E-LIB Suche - Ergebnisse für: Subedar, Mahesh

1

Quantization for Bayesian Deep Learning: Low-Precision Char..:

, In: 2023 IEEE International Symposium on Workload Characterization (IISWC),

Lin, Jun-Liang ; Krishnan, Ranganath ; Ranipa, Keyur Ruganathbhai... - p. 180-192 , 2023

Link: https://doi.org/10.1109/..

2

DOSA: Differentiable Model-Based One-Loop Search for DNN Ac..:

, In: Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture,

Hong, Charles ; Huang, Qijing ; Dinh, Grace.. - p. 209-224 , 2023

Link: https://dl.acm.org/doi/1..

3

Learning A Continuous and Reconstructible Latent Space for ..:

, In: 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS),

Huang, Qijing ; Hong, Charles ; Wawrzynek, John.. - p. 277-287 , 2022

Link: https://doi.org/10.1109/..

4

Uncertainty-Aware Audiovisual Activity Recognition Using De..:

, In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV),

Subedar, Mahesh ; Krishnan, Ranganath ; Meyer, Paulo Lopez.. - p. 6300-6309 , 2019

Link: https://doi.org/10.1109/..

5

Efficient Priors for Scalable Variational Inference in Baye..:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),

Krishnan, Ranganath ; Subedar, Mahesh ; Tickoo, Omesh - p. 773-777 , 2019

Link: https://doi.org/10.1109/..

6

3D Blur Discrimination:

Subedar, Mahesh M. ; Karam, Lina J.
ACM Transactions on Applied Perception. 13 (2016) 3 - p. 1-13 , 2016

Link: https://doi.org/10.1145/..

7

3D Blur Discrimination:

Subedar, Mahesh M. ; Karam, Lina J.
ACM Transactions on Applied Perception (TAP). 13 (2016) 3 - p. 1-13 , 2016

Link: https://dl.acm.org/doi/1..

8

Data augmentation to improve robustness of image captioning..:

Bujimalla, Shashank ; Subedar, Mahesh ; Tickoo, Omesh
http://arxiv.org/abs/2106.05437. , 2021

Link: http://arxiv.org/abs/210..

9

Partially-Supervised Novel Object Captioning Leveraging Con..:

Bujimalla, Shashank ; Subedar, Mahesh ; Tickoo, Omesh
http://arxiv.org/abs/2109.05115. , 2021

Link: http://arxiv.org/abs/210..

10

Robust Contrastive Active Learning with Feature-guided Quer..:

Krishnan, Ranganath ; Ahuja, Nilesh ; Sinha, Alok...
http://arxiv.org/abs/2109.06873. , 2021

Link: http://arxiv.org/abs/210..

11

Mitigating Sampling Bias and Improving Robustness in Active..:

Krishnan, Ranganath ; Sinha, Alok ; Ahuja, Nilesh...
http://arxiv.org/abs/2109.06321. , 2021

Link: http://arxiv.org/abs/210..

12

B-SCST: Bayesian Self-Critical Sequence Training for Image ..:

Bujimalla, Shashank ; Subedar, Mahesh ; Tickoo, Omesh
http://arxiv.org/abs/2004.02435. , 2020

Link: http://arxiv.org/abs/200..

13

Specifying Weight Priors in Bayesian Deep Neural Networks w..:

Krishnan, Ranganath ; Subedar, Mahesh ; Tickoo, Omesh
http://arxiv.org/abs/1906.05323. , 2019

Link: http://arxiv.org/abs/190..

14

Deep Probabilistic Models to Detect Data Poisoning Attacks:

Subedar, Mahesh ; Ahuja, Nilesh ; Krishnan, Ranganath..
http://arxiv.org/abs/1912.01206. , 2019

Link: http://arxiv.org/abs/191..

15

Uncertainty aware audiovisual activity recognition using de..:

Subedar, Mahesh ; Krishnan, Ranganath ; Meyer, Paulo Lopez..
http://arxiv.org/abs/1811.10811. , 2018

Link: http://arxiv.org/abs/181..