Kahini Wadhawan
Kahini Wadhawan
Research Software Engineer, AI Foundations, IBM Research, NY
E-mail confirmado em ibm.com
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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, 9345-9356, 2018
492018
Learning loss functions for semi-supervised learning via discriminative adversarial networks
CN Santos, K Wadhawan, B Zhou
arXiv preprint arXiv:1707.02198, 2017
192017
Improved neural text attribute transfer with non-parallel data
I Melnyk, CN Santos, K Wadhawan, I Padhi, A Kumar
arXiv preprint arXiv:1711.09395, 2017
152017
Pepcvae: Semi-supervised targeted design of antimicrobial peptide sequences
P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, ...
arXiv preprint arXiv:1810.07743, 2018
42018
Investigation of Word Representation Methods for Biomedical Domain
K Wadhawan
University of Colorado at Boulder, 2016
12016
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics
P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ...
arXiv preprint arXiv:2005.11248, 2020
2020
Unsupervised text style transfer system for improved online social media experience
I Melnyk, CN dos Santos, I Padhi, K Wadhawan, A Kumar
US Patent App. 16/151,620, 2020
2020
Text Style Transfer Using Partly-Shared Decoder
G Halevi, K Wadhawan
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
2019
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection
T Sercu, S Gehrmann, H Strobelt, P Das, I Padhi, C Dos Santos, ...
2019
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks
C Nogueira dos Santos, K Wadhawan, B Zhou
arXiv, arXiv: 1707.02198, 2017
2017
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