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06/07/2023
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks
Large-scale joint training of multimodal models, e.g., CLIP, have demons...
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04/18/2023
Differentiable Genetic Programming for High-dimensional Symbolic Regression
Symbolic regression (SR) is the process of discovering hidden relationsh...
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02/27/2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
Reducing communication overhead in federated learning (FL) is challengin...
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01/14/2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Neural Architecture Search (NAS) has received increasing attention becau...
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12/28/2022
Differentiable Search of Accurate and Robust Architectures
Deep neural networks (DNNs) are found to be vulnerable to adversarial at...
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12/23/2022
DAS: Neural Architecture Search via Distinguishing Activation Score
Neural Architecture Search (NAS) is an automatic technique that can sear...
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11/21/2022
H-VFI: Hierarchical Frame Interpolation for Videos with Large Motions
Capitalizing on the rapid development of neural networks, recent video f...
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10/11/2022
Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms
Evolutionary computation-based neural architecture search (ENAS) is a po...
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09/17/2022
Continuously Controllable Facial Expression Editing in Talking Face Videos
Recently audio-driven talking face video generation has attracted consid...
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07/03/2022
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Neural Architecture Search (NAS) can automatically design architectures ...
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05/22/2022
Human Instance Matting via Mutual Guidance and Multi-Instance Refinement
This paper introduces a new matting task called human instance matting (...
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04/13/2022
Dynamic Neural Textures: Generating Talking-Face Videos with Continuously Controllable Expressions
Recently, talking-face video generation has received considerable attent...
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03/02/2022
A Unified Query-based Paradigm for Point Cloud Understanding
3D point cloud understanding is an important component in autonomous dri...
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11/15/2021
Evolving Deep Neural Networks for Collaborative Filtering
Collaborative Filtering (CF) is widely used in recommender systems to mo...
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08/09/2021
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search
Neural architecture search (NAS), which automatically designs the archit...
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07/28/2021
Homogeneous Architecture Augmentation for Neural Predictor
Neural Architecture Search (NAS) can automatically design well-performed...
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05/03/2021
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search
Arrhythmia is a cardiovascular disease that manifests irregular heartbea...
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04/22/2021
Deep Video Matting via Spatio-Temporal Alignment and Aggregation
Despite the significant progress made by deep learning in natural image ...
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04/16/2021
Semantic Image Matting
Natural image matting separates the foreground from background in fracti...
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09/06/2020
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks
Parameter updating is an important stage in parallelism-based distribute...
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08/30/2020
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms
Evolutionary Neural Architecture Search (ENAS) can automatically design ...
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08/25/2020
A Survey on Evolutionary Neural Architecture Search
Deep Neural Networks (DNNs) have achieved great success in many applicat...
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08/15/2020
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising
Hyperspectral images (HSIs) are susceptible to various noise factors lea...
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07/26/2020
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
We present a novel end-to-end framework named as GSNet (Geometric and Sc...
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07/23/2020
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training
Synchronous strategies with data parallelism, such as the Synchronous St...
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02/24/2020
3DSSD: Point-based 3D Single Stage Object Detector
Currently, there have been many kinds of voxel-based 3D single stage det...
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02/16/2020
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures
Numerous Convolutional Neural Network (CNN) models have demonstrated the...
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02/16/2020
ArcText: An Unified Text Approach to Describing Convolutional Neural Network Architectures
Numerous Convolutional Neural Network (CNN) models have demonstrated the...
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07/22/2019
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
We present a new two-stage 3D object detection framework, named sparse-t...
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03/21/2019
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification
In recent years, convolutional neural networks (CNNs) have become deeper...
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03/10/2019
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
Image classification is a difficult machine learning task, where Convolu...
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12/13/2018
IPOD: Intensive Point-based Object Detector for Point Cloud
We present a novel 3D object detection framework, named IPOD, based on r...
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10/28/2018
Automatically Evolving CNN Architectures Based on Blocks
The performance of Convolutional Neural Networks (CNNs) highly relies on...
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08/20/2018
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification
Convolutional Neural Networks (CNNs) have demonstrated their superiority...
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08/20/2018
A Hybrid DE Approach to Designing CNN for Image Classification
Convolutional Neural Networks (CNNs) have demonstrated their superiority...
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08/11/2018
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification
Convolutional Neural Networks (CNNs) have gained a remarkable success on...
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03/17/2018
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
Convolutional neural networks (CNNs) are one of the most effective deep ...
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02/24/2018
IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems
Inverted Generational Distance (IGD) has been widely considered as a rel...
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02/24/2018
Improved Regularity Model-based EDA for Many-objective Optimization
The performance of multi-objective evolutionary algorithms deteriorates ...
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12/13/2017
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
Deep Learning (DL) aims at learning the meaningful representations. A me...
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12/13/2017
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification
Convolutional auto-encoders have shown their remarkable performance in s...
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10/30/2017
