受强制性开放获取政策约束的文章 - Sathya N. Ravi了解详情
可在其他位置公开访问的文章：26 篇
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
A deterministic nonsmooth frank wolfe algorithm with coreset guarantees
SN Ravi, MD Collins, V Singh
Informs Journal on Optimization 1 (2), 120-142, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
Physarum Powered Differentiable Linear Programming Layers and Applications
Z Meng, SN Ravi, V Singh
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Robust monocular localization of drones by adapting domain maps to depth prediction inaccuracies
P Shukla, S Sureshkumar, AC Stutts, S Ravi, T Tulabandhula, AR Trivedi
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
强制性开放获取政策： US Department of Defense
Equivariance allows handling multiple nuisance variables when analyzing pooled neuroimaging datasets
VS Lokhande, R Chakraborty, SN Ravi, V Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
On statistical analysis of neuroimages with imperfect registration
WH Kim, SN Ravi, SC Johnson, OC Okonkwo, V Singh
Proceedings of the IEEE international conference on computer vision, 666-674, 2015
强制性开放获取政策： US National Institutes of Health
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