15 citations · 17 across the 6 of their papers we have counts for
6 papers
Pareto Invariant Representation Learning for Multimedia Recommendation
Shanshan Huang, Haoxuan Li, Qingsong Li +2
Multimedia recommendation involves personalized ranking tasks, where multimedia content is usually represented using a generic encoder. However, these generic representations intro…
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models
Shanshan Huang, Kenny Q. Zhu
Recent work has indicated that many natural language understanding and reasoning datasets contain statistical cues that may be taken advantaged of by NLP models whose capability ma…
AMRec: An Intelligent System for Academic Method Recommendation
Shanshan Huang, Xiaojun Wan, Xuewei Tang
Finding new academic Methods for research problems is the key task in a researcher's research career. It is usually very difficult for new researchers to find good Methods for thei…
Deep Hashing with Triplet Quantization Loss
Yuefu Zhou, Shanshan Huang, Ya Zhang +1
With the explosive growth of image databases, deep hashing, which learns compact binary descriptors for images, has become critical for fast image retrieval. Many existing deep has…
Unsupervised Triplet Hashing for Fast Image Retrieval
Shanshan Huang, Yichao Xiong, Ya Zhang +1
Hashing has played a pivotal role in large-scale image retrieval. With the development of Convolutional Neural Network (CNN), hashing learning has shown great promise. But existing…
Calculating Probabilities Simplifies Word Learning
Aida Nematzadeh, Barend Beekhuizen, Shanshan Huang +1
Children can use the statistical regularities of their environment to learn word meanings, a mechanism known as cross-situational learning. We take a computational approach to inve…