Summary of Unlearnable Examples For Time Series, by Yujing Jiang et al.
Unlearnable Examples For Time Seriesby Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James BaileyFirst submitted…
Unlearnable Examples For Time Seriesby Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James BaileyFirst submitted…
Towards Neural Scaling Laws on Graphsby Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil…
Contrasting Adversarial Perturbations: The Space of Harmless Perturbationsby Lu Chen, Shaofeng Li, Benhao Huang, Fan…
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processesby Haoran Zhao, Wayne Isaac Tan UyFirst…
The Landscape and Challenges of HPC Research and LLMsby Le Chen, Nesreen K. Ahmed, Akash…
Transfer Learning in ECG Diagnosis: Is It Effective?by Cuong V. Nguyen, Cuong D.DoFirst submitted to…
Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learningby Guangfeng Yan, Tan Li, Yuanzhang…
An introduction to graphical tensor notation for mechanistic interpretabilityby Jordan K. TaylorFirst submitted to arxiv…
Enriched Physics-informed Neural Networks for Dynamic Poisson-Nernst-Planck Systemsby Xujia Huang, Fajie Wang, Benrong Zhang, Hanqing…
DoubleMLDeep: Estimation of Causal Effects with Multimodal Databy Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor…