Articles with public access mandates - Venkatesh SaligramaLearn more
Not available anywhere: 2
A provably efficient algorithm for separable topic discovery
W Ding, P Ishwar, V Saligrama
IEEE Journal of Selected Topics in Signal Processing 10 (4), 712-725, 2016
Mandates: US National Science Foundation
Active hedge: hedge meets active learning
V Saligrama, B Kumar, J Abernathy
International Conference on Machine Learning, 2022
Mandates: US National Science Foundation, US Department of Defense
Available somewhere: 61
Man is to computer programmer as woman is to homemaker? debiasing word embeddings
T Bolukbasi, KW Chang, JY Zou, V Saligrama, AT Kalai
Advances in neural information processing systems 29, 2016
Mandates: US National Science Foundation
Adaptive neural networks for efficient inference
T Bolukbasi, J Wang, O Dekel, V Saligrama
International Conference on Machine Learning, 527-536, 2017
Mandates: US National Science Foundation, US Department of Defense
Prediction of hospitalization due to heart diseases by supervised learning methods
W Dai, TS Brisimi, WG Adams, T Mela, V Saligrama, IC Paschalidis
International journal of medical informatics 84 (3), 189-197, 2015
Mandates: US National Institutes of Health
Unique contributions of parvalbumin and cholinergic interneurons in organizing striatal networks during movement
HJ Gritton, WM Howe, MF Romano, AG DiFeliceantonio, MA Kramer, ...
Nature neuroscience 22 (4), 586-597, 2019
Mandates: US National Institutes of Health
Zero shot detection
P Zhu, H Wang, V Saligrama
IEEE Transactions on Circuits and Systems for Video Technology 30 (4), 998-1010, 2019
Mandates: US Department of Defense
Generalized zero-shot recognition based on visually semantic embedding
P Zhu, H Wang, V Saligrama
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Mandates: US Department of Defense
Pruning random forests for prediction on a budget
F Nan, J Wang, V Saligrama
Advances in neural information processing systems 29, 2016
Mandates: US National Science Foundation
Don't even look once: Synthesizing features for zero-shot detection
P Zhu, H Wang, V Saligrama
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Mandates: US National Science Foundation, US Department of Defense
Adaptive classification for prediction under a budget
F Nan, V Saligrama
Advances in neural information processing systems 30, 2017
Mandates: US National Science Foundation, US Department of Defense
Sparse signal processing with linear and nonlinear observations: A unified Shannon-theoretic approach
C Aksoylar, GK Atia, V Saligrama
IEEE Transactions on Information Theory 63 (2), 749-776, 2016
Mandates: US National Science Foundation
Debiasing model updates for improving personalized federated training
DAE Acar, Y Zhao, R Zhu, R Matas, M Mattina, P Whatmough, ...
International conference on machine learning, 21-31, 2021
Mandates: US National Science Foundation, US Department of Defense
Sequential optimization for efficient high-quality object proposal generation
Z Zhang, Y Liu, X Chen, Y Zhu, MM Cheng, V Saligrama, PHS Torr
IEEE transactions on pattern analysis and machine intelligence 40 (5), 1209-1223, 2017
Mandates: US National Science Foundation, US Department of Defense, UK Engineering and …
Rnns incrementally evolving on an equilibrium manifold: A panacea for vanishing and exploding gradients?
A Kag, Z Zhang, V Saligrama
International Conference on Learning Representations, 2020
Mandates: US National Science Foundation, US Department of Defense
Selective classification via one-sided prediction
A Gangrade, A Kag, V Saligrama
International Conference on Artificial Intelligence and Statistics, 2179-2187, 2021
Mandates: US National Science Foundation, US Department of Defense
Person re-identification via structured prediction
Z Zhang, V Saligrama
IEEE Transactions on Circuits and Systems for Video Technology, 2017
Mandates: US Department of Defense
Training recurrent neural networks via forward propagation through time
A Kag, V Saligrama
International Conference on Machine Learning, 5189-5200, 2021
Mandates: US National Science Foundation, US Department of Defense
Remember the curse of dimensionality: The case of goodness-of-fit testing in arbitrary dimension
E Arias-Castro, B Pelletier, V Saligrama
Journal of Nonparametric Statistics 30 (2), 448-471, 2018
Mandates: US National Science Foundation
Federated learning based on dynamic regularization
AE Durmus, Z Yue, M Ramon, M Matthew, W Paul, S Venkatesh
International conference on learning representations, 2021
Mandates: US National Science Foundation
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