research
∙
09/18/2023
Synth-AC: Enhancing Audio Captioning with Synthetic Supervision
Data-driven approaches hold promise for audio captioning. However, the d...
share
research
∙
09/14/2023
Hierarchical Metadata Information Constrained Self-Supervised Learning for Anomalous Sound Detection Under Domain Shift
Self-supervised learning methods have achieved promising performance for...
research
∙
08/27/2023
Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern Analysis of Machine Sounds
Different machines can exhibit diverse frequency patterns in their emitt...
research
∙
07/04/2023
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation
Despite the huge progress in myriad generation tasks, pretrained languag...
research
∙
05/05/2023
Time-weighted Frequency Domain Audio Representation with GMM Estimator for Anomalous Sound Detection
Although deep learning is the mainstream method in unsupervised anomalou...
research
∙
04/07/2023
Anomalous Sound Detection using Audio Representation with Machine ID based Contrastive Learning Pretraining
Existing contrastive learning methods for anomalous sound detection refi...
research
∙
04/07/2023
Graph Attention for Automated Audio Captioning
State-of-the-art audio captioning methods typically use the encoder-deco...
research
∙
01/14/2023
EARL: An Elliptical Distribution aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images
Label assignment is often employed in recent convolutional neural networ...
research
∙
09/18/2022
A Benchmark for Understanding and Generating Dialogue between Characters in Stories
Many classical fairy tales, fiction, and screenplays leverage dialogue t...
research
∙
08/29/2022
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing
Non-parallel text style transfer is an important task in natural languag...
research
∙
08/08/2022
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework
Despite advances in generating fluent texts, existing pretraining models...
research
∙
04/22/2022
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation
Endowing the protagonist with a specific personality is essential for wr...
research
∙
04/20/2022
A Corpus for Understanding and Generating Moral Stories
Teaching morals is one of the most important purposes of storytelling. A...
research
∙
01/14/2022
Anomalous Sound Detection using Spectral-Temporal Information Fusion
Unsupervised anomalous sound detection aims to detect unknown abnormal s...
research
∙
01/10/2022
Local Information Assisted Attention-free Decoder for Audio Captioning
Automated audio captioning (AAC) aims to describe audio data with captio...
research
∙
08/30/2021
LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation
Standard multi-task benchmarks are essential for driving the progress of...
research
∙
05/19/2021
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
Generating long and coherent text is an important but challenging task, ...
research
∙
05/19/2021
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
Automatic metrics are essential for developing natural language generati...
research
∙
05/18/2021
Stylized Story Generation with Style-Guided Planning
Current storytelling systems focus more ongenerating stories with cohere...
research
∙
03/30/2021
Time-domain Speech Enhancement with Generative Adversarial Learning
Speech enhancement aims to obtain speech signals with high intelligibili...
research
∙
12/01/2020
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
research
∙
09/16/2020
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
Despite the success of existing referenced metrics (e.g., BLEU and Mover...
research
∙
02/03/2020
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
In text generation evaluation, many practical issues, such as inconsiste...
research
∙
01/15/2020
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
Story generation, namely generating a reasonable story from a leading co...
research
∙
12/13/2019
A Practical Solution for SAR Despeckling with Only Single Speckled Images
In this letter, we aim to address synthetic aperture radar (SAR) despeck...
research
∙
12/02/2019
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
Object detection in aerial images is a challenging task due to its lack ...
research
∙
11/10/2019
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Reinforcement learning is effective in optimizing policies for recommend...
research
∙
11/10/2019
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Reinforcement learning is effective in optimizing policies for recommend...
research
∙
08/05/2019
Blind SAR Image Despeckling Using Self-Supervised Dense Dilated Convolutional Neural Network
Despeckling is a key and indispensable step in SAR image preprocessing, ...
research
∙
08/30/2018
