LIBLINEAR: A library for large linear classification RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin the Journal of machine Learning research 9, 1871-1874, 2008 | 9946 | 2008 |
Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models PY Chen, H Zhang, Y Sharma, J Yi, CJ Hsieh Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017 | 2054 | 2017 |
Visualbert: A simple and performant baseline for vision and language LH Li, M Yatskar, D Yin, CJ Hsieh, KW Chang arXiv preprint arXiv:1908.03557, 2019 | 1826 | 2019 |
Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks WL Chiang, X Liu, S Si, Y Li, S Bengio, CJ Hsieh Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 1391 | 2019 |
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu Advances in neural information processing systems 30, 2017 | 1259 | 2017 |
A dual coordinate descent method for large-scale linear SVM CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan Proceedings of the 25th international conference on Machine learning, 408-415, 2008 | 1210 | 2008 |
Large batch optimization for deep learning: Training bert in 76 minutes Y You, J Li, S Reddi, J Hseu, S Kumar, S Bhojanapalli, X Song, J Demmel, ... arXiv preprint arXiv:1904.00962, 2019 | 1085 | 2019 |
Efficient neural network robustness certification with general activation functions H Zhang, TW Weng, PY Chen, CJ Hsieh, L Daniel Advances in neural information processing systems 31, 2018 | 825 | 2018 |
Towards fast computation of certified robustness for relu networks L Weng, H Zhang, H Chen, Z Song, CJ Hsieh, L Daniel, D Boning, ... International Conference on Machine Learning, 5276-5285, 2018 | 804 | 2018 |
Training and testing low-degree polynomial data mappings via linear SVM. YW Chang, CJ Hsieh, KW Chang, M Ringgaard, CJ Lin Journal of Machine Learning Research 11 (4), 2010 | 737 | 2010 |
Ead: elastic-net attacks to deep neural networks via adversarial examples PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 678 | 2018 |
Dynamicvit: Efficient vision transformers with dynamic token sparsification Y Rao, W Zhao, B Liu, J Lu, J Zhou, CJ Hsieh Advances in neural information processing systems 34, 13937-13949, 2021 | 574 | 2021 |
Evaluating the robustness of neural networks: An extreme value theory approach TW Weng, H Zhang, PY Chen, J Yi, D Su, Y Gao, CJ Hsieh, L Daniel arXiv preprint arXiv:1801.10578, 2018 | 542 | 2018 |
Towards robust neural networks via random self-ensemble X Liu, M Cheng, H Zhang, CJ Hsieh Proceedings of the european conference on computer vision (ECCV), 369-385, 2018 | 506 | 2018 |
Imagenet training in minutes Y You, Z Zhang, CJ Hsieh, J Demmel, K Keutzer Proceedings of the 47th international conference on parallel processing, 1-10, 2018 | 489 | 2018 |
Query-efficient hard-label black-box attack: An optimization-based approach M Cheng, T Le, PY Chen, J Yi, H Zhang, CJ Hsieh arXiv preprint arXiv:1807.04457, 2018 | 469 | 2018 |
Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks CC Tu, P Ting, PY Chen, S Liu, H Zhang, J Yi, CJ Hsieh, SM Cheng Proceedings of the AAAI conference on artificial intelligence 33 (01), 742-749, 2019 | 438 | 2019 |
Sparse inverse covariance matrix estimation using quadratic approximation CJ Hsieh, I Dhillon, P Ravikumar, M Sustik Advances in neural information processing systems 24, 2011 | 429 | 2011 |
Towards stable and efficient training of verifiably robust neural networks H Zhang, H Chen, C Xiao, S Gowal, R Stanforth, B Li, D Boning, CJ Hsieh arXiv preprint arXiv:1906.06316, 2019 | 358 | 2019 |
Coordinate descent method for large-scale l2-loss linear support vector machines. KW Chang, CJ Hsieh, CJ Lin Journal of Machine Learning Research 9 (7), 2008 | 357 | 2008 |