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09/08/2023
Towards Mitigating Architecture Overfitting in Dataset Distillation
Dataset distillation methods have demonstrated remarkable performance fo...
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09/05/2023
DeepVol: A Deep Transfer Learning Approach for Universal Asset Volatility Modeling
This paper introduces DeepVol, a promising new deep learning volatility ...
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08/24/2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification
Convolutional neural networks excel in histopathological image classific...
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07/19/2023
A simple and efficient convex optimization based bound-preserving high order accurate limiter for Cahn-Hilliard-Navier-Stokes system
For time-dependent PDEs, the numerical schemes can be rendered bound-pre...
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06/28/2023
The Power of Telemetry: Uncovering Software-Based Side-Channel Attacks on Apple M1/M2 Systems
Power analysis is a class of side-channel attacks, where power consumpti...
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05/09/2023
A positivity-preserving implicit-explicit scheme with high order polynomial basis for compressible Navier-Stokes equations
In this paper, we are interested in constructing a scheme solving compre...
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04/10/2023
Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM
In the past few years, more and more AI applications have been applied t...
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04/06/2023
RFAConv: Innovating Spatital Attention and Standard Convolutional Operation
Spatial attention has been demonstrated to enable convolutional neural n...
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02/16/2023
Realized recurrent conditional heteroskedasticity model for volatility modelling
We propose a new approach to volatility modelling by combining deep lear...
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01/10/2023
Diffusion Models For Stronger Face Morphing Attacks
Face morphing attacks seek to deceive a Face Recognition (FR) system by ...
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11/30/2022
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning
Positive-Unlabeled (PU) learning aims to learn a model with rare positiv...
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11/29/2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
The task of Few-shot learning (FSL) aims to transfer the knowledge learn...
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11/02/2022
Behavior Prior Representation learning for Offline Reinforcement Learning
Offline reinforcement learning (RL) struggles in environments with rich ...
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10/29/2022
Structure preserving schemes for Fokker-Planck equations of irreversible processes
In this paper, we introduce second order and fourth order space discreti...
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10/12/2022
One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks
Current multimodal models, aimed at solving Vision and Language (V+L) ta...
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10/11/2022
Convergence of a Decoupled Splitting Scheme for the Cahn-Hilliard-Navier-Stokes System
This paper is devoted to the analysis of an energy-stable discontinuous ...
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10/07/2022
Learning to Learn and Sample BRDFs
We propose a method to accelerate the joint process of physically acquir...
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07/15/2022
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples
Focal Loss has reached incredible popularity as it uses a simple techniq...
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06/14/2022
Frequency Throttling Side-Channel Attack
Modern processors dynamically control their operating frequency to optim...
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06/08/2022
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
Since the pandemic of COVID-19, several deep learning methods were propo...
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06/06/2022
Fast Adversarial Training with Adaptive Step Size
While adversarial training and its variants have shown to be the most ef...
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03/29/2022
Neural Inertial Localization
This paper proposes the inertial localization problem, the task of estim...
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02/25/2022
Time-coded Spiking Fourier Transform in Neuromorphic Hardware
After several decades of continuously optimizing computing systems, the ...
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02/15/2022
Delving Deeper into Cross-lingual Visual Question Answering
Visual question answering (VQA) is one of the crucial vision-and-languag...
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02/03/2022
Robust Binary Models by Pruning Randomly-initialized Networks
We propose ways to obtain robust models against adversarial attacks from...
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12/07/2021
Improved a priori error estimates for a discontinuous Galerkin pressure correction scheme for the Navier-Stokes equations
The pressure correction scheme is combined with interior penalty discont...
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09/22/2021
A discontinuous Galerkin pressure correction scheme for the incompressible Navier-Stokes equations: stability and convergence
A discontinuous Galerkin pressure correction numerical method for solvin...
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09/17/2021
Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification
Hierarchical Text Classification (HTC), which aims to predict text label...
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06/23/2021
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
Detecting the newly emerging malware variants in real time is crucial fo...
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06/22/2021
Fourier Transform Approximation as an Auxiliary Task for Image Classification
Image reconstruction is likely the most predominant auxiliary task for i...
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04/10/2021
Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data
Current neuroimaging techniques provide paths to investigate the structu...
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03/25/2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Few-shot learning (FSL), which aims to recognise new classes by adapting...
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01/08/2021
Example-based Real-time Clothing Synthesis for Virtual Agents
We present a real-time cloth animation method for dressing virtual human...
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10/30/2020
A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows
In this paper, we present an efficient numerical algorithm for solving t...
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10/04/2020
A discontinuous Galerkin method for a diffuse-interface model of immiscible two-phase flows with soluble surfactant
A numerical method using discontinuous polynomial approximations is form...
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09/07/2020
Robust Spoken Language Understanding with RL-based Value Error Recovery
Spoken Language Understanding (SLU) aims to extract structured semantic ...
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07/10/2020
Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision
Image dehazing without paired haze-free images is of immense importance,...
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07/04/2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Over-parameterization is ubiquitous nowadays in training neural networks...
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06/15/2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
We analyze the influence of adversarial training on the loss landscape o...
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06/08/2020
Graph Representation Learning Network via Adaptive Sampling
Graph Attention Network (GAT) and GraphSAGE are neural network architect...
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05/27/2020
Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing
One daunting problem for semantic parsing is the scarcity of annotation....
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05/24/2020
Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding
Spoken Language Understanding (SLU) converts hypotheses from automatic s...
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03/26/2020
Instance Credibility Inference for Few-Shot Learning
Few-shot learning (FSL) aims to recognize new objects with extremely lim...
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01/15/2020
Substituting Gadolinium in Brain MRI Using DeepContrast
Cerebral blood volume (CBV) is a hemodynamic correlate of oxygen metabol...
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01/15/2020
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features
The ability to extrapolate gene expression dynamics in living single cel...
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12/10/2019
On Certifying Robust Models by Polyhedral Envelope
Certifying neural networks enables one to offer guarantees on a model's ...
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10/25/2019
DENS: A Dataset for Multi-class Emotion Analysis
We introduce a new dataset for multi-class emotion analysis from long-fo...
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10/25/2019
Exploring Multilingual Syntactic Sentence Representations
We study methods for learning sentence embeddings with syntactic structu...
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08/19/2019
Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path
This paper proposes a new approach for automated floorplan reconstructio...
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07/10/2019