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Kahini Wadhawan
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2020 – today
- 2023
- [c5]Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta:
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. ACL (Findings) 2023: 11344-11358 - [i11]Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta:
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. CoRR abs/2306.00374 (2023) - [i10]Rahul Madhavan, Kahini Wadhawan:
Causal ATE Mitigates Unintended Bias in Controlled Text Generation. CoRR abs/2311.11229 (2023) - 2022
- [j1]Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan
, Pin-Yu Chen
Optimizing molecules using efficient queries from property evaluations. Nat. Mach. Intell. 4(1): 21-31 (2022) - [i9]Samuel C. Hoffman, Kahini Wadhawan, Payel Das, Prasanna Sattigeri, Karthikeyan Shanmugam:
Causal Graphs Underlying Generative Models: Path to Learning with Limited Data. CoRR abs/2207.07174 (2022) - 2021
- [i8]Kahini Wadhawan, Payel Das, Barbara A. Han, Ilya R. Fischhoff, Adrian C. Castellanos, Arvind Varsani, Kush R. Varshney:
Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention. CoRR abs/2108.08077 (2021) - 2020
- [c4]Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan:
Effects of Naturalistic Variation in Goal-Oriented Dialog. EMNLP (Findings) 2020: 4013-4020 - [i7]Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic:
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR abs/2005.11248 (2020) - [i6]Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan:
Effects of Naturalistic Variation in Goal-Oriented Dialog. CoRR abs/2010.02260 (2020) - [i5]Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das:
Optimizing Molecules using Efficient Queries from Property Evaluations. CoRR abs/2011.01921 (2020)
2010 – 2019
- 2019
- [c3]Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan:
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. DGS@ICLR 2019 - [c2]Gil Halevi, Kahini Wadhawan
Text Style Transfer Using Partly-Shared Decoder. ICTAI 2019: 1563-1567 - 2018
- [c1]Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, Bill Freeman, Gregory W. Wornell:
Co-regularized Alignment for Unsupervised Domain Adaptation. NeurIPS 2018: 9367-9378 - [i4]Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic:
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. CoRR abs/1810.07743 (2018) - [i3]Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, William T. Freeman, Gregory W. Wornell:
Co-regularized Alignment for Unsupervised Domain Adaptation. CoRR abs/1811.05443 (2018) - 2017
- [i2]Cícero Nogueira dos Santos, Kahini Wadhawan, Bowen Zhou:
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks. CoRR abs/1707.02198 (2017) - [i1]Igor Melnyk, Cícero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar:
Improved Neural Text Attribute Transfer with Non-parallel Data. CoRR abs/1711.09395 (2017)
Coauthor Index
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