Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders

no code implementations • 23 Aug 2023 • Yueqi Wang, Yoni Halpern, Shuo Chang, Jingchen Feng, Elaine Ya Le, Longfei Li, Xujian Liang, Min-Cheng Huang, Shane Li, Alex Beutel, Yaping Zhang, Shuchao Bi

In this work, we incorporate explicit and implicit negative user feedback into the training objective of sequential recommenders in the retrieval stage using a "not-to-recommend" loss function that optimizes for the log-likelihood of not recommending items with negative feedback.

counterfactual Recommendation Systems +1

Multi-Teacher Knowledge Distillation For Text Image Machine Translation

no code implementations • 9 May 2023 • Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong

Text image machine translation (TIMT) has been widely used in various real-world applications, which translates source language texts in images into another target language sentence.

Knowledge Distillation Machine Translation +2

E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation

1 code implementation • 9 May 2023 • Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong

Furthermore, the ablation studies verify the generalization of our method, where the proposed modal adapter is effective to bridge various OCR and MT models.

Machine Translation Optical Character Recognition +2

Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task

1 code implementation • 8 Oct 2022 • Cong Ma, Yaping Zhang, Mei Tu, Xu Han, Linghui Wu, Yang Zhao, Yu Zhou

End-to-end text image translation (TIT), which aims at translating the source language embedded in images to the target language, has attracted intensive attention in recent research.

Multi-Task Learning Translation

Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification

2 code implementations • 9 Sep 2019 • kaisheng Liao, Yaodong Zhao, Jie Gu, Yaping Zhang, Yi Zhong

A representative sequential convolutional recurrent neural network architecture with the two-layer convolutional neural network and subsequent two-layer long short-term memory neural network is developed to suggest the option for fast automatic modulation classification.

Classification Dimensionality Reduction +1

Infer Implicit Contexts in Real-time Online-to-Offline Recommendation

1 code implementation • 8 Jul 2019 • Xichen Ding, Jie Tang, Tracy Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen

Understanding users' context is essential for successful recommendations, especially for Online-to-Offline (O2O) recommendation, such as Yelp, Groupon, and Koubei.

Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition

no code implementations • CVPR 2019 • Yaping Zhang, Shuai Nie, Wenju Liu, Xing Xu, Dongxiang Zhang, Heng Tao Shen

In the SSDAN, a gated attention similarity (GAS) unit is introduced to adaptively focus on aligning the distribution of the source and target sequence data in an attended character-level feature space rather than a global coarse alignment.

Domain Adaptation Object Recognition

Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training

no code implementations • 2 May 2018 • Bin Liu, Shuai Nie, Yaping Zhang, Dengfeng Ke, Shan Liang, Wenju Liu1

In realistic environments, speech is usually interfered by various noise and reverberation, which dramatically degrades the performance of automatic speech recognition (ASR) systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2