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Sathya N. Ravi
Sathya N. Ravi
Assistant Professor Of Computer Science at University of Illinois at Chicago
Verified email at uic.edu - Homepage
Title
Cited by
Cited by
Year
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
732018
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
71*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
602022
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
452012
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
392020
Fairalm: Augmented lagrangian method for training fair models with little regret
VS Lokhande, AK Akash, SN Ravi, V Singh
European Conference on Computer Vision, 365-381, 2020
312020
A deterministic nonsmooth frank wolfe algorithm with coreset guarantees
SN Ravi, MD Collins, V Singh
Informs Journal on Optimization 1 (2), 120-142, 2019
222019
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
20*2016
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
192021
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
192019
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
192016
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
152015
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
142016
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
112015
Physarum Powered Differentiable Linear Programming Layers and Applications
Z Meng, SN Ravi, V Singh
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2020
102020
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
92016
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
72021
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
72020
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
62017
Starnet: Sensor trustworthiness and anomaly recognition via approximated likelihood regret for robust edge autonomy
N Darabi, S Tayebati, S Ravi, T Tulabandhula, AR Trivedi
arXiv preprint arXiv:2309.11006, 2023
52023
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Articles 1–20