3 citations · 8 across the 6 of their papers we have counts for
6 papers
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
Huaizheng Zhang, Yuanming Li, Wencong Xiao +7
New architecture GPUs like A100 are now equipped with multi-instance GPU (MIG) technology, which allows the GPU to be partitioned into multiple small, isolated instances. This tech…
Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion
Chengbo Yuan, Qianhui Xu, Yong Luo
Depression is a leading cause of death worldwide, and the diagnosis of depression is nontrivial. Multimodal learning is a popular solution for automatic diagnosis of depression, an…
Hyper-relationship Learning Network for Scene Graph Generation
Yibing Zhan, Zhi Chen, Jun Yu +3
Generating informative scene graphs from images requires integrating and reasoning from various graph components, i.e., objects and relationships. However, current scene graph gene…
Schema-Free Dependency Parsing via Sequence Generation
Boda Lin, Zijun Yao, Jiaxin Shi +6
Dependency parsing aims to extract syntactic dependency structure or semantic dependency structure for sentences. Existing methods suffer the drawbacks of lacking universality or h…
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation
Chao Chen, Yibing Zhan, Baosheng Yu +3
Scene Graph Generation (SGG) aims to build a structured representation of a scene using objects and pairwise relationships, which benefits downstream tasks. However, current SGG me…
ViF-SD2E: A Robust Weakly-Supervised Method for Neural Decoding
Jingyi Feng, Yong Luo, Shuang Song
Neural decoding plays a vital role in the interaction between the brain and the outside world. In this paper, we directly decode the movement track of a finger based on the neural…