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06/25/2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness
Deep neural networks (DNNs) are incredibly vulnerable to crafted, imperc...
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06/19/2023
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion
Tensor train (TT) representation has achieved tremendous success in visu...
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03/27/2023
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
3D automatic annotation has received increased attention since manually ...
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12/24/2022
Frequency Regularization for Improving Adversarial Robustness
Deep neural networks are incredibly vulnerable to crafted, human-imperce...
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10/17/2022
ODG-Q: Robust Quantization via Online Domain Generalization
Quantizing neural networks to low-bitwidth is important for model deploy...
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07/20/2022
Multimodal Transformer for Automatic 3D Annotation and Object Detection
Despite a growing number of datasets being collected for training 3D obj...
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05/17/2022
Multilayer Perceptron Based Stress Evolution Analysis under DC Current Stressing for Multi-segment Wires
Electromigration (EM) is one of the major concerns in the reliability an...
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03/29/2022
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator
Manually annotating 3D point clouds is laborious and costly, limiting th...
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03/29/2022
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion
Existing low-rank tensor completion (LRTC) approaches aim at restoring a...
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03/25/2022
Deformable Butterfly: A Highly Structured and Sparse Linear Transform
We introduce a new kind of linear transform named Deformable Butterfly (...
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03/16/2022
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study
Although many fields have witnessed the superior performance brought abo...
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05/10/2021
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
Elasticities in depth, width, kernel size and resolution have been explo...
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05/08/2021
EZCrop: Energy-Zoned Channels for Robust Output Pruning
Recent results have revealed an interesting observation in a trained con...
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03/22/2021
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
The neuromorphic event cameras, which capture the optical changes of a s...
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02/15/2021
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation
Learning convolutional neural networks (CNNs) with low bitwidth is chall...
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11/04/2020
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation
Real-time understanding in video is crucial in various AI applications s...
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02/28/2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
The emerging edge computing has promoted immense interests in compacting...
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01/02/2020
Kernelized Support Tensor Train Machines
Tensor, a multi-dimensional data structure, has been exploited recently ...
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12/20/2019
MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA
In this article two new algorithms are presented that convert a given da...
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12/02/2019
Fastened CROWN: Tightened Neural Network Robustness Certificates
The rapid growth of deep learning applications in real life is accompani...
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05/17/2019
MiSC: Mixed Strategies Crowdsourcing
Popular crowdsourcing techniques mostly focus on evaluating workers' lab...
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05/17/2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks
The vulnerability to adversarial attacks has been a critical issue for d...
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11/12/2018
Matrix Product Operator Restricted Boltzmann Machines
A restricted Boltzmann machine (RBM) learns a probability distribution o...
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11/09/2018
Deep Compression of Sum-Product Networks on Tensor Networks
Sum-product networks (SPNs) represent an emerging class of neural networ...
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04/17/2018
Fast and Accurate Tensor Completion with Total Variation Regularized Tensor Trains
We propose a new tensor completion method based on tensor trains. The to...
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04/17/2018
Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach
We propose a novel tensor completion approach by equating it to a system...
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04/17/2018
A Support Tensor Train Machine
There has been growing interest in extending traditional vector-based ma...
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07/25/2017
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD
We propose a new algorithm for the computation of a singular value decom...
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12/20/2016