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Sathya N. Ravi
Sathya N. Ravi
Assistant Professor Of Computer Science at University of Illinois at Chicago
uic.edu의 이메일 확인됨 - 홈페이지
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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
622018
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
422012
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
282020
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
232020
A deterministic nonsmooth frank wolfe algorithm with coreset guarantees
SN Ravi, MD Collins, V Singh
Informs Journal on Optimization 1 (2), 120-142, 2019
182019
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
152016
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
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
142015
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
132019
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
82022
Physarum Powered Differentiable Linear Programming Layers and Applications
Z Meng, SN Ravi, V Singh
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2020
72020
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
72016
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
72015
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
62021
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
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
52021
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
32020
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
32020
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