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06/06/2023
Emotion-Conditioned Melody Harmonization with Hierarchical Variational Autoencoder
Existing melody harmonization models have made great progress in improvi...
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05/28/2023
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Reasoning, a crucial aspect of NLP research, has not been adequately add...
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05/04/2023
On the nonlinear correlation of ML performance between data subpopulations
Understanding the performance of machine learning (ML) models across div...
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05/04/2023
Learning to Recover Causal Relationship from Indefinite Data in the Presence of Latent Confounders
In Causal Discovery with latent variables, We define two data paradigms:...
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05/04/2023
Affective Reasoning at Utterance Level in Conversations: A Causal Discovery Approach
The affective reasoning task is a set of emerging affect-based tasks in ...
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03/27/2023
Improving the Transferability of Adversarial Examples via Direction Tuning
In the transfer-based adversarial attacks, adversarial examples are only...
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03/17/2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
With the development of adversarial attacks, adversairal examples have b...
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03/07/2023
Multi-Dimensional and Multi-Scale Modeling for Speech Separation Optimized by Discriminative Learning
Transformer has shown advanced performance in speech separation, benefit...
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03/07/2023
A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments
In noisy and reverberant environments, the performance of deep learning-...
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02/22/2023
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
This paper presents a deep learning framework for medical video segmenta...
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01/20/2023
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
Transformer, as an alternative to CNN, has been proven effective in many...
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12/20/2022
ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management
Despite the increased adoption of open-source cyber threat intelligence ...
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11/10/2022
Zebra: Deeply Integrating System-Level Provenance Search and Tracking for Efficient Attack Investigation
System auditing has emerged as a key approach for monitoring system call...
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10/25/2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
There is an inescapable long-tailed class-imbalance issue in many real-w...
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09/14/2022
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms
Understanding causality helps to structure interventions to achieve spec...
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08/29/2022
Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction
Emotion-cause pair extraction (ECPE) is an emerging task aiming to extra...
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08/17/2022
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation
We propose Video-TransUNet, a deep architecture for instance segmentatio...
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08/07/2022
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
Automated social behaviour analysis of mice has become an increasingly p...
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06/02/2022
FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples
In the strong adversarial attacks against deep neural network (DNN), the...
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06/02/2022
Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network
Deep neural network (DNN) with dropout can be regarded as an ensemble mo...
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05/26/2022
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Multi-sensor fusion is essential for an accurate and reliable autonomous...
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05/19/2022
Enhancing the Transferability of Adversarial Examples via a Few Queries
Due to the vulnerability of deep neural networks, the black-box attack h...
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05/04/2022
Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis
Histopathological images of tumors contain abundant information about ho...
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04/30/2022
Dynamic Curriculum Learning for Great Ape Detection in the Wild
We propose a novel end-to-end curriculum learning approach that leverage...
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04/26/2022
Mixed Strategies for Security Games with General Defending Requirements
The Stackelberg security game is played between a defender and an attack...
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04/12/2022
ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition
Music emotion recognition (MER), a sub-task of music information retriev...
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03/24/2022
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
Intelligent applications based on machine learning are impacting many pa...
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08/23/2021
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
Access to labeled time series data is often limited in the real world, w...
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04/20/2021
Review of end-to-end speech synthesis technology based on deep learning
As an indispensable part of modern human-computer interaction system, sp...
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04/01/2021
WakaVT: A Sequential Variational Transformer for Waka Generation
Poetry generation has long been a challenge for artificial intelligence....
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12/02/2020
Defending against Contagious Attacks on a Network with Resource Reallocation
In classic network security games, the defender distributes defending re...
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11/13/2020
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
The utilization of deep learning techniques in generating various conten...
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10/14/2020
Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
In this paper we show that learning video feature spaces in which tempor...
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10/11/2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis in Crowdsensing
Collecting and analyzing massive data generated from smart devices have ...
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10/09/2020
Latent Dirichlet Allocation Model Training with Differential Privacy
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...
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09/29/2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data
In Internet of Things (IoT) driven smart-world systems, real-time crowd-...
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06/16/2020
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction
Effective long-term predictions have been increasingly demanded in urban...
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04/22/2020
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints
Distributed machine learning (ML) at network edge is a promising paradig...
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11/27/2019
Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Differential privacy provides a rigorous framework to quantify data priv...
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09/29/2019
MG-VAE: Deep Chinese Folk Songs Generation with Specific Regional Style
Regional style in Chinese folk songs is a rich treasure that can be used...
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08/29/2019
Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture
Understanding the morphological changes of primary neuronal cells induce...
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08/29/2019
Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending
We propose the first multi-frame video object detection framework traine...
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06/05/2019
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis
It has been widely understood that differential privacy (DP) can guarant...
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06/05/2019
Locally Differentially Private Data Collection and Analysis
Local differential privacy (LDP) can provide each user with strong priva...
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06/04/2019
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
With the rapid development of artificial intelligence (AI), ethical issu...
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06/04/2019
