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06/09/2023
Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning
The standard definition generation task requires to automatically produc...
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02/13/2023
Distinguishability Calibration to In-Context Learning
Recent years have witnessed increasing interests in prompt-based learnin...
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01/17/2023
BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation
Previous works on emotion recognition in conversation (ERC) follow a two...
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12/19/2022
Predicting Ejection Fraction from Chest X-rays Using Computer Vision for Diagnosing Heart Failure
Heart failure remains a major public health challenge with growing costs...
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12/09/2022
MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction
The mainstream of the existing approaches for video prediction builds up...
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10/02/2022
Fine-grained Contrastive Learning for Definition Generation
Recently, pre-trained transformer-based models have achieved great succe...
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09/09/2022
Impacts of Census Differential Privacy for Small-Area Disease Mapping to Monitor Health Inequities
US Census Bureau (USCB) has implemented a new privacy-preserving disclos...
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09/07/2022
Shifting Perspective to See Difference: A Novel Multi-View Method for Skeleton based Action Recognition
Skeleton-based human action recognition is a longstanding challenge due ...
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04/06/2022
C3KG: A Chinese Commonsense Conversation Knowledge Graph
Existing commonsense knowledge bases often organize tuples in an isolate...
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03/24/2022
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation
Excellent performance has been achieved on instance segmentation but the...
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07/21/2021
From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting
Despite video forecasting has been a widely explored topic in recent yea...
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12/15/2020
Writing Polishment with Simile: Task, Dataset and A Neural Approach
A simile is a figure of speech that directly makes a comparison, showing...
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09/25/2020
Focus-Constrained Attention Mechanism for CVAE-based Response Generation
To model diverse responses for a given post, one promising way is to int...
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03/23/2020
Peeking into occluded joints: A novel framework for crowd pose estimation
Although occlusion widely exists in nature and remains a fundamental cha...
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11/09/2018
Incorporating Relevant Knowledge in Context Modeling and Response Generation
To sustain engaging conversation, it is critical for chatbots to make go...
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11/02/2018
Meta-path Augmented Response Generation
We propose a chatbot, namely Mocha to make good use of relevant entities...
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08/29/2018
Deep Reinforcement Learning in Portfolio Management
In this paper, we implement two state-of-art continuous reinforcement le...
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10/11/2017
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
We develop a high-quality multi-turn dialog dataset, DailyDialog, which ...
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04/30/2017
A Conditional Variational Framework for Dialog Generation
Deep latent variable models have been shown to facilitate the response g...
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02/26/2017
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Despite the successes in capturing continuous distributions, the applica...
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12/07/2016
Mode Regularized Generative Adversarial Networks
Although Generative Adversarial Networks achieve state-of-the-art result...
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04/01/2016
AttSum: Joint Learning of Focusing and Summarization with Neural Attention
Query relevance ranking and sentence saliency ranking are the two main t...
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08/26/2015