Erik Kruus

According to our database, Erik Kruus authored at least 14 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers.

Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning.

Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving neural network robustness through neighborhood preserving layers.

Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus

Image Vis. Comput., 2022

T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling.

Yiren Jian, Erik Kruus, Martin Renqiang Min

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Fast Few-shot Debugging for NLU Test Suites.

Christopher Malon, Kai Li, Erik Kruus

Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

2021

SplitBrain: Hybrid Data and Model Parallel Deep Learning.

Farley Lai, Asim Kadav, Erik Kruus

CoRR, 2021

Towards Robustness of Deep Neural Networks via Regularization.

Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Austere Flash Caching with Deduplication and Compression.

Qiuping Wang, Jinhong Li, Wen Xia, Erik Kruus, Biplob Debnath, Patrick P. C. Lee

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

2018

Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.

Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus

CoRR, 2018

2016

ASAP: Asynchronous Approximate Data-Parallel Computation.

Asim Kadav, Erik Kruus

CoRR, 2016

2015

MALT: distributed data-parallelism for existing ML applications.

Hao Li, Asim Kadav, Erik Kruus, Cristian Ungureanu

Proceedings of the Tenth European Conference on Computer Systems, 2015

2011

EEffSim: A discrete event simulator for energy efficiency in large-scale storage systems.

Ramya Prabhakar, Erik Kruus, Guanlin Lu, Cristian Ungureanu

Proceedings of the International Conference on Energy Aware Computing, 2011

2010

Bimodal Content Defined Chunking for Backup Streams.

Erik Kruus, Cristian Ungureanu, Cezary Dubnicki

Proceedings of the 8th USENIX Conference on File and Storage Technologies, 2010

2009

Static data race detection for concurrent programs with asynchronous calls.

Vineet Kahlon, Nishant Sinha, Erik Kruus, Yun Zhang

Proceedings of the 7th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2009