|
Workshop
|
Fri 13:00
|
Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG
Harlin Lee · Aaqib Saeed
|
|
|
Poster
|
|
TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models
Huibin Ge · Xiaohu Zhao · Chuang Liu · Yulong Zeng · Qun Liu · Deyi Xiong
|
|
|
Poster
|
Wed 9:00
|
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang · Jimeng Sun
|
|
|
Workshop
|
|
Simulation-Based Parallel Training
Lucas Meyer · Alejandro Ribes · Bruno Raffin
|
|
|
Workshop
|
Fri 12:15
|
Towards Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning
David Vos · Till Döhmen · Sebastian Schelter
|
|
|
Workshop
|
|
Towards Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning
David Vos · Till Döhmen · Sebastian Schelter
|
|
|
Poster
|
Wed 14:00
|
Global Optimal K-Medoids Clustering of One Million Samples
Jiayang Ren · Kaixun Hua · Yankai Cao
|
|
|
Poster
|
Tue 9:00
|
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Keyu Duan · Zirui Liu · Peihao Wang · Wenqing Zheng · Kaixiong Zhou · Tianlong Chen · Xia Hu · Zhangyang Wang
|
|
|
Workshop
|
|
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics
Maya Pavlova · Tia Tuinstra · Hossein Aboutalebi · Andy Zhao · Hayden Gunraj · Alexander Wong
|
|
|
Poster
|
Wed 9:00
|
Large-Scale Differentiable Causal Discovery of Factor Graphs
Romain Lopez · Jan-Christian Huetter · Jonathan Pritchard · Aviv Regev
|
|
|
Workshop
|
|
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images
Hayden Gunraj · Tia Tuinstra · Alexander Wong
|
|
|
Poster
|
|
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
Chang Chen · Min Li · Zhihua Wu · Dianhai Yu · Chao Yang
|
|
