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2020 – today
- 2024
[i9]Elysia Shi, Adithri Manda, London Chowdhury, Runeema Arun, Kevin Zhu, Michael Lam:
Enhancing Depression Diagnosis with Chain-of-Thought Prompting. CoRR abs/2408.14053 (2024)- [i8]Samir Kassam, Angelo Markham, Katie Vo, Yashas Revanakara, Michael Lam, Kevin Zhu:
Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection. CoRR abs/2408.14847 (2024) - [i7]Patricia Dao, Jashmitha Sappa, Saanvi Terala, Tyson Wong, Michael Lam, Kevin Zhu:
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors. CoRR abs/2409.00640 (2024) - [i6]William Cagas, Chan Ko, Blake Hsiao, Shryuk Grandhi, Rishi Bhattacharya, Kevin Zhu, Michael Lam:
Medical Imaging Complexity and its Effects on GAN Performance. CoRR abs/2410.17959 (2024) - [i5]Ray Li, Tanishka Bagade, Kevin Martinez, Flora Yasmin, Grant Ayala, Michael Lam, Kevin Zhu:
A Debate-Driven Experiment on LLM Hallucinations and Accuracy. CoRR abs/2410.19485 (2024) - [i4]Shrey Shah, Alex Lin, Scott Lin, Josh Patel, Michael Lam, Kevin Zhu:
Turkey's Earthquakes: Damage Prediction and Feature Significance Using A Multivariate Analysis. CoRR abs/2411.08903 (2024) - 2021
- [j1]Yusha Liu, Keith A. Baggerly, Elias Orouji
, Ganiraju Manyam, Huiqin Chen, Michael Lam, Jennifer S. Davis, Michael S. Lee, Bradley M. Broom, David G. Menter, Kunal Rai, Scott Kopetz, Jeffrey S. Morris:
Methylation-eQTL analysis in cancer research. Bioinform. 37(22): 4014-4022 (2021) - 2020
- [c7]Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. ICLR 2020 - [i3]Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. CoRR abs/2002.11770 (2020)
2010 – 2019
- 2019
- [c6]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. ICCV 2019: 6429-6438 - [i2]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. CoRR abs/1902.03545 (2019) - [i1]Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto:
Toward Understanding Catastrophic Forgetting in Continual Learning. CoRR abs/1908.01091 (2019) - 2017
- [c5]Behrooz Mahasseni, Michael Lam, Sinisa Todorovic:
Unsupervised Video Summarization with Adversarial LSTM Networks. CVPR 2017: 2982-2991 - [c4]Michael Lam, Behrooz Mahasseni, Sinisa Todorovic:
Fine-Grained Recognition as HSnet Search for Informative Image Parts. CVPR 2017: 6497-6506 - 2015
- [c3]Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic, Thomas G. Dietterich:
ℋC-search for structured prediction in computer vision. CVPR 2015: 4923-4932 - 2013
- [c2]Michael Lam, Janardhan Rao Doppa, Xu Hu, Sinisa Todorovic, Thomas G. Dietterich, Abigail Reft, Marymegan Daly:
Learning to Detect Basal Tubules of Nematocysts in SEM Images. ICCV Workshops 2013: 190-196 - [c1]Xu Hu, Michael Lam, Sinisa Todorovic, Thomas G. Dietterich, Maureen A. OLeary, Andrea L. Cirranello, Nancy B. Simmons, Paúl M. Velazco:
Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls. ICCV Workshops 2013: 203-209
Coauthor Index
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