40 citations · 52 across the 5 of their papers we have counts for
5 papers
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning
Menghan Wang, Yuchen Guo, Zhenqi Zhao +4
Binary pointwise labels (aka implicit feedback) are heavily leveraged by deep learning based recommendation algorithms nowadays. In this paper we discuss the limited expressiveness…
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection
Zhen Zhao, Yuhong Guo, Jieping Ye
Recently the problem of cross-domain object detection has started drawing attention in the computer vision community. In this paper, we propose a novel unsupervised cross-domain de…
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data
Zhen Zhao, Bingyu Liu, Yuhong Guo +1
In this paper, we present our proposed ensemble model with batch spectral regularization and data blending mechanisms for the Track 2 problem of the cross-domain few-shot learning…
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients
Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu +2
We present a method for fast inference in Capsule Networks (CapsNets) by taking advantage of a key insight regarding the routing coefficients that link capsules between adjacent ne…
Capsule Networks with Max-Min Normalization
Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu +2
Capsule Networks (CapsNet) use the Softmax function to convert the logits of the routing coefficients into a set of normalized values that signify the assignment probabilities betw…