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08/15/2023
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph
Knowledge graphs (KGs) are commonly used as side information to enhance ...
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06/22/2023
One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation
Recent works have explored the fundamental role of depth estimation in m...
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06/20/2023
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Although previous co-speech gesture generation methods are able to synth...
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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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05/10/2023
MDD-Enabled Two-Tier Terahertz Fronthaul in Indoor Industrial Cell-Free Massive MIMO
To make indoor industrial cell-free massive multiple-input multiple-outp...
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04/22/2023
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation
3D representation disentanglement aims to identify, decompose, and manip...
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04/19/2023
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Prompt-based learning reformulates downstream tasks as cloze problems by...
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04/18/2023
A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification
Cross-domain text classification aims to adapt models to a target domain...
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03/24/2023
StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion
3D semantic scene completion (SSC) is an ill-posed task that requires in...
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03/12/2023
Local Search For SMT On Linear and Multilinear Real Arithmetic
Satisfiability Modulo Theories (SMT) has significant application in vari...
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02/04/2023
Semantic-Guided Image Augmentation with Pre-trained Models
Image augmentation is a common mechanism to alleviate data scarcity in c...
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01/13/2023
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
A well-designed recommender system can accurately capture the attributes...
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11/18/2022
Local Search For Satisfiability Modulo Integer Arithmetic Theories
Satisfiability Modulo Theories (SMT) refers to the problem of deciding t...
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09/23/2022
MetaPrompting: Learning to Learn Better Prompts
Prompting method is regarded as one of the crucial progress for few-shot...
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06/17/2022
Spectral-Efficiency of Cell-Free Massive MIMO with Multicarrier-Division Duplex
A multicarrier-division duplex (MDD)-based cell-free (CF) scheme, namely...
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04/28/2022
Multicarrier-Division Duplex for Solving the Channel Aging Problem in Massive MIMO Systems
The separation of training and data transmission as well as the frequent...
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04/02/2022
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging
Prompting methods recently achieve impressive success in few-shot learni...
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04/01/2022
AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios
Adaptive text to speech (TTS) can synthesize new voices in zero-shot sce...
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11/24/2021
Decoupling Visual-Semantic Feature Learning for Robust Scene Text Recognition
Semantic information has been proved effective in scene text recognition...
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10/05/2021
Data Augmentation Approaches in Natural Language Processing: A Survey
As an effective strategy, data augmentation (DA) alleviates data scarcit...
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07/20/2021
Follow Your Path: a Progressive Method for Knowledge Distillation
Deep neural networks often have a huge number of parameters, which posts...
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07/06/2021
AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style
While recent text to speech (TTS) models perform very well in synthesizi...
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04/20/2021
AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data
Text to speech (TTS) is widely used to synthesize personal voice for a t...
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03/01/2021
AdaSpeech: Adaptive Text to Speech for Custom Voice
Custom voice, a specific text to speech (TTS) service in commercial spee...
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11/02/2020
On the Sentence Embeddings from Pre-trained Language Models
Pre-trained contextual representations like BERT have achieved great suc...
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09/02/2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
When trained effectively, the Variational Autoencoder (VAE) is both a po...
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01/22/2019
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation
In this work, we propose a method for neural dialogue response generatio...
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01/08/2019
Multi-Perspective Fusion Network for Commonsense Reading Comprehension
Commonsense Reading Comprehension (CRC) is a significantly challenging t...
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06/15/2018