|
Affinity Workshop
|
|
Ensemble of CNN Models for Tuberculosis Diagnosis
|
|
|
Workshop
|
|
Quantifying Uncertainty in Foundation Models via Ensembles
Meiqi Sun · Wilson Yan · Pieter Abbeel · Igor Mordatch
|
|
|
Poster
|
Tue 14:00
|
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit · Huan Wang · Yingbo Zhou · Caiming Xiong
|
|
|
Poster
|
Thu 9:00
|
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding · Lingxiao Zhao · Leman Akoglu
|
|
|
Workshop
|
|
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness
Sumegha Premchandar · Sanket Jantre · Prasanna Balaprakash · Sandeep Madireddy
|
|
|
Poster
|
Tue 9:00
|
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
Alex Chan · Mihaela van der Schaar
|
|
|
Poster
|
|
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
Xinyun Zhu · Yu Qi · Gang Pan · Yueming Wang
|
|
|
Poster
|
Thu 9:00
|
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack
yunrui yu · Xitong Gao · Cheng-Zhong Xu
|
|
|
Affinity Workshop
|
|
Development of a Model to Classify Skin Diseases using Ensemble Machine Learning Techniques
Oluwayemisi Jaiyeoba · Temitope Owolabi · Emeka Ogbuju
|
|
|
Affinity Workshop
|
|
Pre-operative glioma grade prediction from multi-modal MR images based on an ensemble of deep learning models
Abdela Ahmed Mossa · Ulus Cevik · Mohammed Hussen Billal
|
|
|
Poster
|
Tue 14:00
|
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness
Sen Cui · Jingfeng ZHANG · Jian Liang · Bo Han · Masashi Sugiyama · Changshui Zhang
|
|
|
Poster
|
Thu 9:00
|
Single Model Uncertainty Estimation via Stochastic Data Centering
Jayaraman Thiagarajan · Rushil Anirudh · Vivek Sivaraman Narayanaswamy · Timo Bremer
|
|
