Escaping from saddle points—online stochastic gradient for tensor decomposition R Ge, F Huang, C Jin, Y Yuan Conference on learning theory, 797-842, 2015 | 1234 | 2015 |
Cold diffusion: Inverting arbitrary image transforms without noise A Bansal, E Borgnia, HM Chu, JS Li, H Kazemi, F Huang, M Goldblum, ... Thirty-seventh Conference on Neural Information Processing Systems, 2022 | 184 | 2022 |
Dp-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ... arXiv preprint arXiv:2103.02079, 2021 | 142* | 2021 |
High-dimensional structure estimation in Ising models: Local separation criterion A Anandkumar, VYF Tan, F Huang, AS Willsky The Annals of Statistics, 1346-1375, 2012 | 129 | 2012 |
Learning deep resnet blocks sequentially using boosting theory F Huang, J Ash, J Langford, R Schapire International Conference on Machine Learning, 2058-2067, 2018 | 128 | 2018 |
Convolutional Tensor-Train LSTM for Spatio-temporal Learning J Su, W Byeon, F Huang, J Kautz, A Anandkumar Advances in Neural Information Processing Systems, 2020 | 124 | 2020 |
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models TZ Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu ... | 110* | 2023 |
High-dimensional Gaussian graphical model selection: Walk summability and local separation criterion A Anandkumar, VYF Tan, F Huang, AS Willsky Journal of Machine Learning Research 13 (August), 2012 | 106 | 2012 |
Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 90 | 2024 |
Position: On the Possibilities of AI-Generated Text Detection S Chakraborty, A Bedi, S Zhu, B An, D Manocha, F Huang Forty-first International Conference on Machine Learning, 0 | 83* | |
AutoDAN: Automatic and interpretable adversarial attacks on large language models S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ... arXiv preprint arXiv:2310.15140, 2023 | 71* | 2023 |
Understanding generalization through visualizations WR Huang, Z Emam, M Goldblum, L Fowl, JK Terry, F Huang, T Goldstein PMLR, 2020 | 69 | 2020 |
Learning mixtures of tree graphical models A Anandkumar, DJ Hsu, F Huang, SM Kakade Advances in Neural Information Processing Systems 25, 2012 | 67* | 2012 |
Who is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Y Sun, R Zheng, Y Liang, F Huang The Tenth International Conference on Learning Representations, 2022 | 61 | 2022 |
Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks A Schwarzschild, E Borgnia, A Gupta, F Huang, U Vishkin, M Goldblum, ... Advances in Neural Information Processing Systems 34, 6695-6706, 2021 | 61 | 2021 |
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Y Sun, D Huo, F Huang International Conference on Learning Representations, 2021 | 52 | 2021 |
Prediction-based spectrum aggregation with hardware limitation in cognitive radio networks F Huang, W Wang, H Luo, G Yu, Z Zhang 2010 IEEE 71st Vehicular Technology Conference, 1-5, 2010 | 51 | 2010 |
Online tensor methods for learning latent variable models F Huang, UN Niranjan, MU Hakeem, A Anandkumar The Journal of Machine Learning Research 16 (1), 2797-2835, 2015 | 46 | 2015 |
Convolutional dictionary learning through tensor factorization F Huang, A Anandkumar Feature Extraction: Modern Questions and Challenges, 116-129, 2015 | 45 | 2015 |
Fast detection of overlapping communities via online tensor methods F Huang, UN Niranjan, MU Hakeem, A Anandkumar arXiv preprint arXiv:1309.0787 40, 43, 2013 | 44 | 2013 |