| Tensorize, factorize and regularize: Robust visual relationship learning SJ Hwang, SN Ravi, Z Tao, HJ Kim, MD Collins, V Singh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 62 | 2018 |
| Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence SN Ravi, T Dinh, VS Lokhande, V Singh Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4772-4779, 2019 | 59* | 2019 |
| Fuzzy assessment of FMEA for rotary switches: a case study S Vinodh, S Aravindraj, SN Ravi, N Yogeshwaran The TQM Journal 24 (5), 461-475, 2012 | 42 | 2012 |
| Generating accurate pseudo-labels in semi-supervised learning and avoiding overconfident predictions via hermite polynomial activations VS Lokhande, S Tasneeyapant, A Venkatesh, SN Ravi, V Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 28 | 2020 |
| Fairalm: Augmented lagrangian method for training fair models with little regret VS Lokhande, AK Akash, SN Ravi, V Singh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 23 | 2020 |
| A deterministic nonsmooth frank wolfe algorithm with coreset guarantees SN Ravi, MD Collins, V Singh Informs Journal on Optimization 1 (2), 120-142, 2019 | 18 | 2019 |
| On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation VK Ithapu, SN Ravi, V Singh In 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 17* | 2016 |
| Experimental Design on a Budget for Sparse Linear Models and Applications SN Ravi, VK Ithapu, SC Johnson, V Singh Proceedings of The 33rd International Conference on Machine Learning, 583-592, 2016 | 15 | 2016 |
| Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease H Zhou, VK Ithapu, SN Ravi, V Singh, G Wahba, SC Johnson Advances in Neural Information Processing Systems, 2496-2504, 2016 | 14 | 2016 |
| An NMF perspective on binary hashing L Mukherjee, SN Ravi, VK Ithapu, T Holmes, V Singh Proceedings of the IEEE International Conference on Computer Vision, 4184-4192, 2015 | 14 | 2015 |
| Adaptive activation thresholding: Dynamic routing type behavior for interpretability in convolutional neural networks Y Sun, SN Ravi, V Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 13 | 2019 |
| Deep unlearning via randomized conditionally independent hessians R Mehta, S Pal, V Singh, SN Ravi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| Physarum Powered Differentiable Linear Programming Layers and Applications Z Meng, SN Ravi, V Singh Proceedings of the AAAI Conference on Artificial Intelligence 35, 2020 | 7 | 2020 |
| Coupled harmonic bases for longitudinal characterization of brain networks S Jae Hwang, N Adluru, MD Collins, SN Ravi, BB Bendlin, SC Johnson, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 7 | 2016 |
| A projection free method for generalized eigenvalue problem with a nonsmooth regularizer SJ Hwang, MD Collins, SN Ravi, VK Ithapu, N Adluru, SC Johnson, ... Proceedings of the IEEE International Conference on Computer Vision, 1841-1849, 2015 | 7 | 2015 |
| You only sample (almost) once: Linear cost self-attention via bernoulli sampling Z Zeng, Y Xiong, S Ravi, S Acharya, GM Fung, V Singh International conference on machine learning, 12321-12332, 2021 | 6 | 2021 |
| Filter Flow made Practical: Massively Parallel and Lock-Free SN Ravi, Y Xiong, L Mukherjee, V Singh The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp …, 2017 | 6 | 2017 |
| Learning Invariant Representations using Inverse Contrastive Loss AK Akash, VS Lokhande, SN Ravi, V Singh Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021 | 5 | 2021 |
| Performing group difference testing on graph structured data from Gans: Analysis and applications in neuroimaging TQ Dinh, Y Xiong, Z Huang, T Vo, A Mishra, WH Kim, SN Ravi, V Singh IEEE transactions on pattern analysis and machine intelligence 44 (2), 877-889, 2020 | 3 | 2020 |
| Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains SN Ravi, A Venkatesh, GM Fung, V Singh Proceedings of The {AAAI} Conference on Artificial Intelligence 34, 2020, 2020 | 3 | 2020 |
Vikas SinghUniversity of Wisconsin Madisonbiostat.wisc.edu의 이메일 확인됨
