1.4k citations
- University of Southern CaliforniaUS710 papers
- Southern States UniversityUS31 papers
- University of California, BerkeleyUS23 papers
- Carnegie Mellon UniversityUS18 papers
- University of California, Los AngelesUS18 papers
- Princeton UniversityUS17 papers
- Stanford UniversityUS16 papers
- California Institute of TechnologyUS15 papers
- Centre National de la Recherche ScientifiqueFR13 papers
- University of MichiganUS13 papers
- University of Illinois Urbana-ChampaignUS12 papers
- Google (United States)US11 papers
16 papers · 1 filter
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
Mingchao Yu, Zhifeng Lin, Krishna Narra +6
Data parallelism can boost the training speed of convolutional neural networks (CNN), but could suffer from significant communication costs caused by gradient aggregation. To allev…
Space Expansion of Feature Selection for Designing more Accurate Error Predictors
Shayan Tabatabaei Nikkhah, Mehdi Kamal, Ali Afzali-Kusha +1
Approximate computing is being considered as a promising design paradigm to overcome the energy and performance challenges in computationally demanding applications. If the case wh…
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
Yujin Yuan, Liyuan Liu, Siliang Tang +5
Distant supervision leverages knowledge bases to automatically label instances, thus allowing us to train relation extractor without human annotations. However, the generated train…
Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline
Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram
Energy efficiency is one of the most critical design criteria for modern embedded systems such as multiprocessor system-on-chips (MPSoCs). Dynamic voltage and frequency scaling (DV…
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
Ye Wang, Jongmoo Choi, Yueru Chen +5
Unsupervised video object segmentation is a crucial application in video analysis without knowing any prior information about the objects. It becomes tremendously challenging when…
Searching with Consistent Prioritization for Multi-Agent Path Finding
Hang Ma, Daniel Harabor, Peter J. Stuckey +2
We study prioritized planning for Multi-Agent Path Finding (MAPF). Existing prioritized MAPF algorithms depend on rule-of-thumb heuristics and random assignment to determine a fixe…