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Prasanna Sattigeri
Prasanna Sattigeri
IBM Research AI, MIT-IBM Watson AI Lab
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
IBM Journal of Research and Development 63 (4/5), 4: 1-4: 15, 2019
13872019
Variational inference of disentangled latent concepts from unlabeled observations
A Kumar, P Sattigeri, A Balakrishnan
International Conference on Learning Representations (ICLR), 2018
5242018
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
arXiv preprint arXiv:1909.03012, 2019
4162019
Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty
U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, G Melançon, ...
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 401-413, 2021
2202021
Co-regularized alignment for unsupervised domain adaptation
A Kumar, P Sattigeri, K Wadhawan, L Karlinsky, R Feris, B Freeman, ...
Advances in neural information processing systems 31, 2018
1912018
Semi-supervised learning with gans: Manifold invariance with improved inference
A Kumar, P Sattigeri, T Fletcher
Advances in neural information processing systems 30, 2017
1832017
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network
P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney
IBM Journal of Research and Development 63 (4/5), 3: 1-3: 9, 2019
1532019
Ar-net: Adaptive frame resolution for efficient action recognition
Y Meng, CC Lin, R Panda, P Sattigeri, L Karlinsky, A Oliva, K Saenko, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1442020
Ai explainability 360 toolkit
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021
862021
Tafssl: Task-adaptive feature sub-space learning for few-shot classification
M Lichtenstein, P Sattigeri, R Feris, R Giryes, L Karlinsky
European Conference on Computer Vision, 522-539, 2020
832020
Fairness of classifiers across skin tones in dermatology
NM Kinyanjui, T Odonga, C Cintas, NCF Codella, R Panda, P Sattigeri, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
812020
Treeview: Peeking into deep neural networks via feature-space partitioning
JJ Thiagarajan, B Kailkhura, P Sattigeri, KN Ramamurthy
arXiv preprint arXiv:1611.07429, 2016
672016
Adafuse: Adaptive temporal fusion network for efficient action recognition
Y Meng, R Panda, CC Lin, P Sattigeri, L Karlinsky, K Saenko, A Oliva, ...
arXiv preprint arXiv:2102.05775, 2021
642021
One explanation does not fit all: a toolkit and taxonomy of AI explainability techniques (2019)
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
URL https://arxiv. org/abs, 1909
641909
Fairness gan
P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney
arXiv preprint arXiv:1805.09910, 2018
632018
OnlineAugment: Online data augmentation with less domain knowledge
Z Tang, Y Gao, L Karlinsky, P Sattigeri, R Feris, D Metaxas
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
622020
Optimizing kernel machines using deep learning
H Song, JJ Thiagarajan, P Sattigeri, A Spanias
IEEE transactions on neural networks and learning systems 29 (11), 5528-5540, 2018
622018
Understanding unequal gender classification accuracy from face images
V Muthukumar, T Pedapati, N Ratha, P Sattigeri, CW Wu, B Kingsbury, ...
arXiv preprint arXiv:1812.00099, 2018
552018
Optimizing mode connectivity via neuron alignment
N Tatro, PY Chen, P Das, I Melnyk, P Sattigeri, R Lai
Advances in Neural Information Processing Systems 33, 15300-15311, 2020
542020
Estimating skin tone and effects on classification performance in dermatology datasets
NM Kinyanjui, T Odonga, C Cintas, NCF Codella, R Panda, P Sattigeri, ...
arXiv preprint arXiv:1910.13268, 2019
502019
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