69 citations · 226 across the 30 of their papers we have counts for
9 papers · 1 filter
Block Format Error Bounds and Optimal Block Size Selection
Ilya Soloveychik, Ilya Lyubomirsky, Xin Wang +1
The amounts of data that need to be transmitted, processed, and stored by the modern deep neural networks have reached truly enormous volumes in the last few years calling for the…
Communication-Efficient Local SGD with Age-Based Worker Selection
Feng Zhu, Jingjing Zhang, Xin Wang
A major bottleneck of distributed learning under parameter-server (PS) framework is communication cost due to frequent bidirectional transmissions between the PS and workers. To ad…
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval
Zheng Li, Caili Guo, Xin Wang +3
There are two popular loss functions used for vision-language retrieval, i.e., triplet loss and contrastive learning loss, both of them essentially minimize the difference between…
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification
Xin Wang, Heng Chang, Beini Xie +5
Graph neural networks (GNNs) have achieved tremendous success in the task of graph classification and its diverse downstream real-world applications. Despite the huge success in le…
Scene Recognition with Objectness, Attribute and Category Learning
Ji Zhang, Jean-Paul Ainam, Li-hui Zhao +2
Scene classification has established itself as a challenging research problem. Compared to images of individual objects, scene images could be much more semantically complex and ab…
Scaling Novel Object Detection with Weakly Supervised Detection Transformers
Tyler LaBonte, Yale Song, Xin Wang +2
A critical object detection task is finetuning an existing model to detect novel objects, but the standard workflow requires bounding box annotations which are time-consuming and e…