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ORCIDVishwa Shah
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2020 – today
- 2024
[c10]Ramit Sawhney, Shrey Pandit, Vishwa Shah, Megh Thakkar, Shafiq Joty:
AdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP. NAACL-HLT (Findings) 2024: 1757-1771- [c9]Vishruth Veerendranath, Vishwa Shah, Kshitish Ghate:
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models. SemEval@NAACL 2024: 1468-1475 - [i5]Abhinav Rao, Akhila Yerukola, Vishwa Shah, Katharina Reinecke, Maarten Sap:
NORMAD: A Benchmark for Measuring the Cultural Adaptability of Large Language Models. CoRR abs/2404.12464 (2024) - [i4]Vishruth Veerendranath, Vishwa Shah, Kshitish Ghate:
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models. CoRR abs/2404.14355 (2024) - 2023
- [c8]James Mason, Tessa Holzmann, Jason Swope, Ashley Gerard Davies, Steve A. Chien, Joel Mueting, Tanya N. Harrison, Vishwa Shah, J. J. Walter:
Fully Automated Volcano Monitoring and Tasking with Planet SkySat Constellation: Results from a Year of Operations. IGARSS 2023: 829-832 - 2022
- [c7]Ramit Sawhney, Megh Thakkar, Vishwa Shah, Puneet Mathur, Vasu Sharma, Dinesh Manocha:
PISA: PoIncaré Saliency-Aware Interpolative Augmentation. INTERSPEECH 2022: 2663-2667 - [c6]Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan:
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy 2022: 142-154 - [i3]Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan:
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR abs/2209.08750 (2022) - 2021
- [c5]Dhvanil Sanghvi, Priya Deshpande, Suhas Shanbhogue, Vishwa Shah:
Analyzing and predicting NCAA volleyball match outcome using machine learning techniques. ICAI Workshops 2021: 99-116 - 2020
- [c4]Steve A. Chien, James Boerkoel, James Mason, Daniel Wang, Ashley Davies, Joel Mueting, Vivek Vittaldev, Vishwa Shah, Ignacio Zuleta:
Leveraging Space and Ground Assets in A Sensorweb for Scientific Monitoring: Early Results and Opportunities for the Future. IGARSS 2020: 3833-3836
2010 – 2019
- 2019
- [c3]Matthew Guzdial, Nicholas Liao, Jonathan Chen, Shao-Yu Chen, Shukan Shah, Vishwa Shah, Joshua Reno, Gillian Smith
, Mark O. Riedl:
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators. CHI 2019: 624 - [i2]Matthew Guzdial, Nicholas Liao, Jonathan Chen, Shao-Yu Chen, Shukan Shah, Vishwa Shah, Joshua Reno, Gillian Smith, Mark O. Riedl:
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators. CoRR abs/1901.06417 (2019) - 2018
- [c2]Vishwa Shah, Nicholas Liao, Matthew Guzdial, Mark O. Riedl:
Creative Invention Benchmark. ICCC 2018: 192-199 - [i1]Matthew Guzdial, Nicholas Liao, Vishwa Shah, Mark O. Riedl:
Creative Invention Benchmark. CoRR abs/1805.03720 (2018) - 2016
- [c1]Aasheesh Tandon, Vishwa Shah, Sachin Gajjar:
Emerging Applications Perspective for Internet of Things. ICTCS 2016: 115:1-115:7
Coauthor Index
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