|
Poster
|
|
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Ziyi Wang · Xumin Yu · Yongming Rao · Jie Zhou · Jiwen Lu
|
|
|
Workshop
|
Fri 9:00
|
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
Zifan Liu · Evan Rosen · Paul Suganthan
|
|
|
Workshop
|
|
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
Zifan Liu · Evan Rosen · Paul Suganthan
|
|
|
Workshop
|
|
Analysis of the Attention in Tabular Language Models
Aneta Koleva · Martin Ringsquandl · Volker Tresp
|
|
|
Poster
|
Wed 9:00
|
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Chantry · Shruti Vyas · Hamid Palangi · Yogesh Rawat · Vibhav Vineet
|
|
|
Workshop
|
Fri 7:30
|
Analysis of the Attention in Tabular Language Models
Aneta Koleva · Martin Ringsquandl · Volker Tresp
|
|
|
Poster
|
Thu 9:00
|
Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
Jianhao Ma · Salar Fattahi
|
|
|
Poster
|
Tue 9:00
|
Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
|
|
|
Workshop
|
|
Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks
Samuel Leventhal · Attila Gyulassy · Valerio Pascucci · Mark Heimann
|
|
|
Workshop
|
|
APPRAISE: ranking engineered proteins by target binding propensity using pair-wise, competitive structure modeling and physics-informed analysis
Xiaozhe Ding · Xinhong Chen · Erin Sullivan · Tim Miles · Viviana Gradinaru
|
|
|
Poster
|
Tue 9:00
|
Learning single-index models with shallow neural networks
Alberto Bietti · Joan Bruna · Clayton Sanford · Min Jae Song
|
|
|
Poster
|
Wed 9:00
|
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Konstantin Schürholt · Diyar Taskiran · Boris Knyazev · Xavier Giró-i-Nieto · Damian Borth
|
|
