Michael Lam

According to our database, Michael Lam authored at least 14 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Debate-Driven Experiment on LLM Hallucinations and Accuracy.

Ray Li, Tanishka Bagade, Kevin Martinez, Flora Yasmin, Grant Ayala, Michael Lam, Kevin Zhu

CoRR, 2024

Medical Imaging Complexity and its Effects on GAN Performance.

William Cagas, Chan Ko, Blake Hsiao, Shryuk Grandhi, Rishi Bhattacharya, Kevin Zhu, Michael Lam

CoRR, 2024

Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors.

Patricia Dao, Jashmitha Sappa, Saanvi Terala, Tyson Wong, Michael Lam, Kevin Zhu

CoRR, 2024

Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection.

Samir Kassam, Angelo Markham, Katie Vo, Yashas Revanakara, Michael Lam, Kevin Zhu

CoRR, 2024

Enhancing Depression Diagnosis with Chain-of-Thought Prompting.

Elysia Shi, Adithri Manda, London Chowdhury, Runeema Arun, Kevin Zhu, Michael Lam

CoRR, 2024

2021

Methylation-eQTL analysis in cancer research.

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

Bioinform., November, 2021

2020

Rethinking the Hyperparameters for Fine-tuning.

Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Toward Understanding Catastrophic Forgetting in Continual Learning.

Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto

CoRR, 2019

Task2Vec: Task Embedding for Meta-Learning.

Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

Unsupervised Video Summarization with Adversarial LSTM Networks.

Behrooz Mahasseni, Michael Lam, Sinisa Todorovic

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Fine-Grained Recognition as HSnet Search for Informative Image Parts.

Michael Lam, Behrooz Mahasseni, Sinisa Todorovic

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

ℋC-search for structured prediction in computer vision.

Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic, Thomas G. Dietterich

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

Learning to Detect Basal Tubules of Nematocysts in SEM Images.

Michael Lam, Janardhan Rao Doppa, Xu Hu, Sinisa Todorovic, Thomas G. Dietterich, Abigail Reft, Marymegan Daly

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls.

Xu Hu, Michael Lam, Sinisa Todorovic, Thomas G. Dietterich, Maureen A. OLeary, Andrea L. Cirranello, Nancy B. Simmons, Paúl M. Velazco

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013