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Anahita Bhiwandiwalla
Anahita Bhiwandiwalla
Intel Corporation, Columbia University
Bestätigte E-Mail-Adresse bei intel.com
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Zitiert von
Zitiert von
Jahr
Intel ngraph: An intermediate representation, compiler, and executor for deep learning
S Cyphers, AK Bansal, A Bhiwandiwalla, J Bobba, M Brookhart, ...
arXiv preprint arXiv:1801.08058, 2018
1722018
Shifted and squeezed 8-bit floating point format for low-precision training of deep neural networks
L Cambier, A Bhiwandiwalla, T Gong, M Nekuii, OH Elibol, H Tang
arXiv preprint arXiv:2001.05674, 2020
572020
Using scene graph context to improve image generation
S Tripathi, A Bhiwandiwalla, A Bastidas, H Tang
arXiv preprint arXiv:1901.03762, 2019
342019
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
GBM Stan, RY Rohekar, Y Gurwicz, ML Olson, A Bhiwandiwalla, E Aflalo, ...
arXiv preprint arXiv:2404.03118, 2024
182024
Prediction of GNSS Phase Scintillations: A Machine Learning Approach
AB Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım ...
arXiv preprint arXiv:1910.01570, 2019
142019
Heuristics for image generation from scene graphs
S Tripathi, A Bhiwandiwalla, A Bastidas, H Tang
92019
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning. CoRR abs/1801.08058 (2018)
S Cyphers, AK Bansal, A Bhiwandiwalla, J Bobba, M Brookhart, ...
arXiv preprint arXiv:1801.08058, 2018
82018
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
P Howard, A Madasu, T Le, GL Moreno, A Bhiwandiwalla, V Lal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
62024
Intel ngraph: An intermediate representation, compiler, and executor for deep learning. ArXiv. 2018
S Cyphers, AK Bansal, A Bhiwandiwalla, J Bobba, M Brookhart, ...
arXiv preprint arXiv:1801.08058, 1801
61801
Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
P Howard, A Madasu, T Le, GL Moreno, A Bhiwandiwalla, V Lal
arXiv preprint arXiv:2312.00825, 2023
52023
Methods and apparatus for low precision training of a machine learning model
L Cambier, A Bhiwandiwalla, T Gong
US Patent App. 16/832,830, 2020
52020
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
P Howard, KC Fraser, A Bhiwandiwalla, S Kiritchenko
arXiv preprint arXiv:2405.20152, 2024
42024
Uncovering Bias in Large Vision-Language Models with Counterfactuals
P Howard, A Bhiwandiwalla, KC Fraser, S Kiritchenko
arXiv preprint arXiv:2404.00166, 2024
42024
Methods, systems, articles of manufacture and apparatus to optimize resources in edge networks
N Jain, R Poornachandran, E Nurvitadhi, A Bhiwandiwalla, JP Munoz, ...
US Patent App. 18/039,166, 2024
42024
Correlation of auroral dynamics and GNSS scintillation with an autoencoder
K Lamb, G Malhotra, A Vlontzos, E Wagstaff, AG Baydin, A Bhiwandiwalla, ...
arXiv preprint arXiv:1910.03085, 2019
42019
ManagerTower: Aggregating the insights of uni-modal experts for vision-language representation learning
X Xu, B Li, C Wu, SY Tseng, A Bhiwandiwalla, S Rosenman, V Lal, W Che, ...
arXiv preprint arXiv:2306.00103, 2023
32023
Apparatus, articles of manufacture, and methods for composable machine learning compute nodes
E Nurvitadhi, R Poornachandran, A Davare, N Jain, C Lacewell, ...
US Patent App. 17/558,284, 2022
22022
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
G Ben Melech Stan, E Aflalo, RY Rohekar, A Bhiwandiwalla, SY Tseng, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution
S Yu, BL White, A Bhiwandiwalla, M Hinck, ML Olson, T Nguyen, V Lal
arXiv preprint arXiv:2408.15993, 2024
2024
Methods and apparatus to design and test electronics using artificial intelligence
S Kundu, SN Sridhar, A Bhiwandiwalla
US Patent App. 18/620,453, 2024
2024
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