Machine Learning in Health Club
The Machine Learning in Health Club (MLiHC) is a weekly seminar hosted by the Centre for Big Data Research in Health at the University of New South Wales (CBDRH, UNSW).
Our focus is on exploring state-of-the-art machine learning techniques and their application to health problems.
We aim to promote interest and interdisciplinary collaboration, as well as support capacity development in the subject.
Established in 2018, the Club welcomes anyone interested in machine learning, artificial intelligence, and health data (ML/AI + Health).
We meet every Friday from 2 pm to 3 pm AEST (Sydney time). Our meetings are hybrid, conducted both in-person at our building and online. If you would like to join and stay updated with the latest information, please subscribe to our mailing list by filling out the form.
Calendar
1-November-2024
UNSW Presentation:
Dynamic Graph Representation Learning Based on Deep Generative Models and Its Application to EHR Dataset
Ghazaleh Niknam Shirvan
Postdoctoral Researcher UNSW
18-October-2024 and 25-October-2024
Discussion on the Simons Institute presentation:
Limitations of attention mechanism, with implications in generalization and optimization
Bingbin Liu
Carnegie Mellon University
11-October-2024
Discussion on the video:
How might LLMs store facts | Chapter 7, Deep Learning
Grant Sanderson '3Blue1Brown'
Math content creator
4-October-2024
Discussion on the HuggingFace presentation:
Reinforcement Learning from Human Feedback: From Zero to chatGPT
Nathan Lambert
HuggingFace
13-September-2024
Discussion on the DeepLearningAI presentation:
Prompt-Engineering for Open-Source LLMs
Sharon Zhou
Stanford University
6-September-2024
Discussion on the University of Tübingen presentation:
Statistical learning theory: finite function classes
Prof. Dr. Ulrike von Luxburg
University of Tübingen
30-August-2024
Discussion on the University of Tübingen presentation:
Statistical learning theory: Convergence and consistency
Prof. Dr. Ulrike von Luxburg
University of Tübingen
23-August-2024
Discussion on the Simons Institute presentation:
An Observation on Generalization
Ilya Sutskever
OpenAI
16-August-2024
CBDRH Presentation:
Current challenges in digital representation of variation in cancer care
Presenter:
Ivy Cerelia Valerie, Sophia Kee
MSc Health Data Science, Centre for Big Data Research in Health (CBDRH), UNSW
9-August-2024
Presentation on the Natural article:
AI models collapse when trained on recursively generated data
Authors: Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson & Yarin Gal
Presenter:
Larry (Bokang) Bi
MSc Health Data Science, Centre for Big Data Research in Health (CBDRH), UNSW.
2-August-2024
Discussion on the EAG Boston 23 presentation:
Lessons from reinforcement learning from human feedback
Stephen Casper
PhD(c), MIT
26-July-2024
Discussion on the Simons Institute presentation:
The Platonic Representation Hypothesis
Phillip Isola
Associate professor in EECS at MIT
19-July-2024
Featured presentation:
I Bet You Did Not Mean That: Testing Semantic Importance via Betting.
Jacopo Teneggi
PhD(c), Johns Hopkins University
12-July-2024
Discussion on the Mayo Clinic presentation:
How Machine Learning Can Help Designing the Optimal Therapeutic Phage Cocktails
Cedric Lood
PhD(c), KU Leuven University-Belgium
5-July-2024
Discussion on the AI for good summit:
Keynote interview with Geoffrey Hinton (remote) and Nicholas Thompson (in-person)
AI for good summit
28-June-2024
Kirby Institute presentation:
ML gonorrhoea antibiotic resistance gene identification
Mr Andrey Verich
PhD candidate Kirby Institute
14-June-2024 21-June-2024
Discussion on the Ludwig-Maximilians-Universität München presentation:
From Machine Learning to Autonomous Intelligence
Prof. Dr. Yann LeCun.
Professor at NYU. Chief AI Scientist at Meta.
7-June-2024
Attention in transformers, visually explained
Grant Sanderson ‘3Blue1Brown‘
Math content creator, MIT lecturer.
31-May-2024
But what is a GPT? Visual intro to transformers
Grant Sanderson ‘3Blue1Brown‘
Math content creator, MIT lecturer.
10-May-2024 17-May-2024
Discussion on the Cornell Tech presentation:
“Do we need Attention? A Mamba Primer"
Dr Alexander Rush
Associate Professor, Cornell Tech.
19-Apr-2024 26-Apr-2024 3-May-2024
Discussion on the Standford MedAI presentation:
“Efficiently Modeling Long Sequences with Structured State Spaces"
Dr Albert GU
Assistant Professor, Carnegie Mellon University, Standford MedAI
12-Apr-2024
Discussion on the Cornell Tech presentation:
“Do we need Attention? A Maba Primer"
Dr Alexander Rush
Associate Professor, Cornell Tech.
5-Apr-2024
Discussion on the EMLP: Big Picture Workshop presentation:
“Is "Attention = Explanation"?"
Sarah Wiegreffe and Sarthak Jain
EMNLP: Big Picture Workshop.
22-Mar-2024
Discussion on the MLT Artifical Intelligence presentation:
“Transformers with Lucas Beyer, Google Brain"
Dr Lucas Beyer
Google Brain, Google Deepmind, MLT Artificial Intelligence.
15-Mar-2024
Discussion on the Rich Ken Kennedy Institute presentation:
“Exciting trends in machine learning"
Dr Jeff Dean
Lead of Goolge AI, Rich Ken Kennedy Institute.
8-Mar-2024
“NeurIPS Invited Talks 2”
Dr Juan Quiroz Aguilera
Research Fellow, Centre for Big Data Research in Health (CBDRH), UNSW.
1-Mar-2024
“NeurIPS Invited Talks 1”
Dr Juan Quiroz Aguilera
Research Fellow, Centre for Big Data Research in Health (CBDRH), UNSW.
23-Feb-2024
“QLoRA part 2”
Larry (Bokang) Bi
Student MSc Health Data Science, Centre for Big Data Research in Health (CBDRH), UNSW.
16-Feb-2024
“QLoRA: Efficient Finetuning of Quantized LLMs”
Larry (Bokang) Bi
Student MSc Health Data Science, Centre for Big Data Research in Health (CBDRH), UNSW.
9-Feb-2024
“Exploring Low-Rank Adaptation (LoRA): Parameter-efficient LLM finetuning”
Zhisheng (Sandy) Sa
Trainee Biostatistician, NSW Ministry of Health.
2-Feb-2024
“What is NLP”
Larry (Bokang) Bi
Student MSc Health Data Science, Centre for Big Data Research in Health (CBDRH), UNSW.
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