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07/12/2023
PolyLM: An Open Source Polyglot Large Language Model
Large language models (LLMs) demonstrate remarkable ability to comprehen...
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06/20/2023
Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition
Low-resource accented speech recognition is one of the important challen...
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12/02/2022
DWRSeg: Dilation-wise Residual Network for Real-time Semantic Segmentation
Real-time semantic segmentation has played an important role in intellig...
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11/25/2022
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Neural machine translation (NMT) is often criticized for failures that h...
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11/03/2022
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system
Exploiting effective target modeling units is very important and has alw...
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09/23/2021
Non-Parametric Online Learning from Human Feedback for Neural Machine Translation
We study the problem of online learning with human feedback in the human...
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08/19/2021
ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition
Musical instruments recognition is a widely used application for music i...
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04/05/2021
Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning
Due to the lack of natural scene and haze prior information, it is great...
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09/14/2020
Themes Informed Audio-visual Correspondence Learning
The applications of short-term user-generated video (UGV), such as Snapc...
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04/26/2020
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Over the last decade, there has been significant progress in the field o...
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02/24/2020
GRET: Global Representation Enhanced Transformer
Transformer, based on the encoder-decoder framework, has achieved state-...
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12/23/2019
Oriented Objects as pairs of Middle Lines
The detection of oriented objects is frequently appeared in the field of...
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10/09/2019
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
We build a profitable electronic trading agent with Reinforcement Learni...
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10/09/2019
Multiple-objective Reinforcement Learning for Inverse Design and Identification
The aim of the inverse chemical design is to develop new molecules with ...
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07/29/2019
