Erik Kruus

17 papers A* 3A 2Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — conf
Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers.
CVPR Workshops
Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding
2023 A* conf
Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning.
CVPR
Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min
2022 — conf
Fast Few-shot Debugging for NLU Test Suites.
DeeLIO@ACL
Christopher Malon, Kai Li, Erik Kruus
2022 J jnl
Fast Few-shot Debugging for NLU Test Suites.
CoRR
Christopher Malon, Kai Li, Erik Kruus
2022 J jnl
Improving neural network robustness through neighborhood preserving layers.
Image Vis. Comput.
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
2022 A* conf
T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling.
KDD
Yiren Jian, Erik Kruus, Martin Renqiang Min
2021 J jnl
Improving Neural Network Robustness through Neighborhood Preserving Layers.
CoRR
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
2021 J jnl
SplitBrain: Hybrid Data and Model Parallel Deep Learning.
CoRR
Farley Lai, Asim Kadav, Erik Kruus
2021 A* conf
Towards Robustness of Deep Neural Networks via Regularization.
ICCV
Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh
2020 — conf
Austere Flash Caching with Deduplication and Compression.
USENIX ATC
Qiuping Wang, Jinhong Li, Wen Xia, Erik Kruus, Biplob Debnath, Patrick P. C. Lee
2020 — conf
Improving Neural Network Robustness Through Neighborhood Preserving Layers.
ICPR Workshops (6)
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
2018 J jnl
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.
CoRR
Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus
2016 J jnl
ASAP: Asynchronous Approximate Data-Parallel Computation.
CoRR
Asim Kadav, Erik Kruus
2015 A conf
MALT: distributed data-parallelism for existing ML applications.
EuroSys
Hao Li, Asim Kadav, Erik Kruus, Cristian Ungureanu
2011 — conf
EEffSim: A discrete event simulator for energy efficiency in large-scale storage systems.
ICEAC
Ramya Prabhakar, Erik Kruus, Guanlin Lu, Cristian Ungureanu
2010 A conf
Bimodal Content Defined Chunking for Backup Streams.
FAST
Erik Kruus, Cristian Ungureanu, Cezary Dubnicki
2009 — conf
Static data race detection for concurrent programs with asynchronous calls.
ESEC/SIGSOFT FSE
Vineet Kahlon, Nishant Sinha, Erik Kruus, Yun Zhang