Inkit Padhi
Inkit Padhi
IBM Research
Verified email at
Cited by
Cited by
Does String-Based Neural MT Learn Source Syntax?
X Shi, I Padhi, K Knight
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ...
Nature Biomedical Engineering 5 (6), 613-623, 2021
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
CN Santos, I Melnyk, I Padhi
Proceedings of ACL 2018, P18-2031, 2018
Large-scale chemical language representations capture molecular structure and properties
J Ross, B Belgodere, V Chenthamarakshan, I Padhi, Y Mroueh, P Das
Nature Machine Intelligence 4 (12), 1256-1264, 2022
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
N Madaan, I Padhi, N Panwar, D Saha
Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 2020
Cogmol: Target-specific and selective drug design for covid-19 using deep generative models
V Chenthamarakshan, P Das, S Hoffman, H Strobelt, I Padhi, KW Lim, ...
Advances in Neural Information Processing Systems 33, 2020
Tabular Transformers for Modeling Multivariate Time Series
I Padhi, Y Schiff, I Melnyk, M Rigotti, Y Mroueh, P Dognin, J Ross, R Nair, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, I Padhi, ...
arXiv preprint arXiv:1810.07743, 2018
The impact of positional encoding on length generalization in transformers
A Kazemnejad, I Padhi, K Natesan Ramamurthy, P Das, S Reddy
Advances in Neural Information Processing Systems 36, 2024
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff, ...
Journal of Artificial Intelligence Research 73, 437-459, 2022
Improved Neural Text Attribute Transfer with Non-parallel Data
I Melnyk, CN Santos, K Wadhawan, I Padhi, A Kumar
NIPS 2017 Workshop on Learning Disentangled Representations: from Perception …, 2017
Fair infinitesimal jackknife: Mitigating the influence of biased training data points without refitting
P Sattigeri, S Ghosh, I Padhi, P Dognin, KR Varshney
Advances in Neural Information Processing Systems 35, 35894-35906, 2022
Learning Implicit Generative Models by Matching Perceptual Features
CN Santos, Y Mroueh, I Padhi, P Dognin
Proceedings of the IEEE International Conference on Computer Vision, 4461-4470, 2019
Adversarial training data augmentation data for text classifiers
M Tan, R Wang, I Padhi, S Potdar
US Patent 11,093,707, 2021
Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim
V Chenthamarakshan
arXiv preprint arXiv:2004.01215, 2020
Reprogramming pretrained language models for antibody sequence infilling
I Melnyk, V Chenthamarakshan, PY Chen, P Das, A Dhurandhar, I Padhi, ...
International Conference on Machine Learning, 24398-24419, 2023
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
PL Dognin, I Padhi, I Melnyk, P Das
arXiv preprint arXiv:2108.12472, 2021
Do large scale molecular language representations capture important structural information
J Ross, B Belgodere, V Chenthamarakshan, I Padhi, Y Mroueh, P Das
arXiv preprint arXiv:2106.09553, 2021
DualTKB: A Dual Learning Bridge between Text and Knowledge Base
PL Dognin, I Melnyk, I Padhi, CN Santos, P Das
EMNLP 2020, 2020
Explainable cross-topic stance detection for search results
T Draws, K Natesan Ramamurthy, I Baldini, A Dhurandhar, I Padhi, ...
Proceedings of the 2023 Conference on Human Information Interaction and …, 2023
The system can't perform the operation now. Try again later.
Articles 1–20