Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Improving Adversarial Robustness in Weight-quantized Neural Networks

Dec 29, 2020
Chang Song, Elias Fallon, Hai Li

* 10 pages 

  Access Paper or Ask Questions

Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective

Dec 08, 2020
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen


  Access Paper or Ask Questions

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

Dec 08, 2020
Binghui Wang, Ang Li, Hai Li, Yiran Chen


  Access Paper or Ask Questions

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition

Nov 30, 2020
Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen


  Access Paper or Ask Questions

Fast IR Drop Estimation with Machine Learning

Nov 26, 2020
Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen

* 2020 International Conference On Computer Aided Design (ICCAD 2020) 

  Access Paper or Ask Questions

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

Oct 18, 2020
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li

* To be appeared in NeurIPS 2020 conference (Oral) 

  Access Paper or Ask Questions

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Sep 12, 2020
Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen


  Access Paper or Ask Questions

Evasion Attacks to Graph Neural Networks via Influence Function

Sep 12, 2020
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen


  Access Paper or Ask Questions

Efficient Evasion Attacks to Graph Neural Networks via Influence Function

Sep 01, 2020
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen


  Access Paper or Ask Questions

LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Aug 07, 2020
Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li


  Access Paper or Ask Questions

NASGEM: Neural Architecture Search via Graph Embedding Method

Jul 08, 2020
Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen


  Access Paper or Ask Questions

Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces

Jun 12, 2020
Chaofei Yang, Lei Ding, Yiran Chen, Hai Li


  Access Paper or Ask Questions

PENNI: Pruned Kernel Sharing for Efficient CNN Inference

May 14, 2020
Shiyu Li, Edward Hanson, Hai Li, Yiran Chen


  Access Paper or Ask Questions

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification

Apr 20, 2020
Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

* In proceeding of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). To be presented at EDLCV 2020 workshop co-located with CVPR 2020 

  Access Paper or Ask Questions

Neural Predictor for Neural Architecture Search

Dec 02, 2019
Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans


  Access Paper or Ask Questions

AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture

Nov 21, 2019
Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Li, Yiran Chen


  Access Paper or Ask Questions

Defending Neural Backdoors via Generative Distribution Modeling

Nov 06, 2019
Ximing Qiao, Yukun Yang, Hai Li


  Access Paper or Ask Questions

Structural sparsification for Far-field Speaker Recognition with GNA

Oct 25, 2019
Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Li, Yiran Chen

* submitted to icassp2020 

  Access Paper or Ask Questions

Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training

Sep 25, 2019
Chunpeng Wu, Wei Wen, Yiran Chen, Hai Li


  Access Paper or Ask Questions

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment

Sep 18, 2019
Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li


  Access Paper or Ask Questions

Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving

Sep 17, 2019
Juncheng Shen, Juzheng Liu, Yiran Chen, Hai Li


  Access Paper or Ask Questions

DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement

Sep 13, 2019
Qing Yang, Jiachen Mao, Zuoguan Wang, Hai Li


  Access Paper or Ask Questions

Feedback Learning for Improving the Robustness of Neural Networks

Sep 12, 2019
Chang Song, Zuoguan Wang, Hai Li

* Accepted by ICMLA 2019 

  Access Paper or Ask Questions

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures

Aug 27, 2019
Huanrui Yang, Wei Wen, Hai Li


  Access Paper or Ask Questions

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures

Jun 25, 2019
Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Li, Yiran Chen


  Access Paper or Ask Questions

Joint Pruning on Activations and Weights for Efficient Neural Networks

Jun 19, 2019
Qing Yang, Wei Wen, Zuoguan Wang, Hai Li


  Access Paper or Ask Questions

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks

Jun 07, 2019
Wei Wen, Feng Yan, Hai Li


  Access Paper or Ask Questions