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Paper Readings Workshop (Spring 2024)

Students may choose to complete this assignment individually or in teams of two. Each team will select a research paper from the list of papers below and prepare a presentation (maximum of 20 minutes) for the class. The presentation should demonstrate a thorough understanding of the chosen paper, highlighting key findings and technical concepts that connect to the topics covered in this course.

The final deliverable (via Gradescope) for each team is expected to be a set of slides in PDF format, focusing on the chosen topic.

Workshop

Galanti Louge, University Libraries, May 8th 12:30pm

Acknowledgement

This workshop is being sponsored by a TensorFlow and Google AI award to support machine learning courses and diversity programs.

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List of Research Papers

  • An image is worth 16x16 words: Transformers for Image Recognition at Scale
  • Masked Autoencoders Are Scalable Vision Learners
  • A ConvNet for the 2020s
  • Gradient Descent: The Ultimate Optimizer
  • GradMax: Growing Neural Networks using Gradient Information
  • Segment Anything
  • Improving Text Embeddings with Large Language Models
  • Memory-Efficient LLM Training by Gradient Low-Rank Projection
  • Llama 2: Open Foundation and Fine-Tuned Chat Models
  • Self-Rewarding Language Models
  • Generative Agents: Interactive Simulacra of Human Behavior

Assessment

TBA