Slimmable Neural Networks

21 December 2018

Thomas Huang

Papers citing "Slimmable Neural Networks"

50 / 85 papers shown

Title
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency Qingyuan Wang Guoxin Wang B. Cardiff Deepu John 33 0 0 07 May 2025
DPNet: Dynamic Pooling Network for Tiny Object Detection Luqi Gong Haotian Chen Y. Chen Tianliang Yao Chao Li Shuai Zhao Guangjie Han ObjD 108 0 0 05 May 2025
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models Benyamin Jamialahmadi Parsa Kavehzadeh Mehdi Rezagholizadeh Parsa Farinneya Hossein Rajabzadeh A. Jafari Boxing Chen Marzieh S. Tahaei 42 0 0 06 Mar 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey Ahmed Sharshar Latif U. Khan Waseem Ullah Mohsen Guizani VLM 62 3 0 11 Feb 2025
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training Aditya Annavajjala Alind Khare Animesh Agrawal Igor Fedorov Hugo Latapie Myungjin Lee Alexey Tumanov CLL 29 0 0 08 Jul 2024
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks Timothy K Johnsen Marco Levorato 31 1 0 16 May 2024
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction Yi Tian Xu Yun Fu 36 11 0 31 Mar 2024
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search Hongyuan Yu Cheng Wan Mengchen Liu Dongdong Chen Bin Xiao Xiyang Dai Yan Huang Yuan Lu Liang Wang 71 5 0 15 Mar 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu P. Beerel AAML 13 0 0 08 Feb 2024
Adaptive Depth Networks with Skippable Sub-Paths Woochul Kang 28 1 0 27 Dec 2023
Cooperative Learning for Cost-Adaptive Inference Xingli Fang Richard M. Bradford Jung-Eun Kim 21 1 0 13 Dec 2023
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 24 2 0 22 Nov 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 32 1 0 16 Nov 2023
PAUMER: Patch Pausing Transformer for Semantic Segmentation Evann Courdier Prabhu Teja Sivaprasad F. Fleuret 31 2 0 01 Nov 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition Samuel Horváth Stefanos Laskaridis Shashank Rajput Hongyi Wang BDL 26 4 0 28 Aug 2023
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes Francesco Daghero Alessio Burrello Enrico Macii P. Montuschi M. Poncino Daniele Jahier Pagliari 18 4 0 16 Jun 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Yunshan Zhong Yuyao Zhou Fei Chao Rongrong Ji MQ 26 1 0 14 May 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks Guihong Li Kartikeya Bhardwaj Yuedong Yang R. Marculescu AAML 26 0 0 13 May 2023
Small-footprint slimmable networks for keyword spotting Zuhaib Akhtar Mohammad Omar Khursheed Dongsu Du Yuzong Liu 24 2 0 21 Apr 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution Z. Su Jiehua Zhang Tianpeng Liu Zhen Liu Shuanghui Zhang M. Pietikäinen Li Liu 19 2 0 13 Apr 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay G. Wang Jiahao Li Bin Li Yan Lu 22 63 0 10 Feb 2023
OVO: One-shot Vision Transformer Search with Online distillation Zimian Wei H. Pan Xin-Yi Niu Dongsheng Li ViT 16 1 0 28 Dec 2022
Exploring Content Relationships for Distilling Efficient GANs Lizhou You Mingbao Lin Tie Hu Fei Chao Rongrong Ji 19 3 0 21 Dec 2022
Rethinking Vision Transformers for MobileNet Size and Speed Yanyu Li Ju Hu Yang Wen Georgios Evangelidis Kamyar Salahi Yanzhi Wang Sergey Tulyakov Jian Ren ViT 23 157 0 15 Dec 2022
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 19 2 0 10 Dec 2022
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement Wenhao Sun Grace Li Zhang Xunzhao Yin Cheng Zhuo Huaxi Gu Bing Li Ulf Schlichtmann 13 1 0 27 Nov 2022
Efficiently Controlling Multiple Risks with Pareto Testing Bracha Laufer-Goldshtein Adam Fisch Regina Barzilay Tommi Jaakkola 34 16 0 14 Oct 2022
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning Weicong Liang Yuhui Yuan Henghui Ding Xiao Luo Weihong Lin Ding Jia Zheng-Wei Zhang Chao Zhang Hanhua Hu 22 25 0 03 Oct 2022
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection Yiming Cui 37 8 0 02 Oct 2022
DRESS: Dynamic REal-time Sparse Subnets Zhongnan Qu Syed Shakib Sarwar Xin Dong Yuecheng Li Huseyin Ekin Sumbul B. D. Salvo 3DH 11 1 0 01 Jul 2022
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems Jiajia Guo Chao-Kai Wen Shi Jin Geoffrey Ye Li 29 146 0 29 Jun 2022
Play It Cool: Dynamic Shifting Prevents Thermal Throttling Yangxu Zhou Feng Liang Ting-Wu Chin Diana Marculescu 9 2 0 22 Jun 2022
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 22 1 0 16 Jun 2022
Fine-tuning Image Transformers using Learnable Memory Mark Sandler A. Zhmoginov Max Vladymyrov Andrew Jackson ViT 13 47 0 29 Mar 2022
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 16 46 0 28 Mar 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 13 16 0 26 Mar 2022
ARM: Any-Time Super-Resolution Method Bohong Chen Mingbao Lin Kekai Sheng Mengdan Zhang Peixian Chen Ke Li Liujuan Cao Rongrong Ji SupR 28 31 0 21 Mar 2022
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning Seunghyun Lee B. Song 11 8 0 05 Mar 2022
Learning Features with Parameter-Free Layers Dongyoon Han Y. Yoo Beomyoung Kim Byeongho Heo 27 8 0 06 Feb 2022
Iterative Activation-based Structured Pruning Kaiqi Zhao Animesh Jain Ming Zhao 19 0 0 22 Jan 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 19 18 0 16 Dec 2021
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 22 16 0 05 Dec 2021
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding Hankyul Baek Won Joon Yun Soyi Jung Jihong Park Mingyue Ji Joongheon Kim M. Bennis 36 1 0 05 Dec 2021
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks Hankyul Baek Won Joon Yun Yunseok Kwak Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim FedML 62 21 0 05 Dec 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 16 24 0 24 Nov 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations Roy Miles K. Mikolajczyk 11 0 0 25 Oct 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks Yikai Wang Yi Yang Fuchun Sun Anbang Yao MQ 11 15 0 18 Oct 2021
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training Hui-Po Wang Sebastian U. Stich Yang He Mario Fritz FedML AI4CE 22 46 0 11 Oct 2021
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time Elvis Nunez Maxwell Horton Anish K. Prabhu Anurag Ranjan Ali Farhadi Mohammad Rastegari 10 4 0 08 Oct 2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search Jiaqi Li Haoran Li Yaran Chen Zixiang Ding Nannan Li Mingjun Ma Zicheng Duan Dong Zhao 29 9 0 08 Oct 2021