162 citations · 272 across the 6 of their papers we have counts for
6 papers
OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition
Li Fu, Siqi Li, Qingtao Li +6
Self-Supervised Learning (SSL) Automatic Speech Recognition (ASR) models have shown great promise over Supervised Learning (SL) ones in low-resource settings. However, the advantag…
Semantic Compositional Networks for Visual Captioning
Zhe Gan, Chuang Gan, Xiaodong He +5
A Semantic Compositional Network (SCN) is developed for image captioning, in which semantic concepts (i.e., tags) are detected from the image, and the probability of each tag is us…
Bi-directional Attention with Agreement for Dependency Parsing
Hao Cheng, Hao Fang, Xiaodong He +2
We develop a novel bi-directional attention model for dependency parsing, which learns to agree on headword predictions from the forward and backward parsing directions. The parsin…
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
Yandong Guo, Lei Zhang, Yuxiao Hu +2
In this paper, we design a benchmark task and provide the associated datasets for recognizing face images and link them to corresponding entity keys in a knowledge base. More speci…
Semantic Modelling with Long-Short-Term Memory for Information Retrieval
H. Palangi, L. Deng, Y. Shen +5
In this paper we address the following problem in web document and information retrieval (IR): How can we use long-term context information to gain better IR performance? Unlike co…
Learning Multi-Relational Semantics Using Neural-Embedding Models
Bishan Yang, Wen-tau Yih, Xiaodong He +2
In this paper we present a unified framework for modeling multi-relational representations, scoring, and learning, and conduct an empirical study of several recent multi-relational…