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Publication search results
found 18 matches
- 2023
- Rikke Hagensby Jensen
, Enrique Encinas
, Yolande A. A. Strengers
, Christian Dannesboe
, Erik Kruuse
, Jesper Skovby
, Marcus Bach
, Patrick Bering Tietze
, Simon Christensen
:
Provotyping Accountability: Exploring Smartphone Use in the Home through Design. Conference on Designing Interactive Systems 2023: 1595-1609 - Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min:
Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning. CVPR 2023: 14643-14652 - 2022
- Robert Valner, Houman Masnavi, Igor Rybalskii, Rauno Põlluäär, Erik Kõiv, Alvo Aabloo, Karl Kruusamäe
, Arun Kumar Singh:
Scalable and heterogenous mobile robot fleet-based task automation in crowded hospital environments - a field test. Frontiers Robotics AI 9 (2022) - Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving neural network robustness through neighborhood preserving layers. Image Vis. Comput. 123: 104469 (2022) - Christopher Malon, Kai Li, Erik Kruus:
Fast Few-shot Debugging for NLU Test Suites. DeeLIO@ACL 2022: 79-86 - Yiren Jian, Erik Kruus, Martin Renqiang Min:
T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling. KDD 2022: 3090-3097 - Christopher Malon, Kai Li, Erik Kruus:
Fast Few-shot Debugging for NLU Test Suites. CoRR abs/2204.06555 (2022) - 2021
- Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh:
Towards Robustness of Deep Neural Networks via Regularization. ICCV 2021: 7476-7485 - Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving Neural Network Robustness through Neighborhood Preserving Layers. CoRR abs/2101.11766 (2021) - Farley Lai, Asim Kadav, Erik Kruus:
SplitBrain: Hybrid Data and Model Parallel Deep Learning. CoRR abs/2112.15317 (2021) - 2020
- Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving Neural Network Robustness Through Neighborhood Preserving Layers. ICPR Workshops (6) 2020: 179-195 - Qiuping Wang, Jinhong Li, Wen Xia, Erik Kruus, Biplob Debnath, Patrick P. C. Lee:
Austere Flash Caching with Deduplication and Compression. USENIX Annual Technical Conference 2020: 713-726 - 2018
- Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus:
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding. CoRR abs/1811.07950 (2018) - 2016
- Asim Kadav, Erik Kruus:
ASAP: Asynchronous Approximate Data-Parallel Computation. CoRR abs/1612.08608 (2016) - 2015
- Hao Li, Asim Kadav, Erik Kruus, Cristian Ungureanu:
MALT: distributed data-parallelism for existing ML applications. EuroSys 2015: 3:1-3:16 - 2011
- Ramya Prabhakar, Erik Kruus, Guanlin Lu, Cristian Ungureanu:
EEffSim: A discrete event simulator for energy efficiency in large-scale storage systems. ICEAC 2011: 1-6 - 2010
- Erik Kruus, Cristian Ungureanu, Cezary Dubnicki:
Bimodal Content Defined Chunking for Backup Streams. FAST 2010: 239-252 - 2009
- Vineet Kahlon, Nishant Sinha, Erik Kruus, Yun Zhang:
Static data race detection for concurrent programs with asynchronous calls. ESEC/SIGSOFT FSE 2009: 13-22
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retrieved on 2023-10-03 10:28 CEST from data curated by the dblp team
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