Michael Lam

20 papers A* 5Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction.
CoRR
Vivaan Sandwar, Bhav Jain, Rishan Thangaraj, Ishaan Garg, Michael Lam, Kevin Zhu
2024 J jnl
A Debate-Driven Experiment on LLM Hallucinations and Accuracy.
CoRR
Ray Li, Tanishka Bagade, Kevin Martinez, Flora Yasmin, Grant Ayala, Michael Lam, Kevin Zhu
2024 J jnl
Enhancing Depression Diagnosis with Chain-of-Thought Prompting.
CoRR
Elysia Shi, Adithri Manda, London Chowdhury, Runeema Arun, Kevin Zhu, Michael Lam
2024 J jnl
Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting.
CoRR
Vijay Goyal, Mustafa Khan, Aprameya Tirupati, Harveer Saini, Michael Lam, Kevin Zhu
2024 J jnl
Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection.
CoRR
Samir Kassam, Angelo Markham, Katie Vo, Yashas Revanakara, Michael Lam, Kevin Zhu
2024 — conf
Medical Imaging Complexity and Its Effects on GAN Performance.
ACCV Workshops (1)
William Cagas, Chan Ko, Blake Hsiao, Shryuk Grandhi, Rishi Bhattacharya, Kevin Zhu, Michael Lam
2024 J jnl
Medical Imaging Complexity and its Effects on GAN Performance.
CoRR
William Cagas, Chan Ko, Blake Hsiao, Shryuk Grandhi, Rishi Bhattacharya, Kevin Zhu, Michael Lam
2024 J jnl
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors.
CoRR
Patricia Dao, Jashmitha Sappa, Saanvi Terala, Tyson Wong, Michael Lam, Kevin Zhu
2024 J jnl
Turkey's Earthquakes: Damage Prediction and Feature Significance Using A Multivariate Analysis.
CoRR
Shrey Shah, Alex Lin, Scott Lin, Josh Patel, Michael Lam, Kevin Zhu
2021 J jnl
Methylation-eQTL analysis in cancer research.
Bioinform.
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
2020 A* conf
Rethinking the Hyperparameters for Fine-tuning.
ICLR
Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020 J jnl
Rethinking the Hyperparameters for Fine-tuning.
CoRR
Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2019 A* conf
Task2Vec: Task Embedding for Meta-Learning.
ICCV
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
2019 J jnl
Task2Vec: Task Embedding for Meta-Learning.
CoRR
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
2019 J jnl
Toward Understanding Catastrophic Forgetting in Continual Learning.
CoRR
Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto
2017 A* conf
Fine-Grained Recognition as HSnet Search for Informative Image Parts.
CVPR
Michael Lam, Behrooz Mahasseni, Sinisa Todorovic
2017 A* conf
Unsupervised Video Summarization with Adversarial LSTM Networks.
CVPR
Behrooz Mahasseni, Michael Lam, Sinisa Todorovic
2015 A* conf
ℋC-search for structured prediction in computer vision.
CVPR
Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic, Thomas G. Dietterich
2013 — conf
Learning to Detect Basal Tubules of Nematocysts in SEM Images.
ICCV Workshops
Michael Lam, Janardhan Rao Doppa, Xu Hu, Sinisa Todorovic, Thomas G. Dietterich, Abigail Reft, Marymegan Daly
2013 — conf
Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls.
ICCV Workshops
Xu Hu, Michael Lam, Sinisa Todorovic, Thomas G. Dietterich, Maureen A. OLeary, Andrea L. Cirranello, Nancy B. Simmons, Paúl M. Velazco