🧑‍🔬 Abhishek Gupta

🏛️ Affiliations

🔬Chitwan Medical CollegeBharatpur · Nepal2021–2026 · 26 papersEmployment since 2021 · Assistant Professor and Incharge, Oral Medicine and RadiologyEmployment since 2025 · Associate Professor and Head, Oral Medicine and Radiologycurrent🎓University of California, BerkeleyBerkeley · United States2015–2023 · 19 papers🎓University of MumbaiMumbai · India2021–2023 · 10 papers🎓All India Institute of Medical SciencesNew Delhi · India1988–2024 · 9 papers🏥Subharti Medical CollegeMeerut · India2012–2021 · 9 papers🏢MicrosoftRedmond · United States2020 · 8 papers🔬Sardar Swaran Singh National Institute of Bio-EnergyKapurthala Town · India2013–2014 · 8 papers🎓All India Institute of Medical Sciences, KalyaniKalyani · India2022–2025 · 7 papers🏥All India Institute of Medical Sciences, PatnaPatna · India2021–2022 · 6 papers🎓University of WashingtonSeattle · United States2013–2024 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 97 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Gradient Surgery for Multi-Task Learning (2020 · 233 citations)
   Training one network on many tasks should save data, but joint optimization often does worse than separately trained models, and the reason is unclear.
2. Diversity is All You Need: Learning Skills without a Reward Function (2018 · 145 citations)
   The paper asks whether a reinforcement learning agent can acquire a repertoire of useful behaviours before it is ever given a task reward.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Learning modular neural network policies for multi-task and multi-robot transfer ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetColine Devin et al.2017 · 328 citations
2. Gradient Surgery for Multi-Task LearningarXiv:2001.06782Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.2020 · 233 citations
3. Diversity is All You Need: Learning Skills without a Reward FunctionarXiv:1802.06070Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, et al.2018 · 145 citations
4. Teachable Reinforcement Learning via Advice Distillation ↗arXiv (Cornell University) · no summary yetOlivia Watkins et al.2022

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Sergey Levine ×2
• Chelsea Finn
• Karol Hausman

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

🔗 Cited by

Papers of our library cite their works 212 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated 2 November 2026

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