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08/28/2023
RecMind: Large Language Model Powered Agent For Recommendation
Recent advancements in instructing Large Language Models (LLMs) to utili...
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04/20/2023
Projective Proximal Gradient Descent for A Class of Nonconvex Nonsmooth Optimization Problems: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
Nonconvex and nonsmooth optimization problems are important and challeng...
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01/19/2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation
Deep Neural Networks are vulnerable to adversarial attacks. Neural Archi...
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06/22/2022
Noisy ℓ^0-Sparse Subspace Clustering on Dimensionality Reduced Data
Sparse subspace clustering methods with sparsity induced by ℓ^0-norm, su...
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06/01/2022
Benchmark of DNN Model Search at Deployment Time
Deep learning has become the most popular direction in machine learning ...
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05/27/2022
Bayesian Robust Graph Contrastive Learning
Graph Neural Networks (GNNs) have been widely used to learn node represe...
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03/04/2022
Adaptive Cross-Layer Attention for Image Restoration
Non-local attention module has been proven to be crucial for image resto...
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09/17/2021
Discriminative Similarity for Data Clustering
Similarity-based clustering methods separate data into clusters accordin...
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02/08/2019
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
We present a novel method of compression of deep Convolutional Neural Ne...
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02/03/2019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity
Regularization of Deep Neural Networks (DNNs) for the sake of improving ...
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01/05/2018
Learning 3D-FilterMap for Deep Convolutional Neural Networks
We present a novel and compact architecture for deep Convolutional Neura...
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11/28/2017
WSNet: Compact and Efficient Networks with Weight Sampling
We present a new approach and a novel architecture, termed WSNet, for le...
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09/05/2017
Discriminative Similarity for Clustering and Semi-Supervised Learning
Similarity-based clustering and semi-supervised learning methods separat...
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04/06/2016
Learning A Deep ℓ_∞ Encoder for Hashing
We investigate the ℓ_∞-constrained representation which demonstrates rob...
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01/16/2016
Studying Very Low Resolution Recognition Using Deep Networks
Visual recognition research often assumes a sufficient resolution of the...
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01/16/2016
D^3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
In this paper, we design a Deep Dual-Domain (D^3) based fast restoration...
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04/22/2015
Self-Tuned Deep Super Resolution
Deep learning has been successfully applied to image super resolution (S...
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03/12/2015
Designing A Composite Dictionary Adaptively From Joint Examples
We study the complementary behaviors of external and internal examples i...
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03/03/2015
Learning Super-Resolution Jointly from External and Internal Examples
Single image super-resolution (SR) aims to estimate a high-resolution (H...
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10/08/2012
Epitome for Automatic Image Colorization
Image colorization adds color to grayscale images. It not only increases...
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10/02/2012
