Scholar
Marc T. Law
Google Scholar ID: _7QgnUcAAAAJ
Research Scientist at NVIDIA
Citations & Impact
Citations
1,190
H-index
17
i10-index
22
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published numerous papers at top-tier venues including NeurIPS, ICLR, CVPR, ICCV, ICML, and TMLR, such as:
- “Ultrahyperbolic Neural Networks” (NeurIPS 2021)
- “Ultrahyperbolic Representation Learning” (NeurIPS 2020)
- “A Theoretical Analysis of the Number of Shots in Few-Shot Learning” (ICLR 2020)
- “Spacetime Representation Learning” (ICLR 2023)
- “How Much More Data Do I Need? Estimating Requirements for Downstream Tasks” (CVPR 2022)
- “Domain Adversarial Training: A Game Perspective” (ICLR 2022)
- “Low-Budget Active Learning via Wasserstein Distance” (ICLR 2022)
- “f-Domain Adversarial Learning: Theory and Algorithms” (ICML 2021)
- “Self-Supervised Real-to-Sim Scene Generation” (ICCV 2021)
- “Video Face Clustering with Unknown Number of Clusters” (ICCV 2019)
- “Optimizing Data Collection for Machine Learning” (NeurIPS 2022)
- “Bridging the Sim2Real gap with CARE” (TMLR 2023)
Co-authors