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07/29/2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Despite the success of deep neural networks in medical image classificat...
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07/24/2023
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Medical image segmentation has made significant progress when a large am...
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06/02/2023
dugMatting: Decomposed-Uncertainty-Guided Matting
Cutting out an object and estimating its opacity mask, known as image ma...
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08/11/2022
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao
As one of the largest e-commerce platforms in the world, Taobao's recomm...
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12/30/2021
Quantum secure direct communication with private dense coding using general preshared quantum state
We study quantum secure direct communication by using a general preshare...
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09/21/2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Supervised neural networks, which first map an input x to a single repre...
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05/29/2020
Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions
At the time of writing, the ongoing pandemic of coronavirus disease (COV...
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03/19/2020
Towards Cognitive Routing based on Deep Reinforcement Learning
Routing is one of the key functions for stable operation of network infr...
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09/09/2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
Many tasks in natural language processing can be viewed as multi-label c...
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07/14/2019
TWEETQA: A Social Media Focused Question Answering Dataset
With social media becoming increasingly pop-ular on which lots of news a...
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06/30/2019
Self-Supervised Dialogue Learning
The sequential order of utterances is often meaningful in coherent dialo...
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04/06/2019
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
We present a new large-scale multilingual video description dataset, VAT...
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04/04/2019
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation
The overreliance on large parallel corpora significantly limits the appl...
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03/06/2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
Existing entity typing systems usually exploit the type hierarchy provid...
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11/07/2018
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Although promising results have been achieved in video captioning, exist...
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04/17/2018
Reinforced Co-Training
Co-training is a popular semi-supervised learning framework to utilize a...
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11/29/2017