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ORCIDHarshvardhan Sikka
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2020 – today
- 2024
[i13]Pranav Guruprasad, Harshvardhan Sikka, Jaewoo Song, Yangyue Wang, Paul Pu Liang:
Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks. CoRR abs/2411.05821 (2024)- 2023
- [c6]Langdon Holmes
, Scott A. Crossley, Wesley Morris, Harshvardhan Sikka, Anne Trumbore:
Deidentifying Student Writing with Rules and Transformers. AIED (Posters/Late Breaking Results/...) 2023: 708-713 - [i12]Jeonghyun Lee, Vrinda Nandan, Harshvardhan Sikka, Spencer Rugaber, Ashok Goal:
Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent. CoRR abs/2308.00813 (2023) - 2022
- [c5]Ashok K. Goel, Harshvardhan Sikka, Eric Gregori:
Agent Smith: Machine Teaching for Building Question Answering Agents. AAAI Spring Symposium: MAKE 2022 - [i11]Karan Taneja, Harshvardhan Sikka, Ashok K. Goel:
A Framework for Interactive Knowledge-Aided Machine Teaching. CoRR abs/2204.10357 (2022) - [i10]Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar:
ReFace: Real-time Adversarial Attacks on Face Recognition Systems. CoRR abs/2206.04783 (2022) - [i9]Ashok K. Goel, Harshvardhan Sikka, Vrinda Nandan, Jeonghyun Lee, Matt Lisle, Spencer Rugaber:
Explanation as Question Answering based on a Task Model of the Agent's Design. CoRR abs/2206.05030 (2022) - [i8]Karan Taneja, Harshvardhan Sikka, Ashok K. Goel:
Human-AI Interaction Design in Machine Teaching. CoRR abs/2206.05182 (2022) - 2021
- [c4]Sridhar Venkatesan, Harshvardhan Sikka, Rauf Izmailov, Ritu Chadha, Alina Oprea, Michael J. De Lucia:
Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems. MILCOM 2021: 874-879 - [c3]Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh, Amr Kayid:
Investigating Learning in Deep Neural Networks Using Layer-Wise Weight Change. SAI (2) 2021: 678-693 - [c2]Sidhdharth Sikka, Harshvardhan Sikka:
A Genetic Algorithm Based Approach for Satellite Autonomy. SAI (2) 2021: 967-975 - [i7]Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh:
WeightScale: Interpreting Weight Change in Neural Networks. CoRR abs/2107.07005 (2021) - [i6]Ashok K. Goel, Harshvardhan Sikka, Eric Gregori:
Agent Smith: Teaching Question Answering to Jill Watson. CoRR abs/2112.13677 (2021) - 2020
- [i5]Harshvardhan Sikka:
A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition. CoRR abs/2005.07114 (2020) - [i4]Sahib Singh, Harshvardhan Sikka:
Benchmarking Differentially Private Residual Networks for Medical Imagery. CoRR abs/2005.13099 (2020) - [i3]Sidhdharth Sikka, Harshvardhan Sikka:
A Genetic Algorithm Based Approach for Satellite Autonomy. CoRR abs/2011.05281 (2020) - [i2]Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh, Amr Kayid:
Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change. CoRR abs/2011.06735 (2020)
2010 – 2019
- 2019
- [c1]Harshvardhan Sikka, Weishun Zhong, Jun Yin, Cengiz Pehlevan:
A Closer Look at Disentangling in β-VAE. ACSSC 2019: 888-895 - [i1]Harshvardhan Sikka, Weishun Zhong, Jun Yin, Cengiz Pehlevan:
A Closer Look at Disentangling in β-VAE. CoRR abs/1912.05127 (2019)
Coauthor Index
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