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09/04/2023
Federated cINN Clustering for Accurate Clustered Federated Learning
Federated Learning (FL) presents an innovative approach to privacy-prese...
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06/07/2023
Knowing-how Knowing-that: A New Task for Machine Reading Comprehension of User Manuals
The machine reading comprehension (MRC) of user manuals has huge potenti...
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05/09/2023
GPT-NAS: Neural Architecture Search with the Generative Pre-Trained Model
Neural Architecture Search (NAS) has emerged as one of the effective met...
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04/26/2023
Deep Lifelong Cross-modal Hashing
Hashing methods have made significant progress in cross-modal retrieval ...
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04/18/2023
Differentiable Genetic Programming for High-dimensional Symbolic Regression
Symbolic regression (SR) is the process of discovering hidden relationsh...
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02/27/2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
Reducing communication overhead in federated learning (FL) is challengin...
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12/28/2022
Differentiable Search of Accurate and Robust Architectures
Deep neural networks (DNNs) are found to be vulnerable to adversarial at...
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11/19/2022
Personalized Federated Learning with Hidden Information on Personalized Prior
Federated learning (FL for simplification) is a distributed machine lear...
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11/07/2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition
Incorporating large-scale pre-trained models with the prototypical neura...
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09/26/2022
Deep Fair Clustering via Maximizing and Minimizing Mutual Information
Fair clustering aims to divide data into distinct clusters, while preven...
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08/11/2022
Draft, Command, and Edit: Controllable Text Editing in E-Commerce
Product description generation is a challenging and under-explored task....
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04/07/2022
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy
Proactive dialogue system is able to lead the conversation to a goal top...
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04/06/2022
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg
Federated learning (FL) is identified as a crucial enabler for large-sca...
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03/08/2022
Multi-Scale Adaptive Network for Single Image Denoising
Multi-scale architectures have shown effectiveness in a variety of tasks...
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03/05/2022
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize both seen and un...
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11/27/2021
Quantifying human mixing patterns in Chinese provinces outside Hubei after the 2020 lockdown was lifted
Contact patterns play a key role in the spread of respiratory infectious...
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10/07/2021
Adversarial Retriever-Ranker for dense text retrieval
Current dense text retrieval models face two typical challenges. First, ...
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07/14/2021
Unsupervised Neural Rendering for Image Hazing
Image hazing aims to render a hazy image from a given clean one, which c...
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05/17/2021
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
Hybrid data combining both tabular and textual content (e.g., financial ...
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05/10/2021
Poolingformer: Long Document Modeling with Pooling Attention
In this paper, we introduce a two-level attention schema, Poolingformer,...
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05/03/2021
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search
Arrhythmia is a cardiovascular disease that manifests irregular heartbea...
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04/23/2021
Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System
In open-domain conversational systems, it is important but challenging t...
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04/21/2021
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences
In educational applications, Knowledge Tracing (KT), the problem of accu...
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01/15/2021
Dynamic Normalization
Batch Normalization has become one of the essential components in CNN. I...
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12/12/2020
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg
Petabytes of data are generated each day by emerging Internet of Things ...
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10/04/2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
In this paper, we propose a novel data augmentation method, referred to ...
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09/24/2020
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation
Ancient Chinese is the essence of Chinese culture. There are several nat...
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09/06/2020
HLSGD Hierarchical Local SGD With Stale Gradients Featuring
While distributed training significantly speeds up the training process ...
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09/06/2020
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks
Parameter updating is an important stage in parallelism-based distribute...
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07/23/2020
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training
Synchronous strategies with data parallelism, such as the Synchronous St...
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04/30/2020
RikiNet: Reading Wikipedia Pages for Natural Question Answering
Reading long documents to answer open-domain questions remains challengi...
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04/28/2020
Let's be Humorous: Knowledge Enhanced Humor Generation
The generation of humor is an under-explored and challenging problem. Pr...
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04/13/2020
Learning Event-Based Motion Deblurring
Recovering sharp video sequence from a motion-blurred image is highly il...
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04/08/2020
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
News headline generation aims to produce a short sentence to attract rea...
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03/24/2020
Generating Chinese Poetry from Images via Concrete and Abstract Information
In recent years, the automatic generation of classical Chinese poetry ha...
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02/05/2020
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting
Prior knowledge of face shape and location plays an important role in fa...
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11/19/2019
Deep Poetry: A Chinese Classical Poetry Generation System
In this work, we demonstrate a Chinese classical poetry generation syste...
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08/09/2019
Deep Density-aware Count Regressor
We seek to improve crowd counting as we perceive limits of currently pre...
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06/10/2019
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review
As an important format of multimedia, music has filled almost everyone's...
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05/29/2019
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer
Typical methods for unsupervised text style transfer often rely on two k...
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05/26/2019
TIGS: An Inference Algorithm for Text Infilling with Gradient Search
Text infilling is defined as a task for filling in the missing part of a...
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05/24/2019
mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation
It has been previously observed that training Variational Recurrent Auto...
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08/28/2018
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine
We investigate the potential of a restricted Boltzmann Machine (RBM) for...
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08/11/2018
Ancient-Modern Chinese Translation with a Large Training Dataset
Ancient Chinese brings the wisdom and spirit culture of the Chinese nati...
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06/26/2018
A Multi-Modal Chinese Poetry Generation Model
Recent studies in sequence-to-sequence learning demonstrate that RNN enc...
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06/21/2018