 0 0 09 Aug 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications Deniz Gunduz Zhijin Qin Iñaki Estella Aguerri Harpreet S. Dhillon Zhaohui Yang Aylin Yener Kai‐Kit Wong C. Chae 27 433 0 19 Jul 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating E. Passov E. David N. Netanyahu AAML 45 0 0 30 May 2022
Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer S. H. Shabbeer Basha Debapriya Tula Sravan Kumar Vinakota S. Dubey 26 3 0 12 May 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 36 11 0 06 Apr 2022
Distributed data analytics Richard Mortier Hamed Haddadi S. S. Rodríguez Liang Wang 29 2 0 26 Mar 2022
Learning Compressed Embeddings for On-Device Inference Niketan Pansare J. Katukuri Aditya Arora F. Cipollone R. Shaik Noyan Tokgozoglu Chandru Venkataraman 37 14 0 18 Mar 2022
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer Kaiqi Zhao Yitao Chen Ming Zhao 25 3 0 22 Jan 2022
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization Bo-Shiuan Chu Che-Rung Lee 26 11 0 07 Dec 2021
Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization Jianglin Lu Hailing Wang Jie Zhou Mengfan Yan J. Wen 27 4 0 24 Oct 2021
Class-Discriminative CNN Compression Yuchen Liu D. Wentzlaff S. Kung 26 1 0 21 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
A Survey on GAN Acceleration Using Memory Compression Technique Dina Tantawy Mohamed Zahran A. Wassal 36 8 0 14 Aug 2021
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 25 6 0 04 Aug 2021
Learning a Neural Diff for Speech Models J. Macoskey Grant P. Strimel Ariya Rastrow 18 2 0 03 Aug 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Rongrong Ji Rongrong Ji VLM 33 23 0 14 Jul 2021
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos Lukas Hedegaard Alexandros Iosifidis 3DPC 23 14 0 31 May 2021
A Survey of Modern Deep Learning based Object Detection Models Syed Sahil Abbas Zaidi M. S. Ansari Asra Aslam N. Kanwal M. Asghar Brian Lee VLM ObjD 67 729 0 24 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 38 401 0 05 Apr 2021
CDFI: Compression-Driven Network Design for Frame Interpolation Tianyu Ding Luming Liang Zhihui Zhu Ilya Zharkov 27 93 0 18 Mar 2021
Benchmarking Quantized Neural Networks on FPGAs with FINN Quentin Ducasse Pascal Cotret Loïc Lagadec Rob Stewart MQ 24 13 0 02 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 675 0 24 Jan 2021
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks Pengtao Xu Jian Cao Fanhua Shang Wenyu Sun Pu Li 3DPC 20 24 0 29 Nov 2020
Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy Guoqing Bao M. Graeber Xiuying Wang 13 5 0 07 Nov 2020
Parameter Efficient Deep Neural Networks with Bilinear Projections Litao Yu Yongsheng Gao Jun Zhou Jian Zhang 21 1 0 03 Nov 2020
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 24 30 0 10 Oct 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 29 69 0 02 Sep 2020
Meta Feature Modulator for Long-tailed Recognition Renzhen Wang Kaiqin Hu Yanwen Zhu Jun Shu Qian Zhao Deyu Meng 16 12 0 08 Aug 2020
Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems Donsub Rim Luca Venturi Joan Bruna Benjamin Peherstorfer 28 9 0 28 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 39 27 0 13 Jul 2020