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Inkit Padhi
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2020 – today
- 2024
- [i27]Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger
, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici:
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR abs/2403.06009 (2024) - [i26]Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney:
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR abs/2403.09704 (2024) - [i25]Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf:
Contextual Moral Value Alignment Through Context-Based Aggregation. CoRR abs/2403.12805 (2024) - [i24]Swanand Ravindra Kadhe, Farhan Ahmed, Dennis Wei, Nathalie Baracaldo, Inkit Padhi:
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs. CoRR abs/2406.11780 (2024) - [i23]Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran T. Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri:
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia. CoRR abs/2406.13805 (2024) - [i22]Manish Nagireddy, Inkit Padhi, Soumya Ghosh, Prasanna Sattigeri:
When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails. CoRR abs/2407.06323 (2024) - 2023
- [j3]Katy Ilonka Gero
, Payel Das
, Pierre L. Dognin
, Inkit Padhi, Prasanna Sattigeri, Kush R. Varshney
:
The incentive gap in data work in the era of large models. Nat. Mac. Intell. 5(6): 565-567 (2023) - [c17]Tim Draws
, Karthikeyan Natesan Ramamurthy
, Ioana Baldini
, Amit Dhurandhar
, Inkit Padhi
, Benjamin Timmermans
, Nava Tintarev
:
Explainable Cross-Topic Stance Detection for Search Results. CHIIR 2023: 221-235 - [c16]Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das:
Reprogramming Pretrained Language Models for Antibody Sequence Infilling. ICML 2023: 24398-24419 - [c15]Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy:
The Impact of Positional Encoding on Length Generalization in Transformers. NeurIPS 2023 - [i21]Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young:
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR abs/2304.10819 (2023) - [i20]Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy:
The Impact of Positional Encoding on Length Generalization in Transformers. CoRR abs/2305.19466 (2023) - 2022
- [j2]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti
, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere:
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. 73: 437-459 (2022) - [j1]Jerret Ross
, Brian Belgodere, Vijil Chenthamarakshan
, Inkit Padhi, Youssef Mroueh
, Payel Das
:
Large-scale chemical language representations capture molecular structure and properties. Nat. Mac. Intell. 4(12): 1256-1264 (2022) - [c14]Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney:
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. NeurIPS 2022 - [c13]Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young:
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) 2022: 641-644 - [i19]Matteo Manica, Joris Cadow, Dimitrios Christofidellis, Ashish Dave, Jannis Born, Dean Clarke, Yves Gaetan Nana Teukam, Samuel C. Hoffman, Matthew Buchan
, Vijil Chenthamarakshan, Timothy Donovan, Hsiang-Han Hsu, Federico Zipoli, Oliver Schilter, Giorgio Giannone, Akihiro Kishimoto, Lisa Hamada, Inkit Padhi, Karl Wehden, Lauren McHugh, Alexy Khrabrov, Payel Das, Seiji Takeda, John R. Smith:
GT4SD: Generative Toolkit for Scientific Discovery. CoRR abs/2207.03928 (2022) - [i18]Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti
, Jarret Ross, Yair Schiff, Richard A. Young:
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR abs/2208.06665 (2022) - [i17]Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das:
Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling. CoRR abs/2210.07144 (2022) - [i16]Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney:
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. CoRR abs/2212.06803 (2022) - 2021
- [c12]Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha:
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. AAAI 2021: 13516-13524 - [c11]Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das:
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. EMNLP (1) 2021: 1084-1099 - [c10]Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti
, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman:
Tabular Transformers for Modeling Multivariate Time Series. ICASSP 2021: 3565-3569 - [i15]Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das:
Do Large Scale Molecular Language Representations Capture Important Structural Information? CoRR abs/2106.09553 (2021) - [i14]Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das:
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. CoRR abs/2108.12472 (2021) - 2020
- [c9]Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das:
Learning Implicit Text Generation via Feature Matching. ACL 2020: 3855-3863 - [c8]Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das:
DualTKB: A Dual Learning Bridge between Text and Knowledge Base. EMNLP (1) 2020: 8605-8616 - [c7]Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic:
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS 2020 - [i13]Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic:
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. CoRR abs/2004.01215 (2020) - [i12]Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das:
Learning Implicit Text Generation via Feature Matching. CoRR abs/2005.03588 (2020) - [i11]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) - [i10]Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das:
DualTKB: A Dual Learning Bridge between Text and Knowledge Base. CoRR abs/2010.14660 (2020) - [i9]Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman:
Tabular Transformers for Modeling Multivariate Time Series. CoRR abs/2011.01843 (2020) - [i8]Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha:
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. CoRR abs/2012.04698 (2020) - [i7]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff:
Alleviating Noisy Data in Image Captioning with Cooperative Distillation. CoRR abs/2012.11691 (2020) - [i6]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere:
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR abs/2012.11696 (2020)
2010 – 2019
- 2019
- [c6]Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin:
Learning Implicit Generative Models by Matching Perceptual Features. ICCV 2019: 4460-4469 - [c5]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 - [c4]Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos:
Sobolev Independence Criterion. NeurIPS 2019: 9505-9515 - [i5]Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin:
Learning Implicit Generative Models by Matching Perceptual Features. CoRR abs/1904.02762 (2019) - [i4]Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos:
Sobolev Independence Criterion. CoRR abs/1910.14212 (2019) - 2018
- [c3]Cícero Nogueira dos Santos, Igor Melnyk, Inkit Padhi:
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer. ACL (2) 2018: 189-194 - [c2]Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith:
Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry. AIES 2018: 347-353 - [i3]Cícero Nogueira dos Santos, Igor Melnyk, Inkit Padhi:
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer. CoRR abs/1805.07685 (2018) - [i2]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) - 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) - 2016
- [c1]Xing Shi, Inkit Padhi, Kevin Knight:
Does String-Based Neural MT Learn Source Syntax? EMNLP 2016: 1526-1534
Coauthor Index
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