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Poster
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Wed 7:30
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Hyperparameter Optimization through Neural Network Partitioning
Bruno Mlodozeniec · Matthias Reisser · Christos Louizos
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Poster
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KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
Yufei Wang · Jiayi Zheng · Can Xu · Xiubo Geng · Tao Shen · Chongyang Tao · Daxin Jiang
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Workshop
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A Guide for Practical Use of ADMG Causal Data Augmentation
Audrey Poinsot · Alessandro Leite
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Poster
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Learning Multimodal Data Augmentation in Feature Space
Zichang Liu · Zhiqiang Tang · Xingjian Shi · Aston Zhang · Mu Li · Anshumali Shrivastava · Andrew Wilson
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Poster
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Wed 7:30
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Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Rundong Luo · Yifei Wang · Yisen Wang
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Affinity Workshop
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Fri 2:15
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SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data
Lukas Drews
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Affinity Workshop
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Thu 1:30
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KaggleX Talk: Deep generative models and data augmentation for detecting field boundaries for Rwandan smallholder farms by Stephane Njoki
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Poster
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Tue 7:30
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Data augmentation alone can improve adversarial training
Lin Li · Michael Spratling
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Poster
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Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang · Huangjie Zheng · Pengcheng He · Weizhu Chen · Mingyuan Zhou
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Poster
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Learning Fair Graph Representations via Automated Data Augmentations
Hongyi Ling · Zhimeng Jiang · Youzhi Luo · Shuiwang Ji · Na Zou
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Poster
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Wed 2:30
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How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping · Micah Goldblum · Gowthami Somepalli · Ravid Shwartz-Ziv · Tom Goldstein · Andrew Wilson
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Poster
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Wed 2:30
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A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
Puja Trivedi · Danai Koutra · Jayaraman J. Thiagarajan
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