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09/15/2023
Empowering Private Tutoring by Chaining Large Language Models
Artificial intelligence has been applied in various aspects of online ed...
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08/08/2023
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study
Super Resolution (SR) and Camouflaged Object Detection (COD) are two hot...
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05/23/2023
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Fine-tuning on instruction data has been widely validated as an effectiv...
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04/12/2023
SAM Struggles in Concealed Scenes – Empirical Study on "Segment Anything"
Segmenting anything is a ground-breaking step toward artificial general ...
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03/03/2022
PetsGAN: Rethinking Priors for Single Image Generation
Single image generation (SIG), described as generating diverse samples t...
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12/15/2021
On the Convergence and Robustness of Adversarial Training
Improving the robustness of deep neural networks (DNNs) to adversarial e...
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10/08/2021
SCaLa: Supervised Contrastive Learning for End-to-End Automatic Speech Recognition
End-to-end Automatic Speech Recognition (ASR) models are usually trained...
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10/04/2021
Trustworthy AI: From Principles to Practices
Fast developing artificial intelligence (AI) technology has enabled vari...
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09/27/2021
The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service
With the development of the Internet, more and more people get accustome...
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08/18/2021
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension
Reasoning machine reading comprehension (R-MRC) aims to answer complex q...
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07/26/2021
Augmentation Pathways Network for Visual Recognition
Data augmentation is practically helpful for visual recognition, especia...
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06/29/2021
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
Neural text generation models are typically trained by maximizing log-li...
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06/09/2021
Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System
Recent work (Takanobu et al., 2020) proposed the system-wise evaluation ...
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05/13/2021
Conversational AI Systems for Social Good: Opportunities and Challenges
Conversational artificial intelligence (ConvAI) systems have attracted m...
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04/14/2021
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
Existing pre-trained language models (PLMs) have demonstrated the effect...
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03/12/2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
Recent work on aspect-level sentiment classification has demonstrated th...
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02/22/2021
HAIR: Head-mounted AR Intention Recognition
Human teams exhibit both implicit and explicit intention sharing. To fur...
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02/09/2021
Conversational Query Rewriting with Self-supervised Learning
Context modeling plays a critical role in building multi-turn dialogue s...
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11/06/2020
Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis
Despite prosody is related to the linguistic information up to the disco...
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10/21/2020
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training
This paper aims to enhance the few-shot relation classification especial...
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09/15/2020
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
Product attribute values are essential in many e-commerce scenarios, suc...
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07/28/2020
Neural Kalman Filtering for Speech Enhancement
Statistical signal processing based speech enhancement methods adopt exp...
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04/04/2020
Graph Sequential Network for Reasoning over Sequences
Recently Graph Neural Network (GNN) has been applied successfully to var...
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11/22/2019
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service
Human conversations in real scenarios are complicated and building a hum...
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11/22/2019
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset forE-commerce Customer Service
Human conversations in real scenarios are complicated and building a hum...
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11/09/2019
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
Translational distance-based knowledge graph embedding has shown progres...
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11/01/2019
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
Interpretable multi-hop reading comprehension (RC) over multiple documen...
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10/24/2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Aspect-level sentiment classification aims to identify the sentiment pol...
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10/23/2019
Relation Module for Non-answerable Prediction on Question Answering
Machine reading comprehension(MRC) has attracted significant amounts of ...
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08/29/2019
Zero-shot Text-to-SQL Learning with Auxiliary Task
Recent years have seen great success in the use of neural seq2seq models...
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06/12/2019
Multiple instance learning with graph neural networks
Multiple instance learning (MIL) aims to learn the mapping between a bag...
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05/28/2019
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Recent studies have highlighted that deep neural networks (DNNs) are vul...
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05/17/2019
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
Multi-hop reading comprehension (RC) across documents poses new challeng...
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03/22/2019
Towards adversarial learning of speaker-invariant representation for speech emotion recognition
Speech emotion recognition (SER) has attracted great attention in recent...
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02/21/2019
Deep Speaker Embedding Learning with Multi-Level Pooling for Text-Independent Speaker Verification
This paper aims to improve the widely used deep speaker embedding x-vect...
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01/26/2019
Few-shot Learning with Meta Metric Learners
Few-shot Learning aims to learn classifiers for new classes with only a ...
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11/11/2018
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Knowledge graph embedding has been an active research topic for knowledg...
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08/20/2018
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
Although stochastic gradient descent () method and its variants (e.g., s...
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06/16/2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
We investigate the task of learning to follow natural language instructi...
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05/19/2018
Diverse Few-Shot Text Classification with Multiple Metrics
We study few-shot learning in natural language domains. Compared to many...
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10/07/2017
Group Sparse CNNs for Question Classification with Answer Sets
Question classification is an important task with wide applications. How...
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09/28/2017
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Sentence-level classification and sequential labeling are two fundamenta...
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09/19/2017
Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization
Learning to remember long sequences remains a challenging task for recur...
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08/31/2017
R^3: Reinforced Reader-Ranker for Open-Domain Question Answering
In recent years researchers have achieved considerable success applying ...
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08/26/2017
Robust Task Clustering for Deep Many-Task Learning
We investigate task clustering for deep-learning based multi-task and fe...
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08/01/2017
SenGen: Sentence Generating Neural Variational Topic Model
We present a new topic model that generates documents by sampling a topi...
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04/20/2017
Improved Neural Relation Detection for Knowledge Base Question Answering
Relation detection is a core component for many NLP applications includi...
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03/09/2017
A Structured Self-attentive Sentence Embedding
This paper proposes a new model for extracting an interpretable sentence...
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01/15/2017
Neural Models for Sequence Chunking
Many natural language understanding (NLU) tasks, such as shallow parsing...
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11/18/2016