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09/07/2023
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications
Class activation mapping (CAM), a visualization technique for interpreti...
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08/20/2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Federated Learning (FL) enables multiple clients to collaboratively lear...
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05/25/2023
High-Similarity-Pass Attention for Single Image Super-Resolution
Recent developments in the field of non-local attention (NLA) have led t...
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04/03/2023
Properties and Potential Applications of Random Functional-Linked Types of Neural Networks
Random functional-linked types of neural networks (RFLNNs), e.g., the ex...
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12/02/2022
Global Learnable Attention for Single Image Super-Resolution
Self-similarity is valuable to the exploration of non-local textures in ...
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06/22/2022
Multi-party Secure Broad Learning System for Privacy Preserving
Multi-party learning is an indispensable technique for improving the lea...
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04/20/2022
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
Recently, Deep Neural Networks (DNNs) have been widely introduced into C...
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01/13/2022
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19
Coronavirus disease 2019 (COVID-19) continues to pose a great challenge ...
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12/15/2021
Graph Representation Learning via Contrasting Cluster Assignments
With the rise of contrastive learning, unsupervised graph representation...
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12/08/2020
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
Unsupervised domain adaptation (UDA) is to learn classification models t...
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03/22/2020
Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning
Low-rank Multi-view Subspace Learning (LMvSL) has shown great potential ...
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01/18/2020
Efficient Neural Architecture Search: A Broad Version
Efficient Neural Architecture Search (ENAS) achieves novel efficiency fo...
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09/07/2019
Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles
This paper investigates trajectory tracking problem for a class of under...
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05/17/2019
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention
Learning global features by aggregating information over multiple views ...
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12/17/2018
Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization
Out of practical concerns and with the expectation to achieve high overa...
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04/19/2018
Multi-view Hybrid Embedding: A Divide-and-Conquer Approach
We present a novel cross-view classification algorithm where the gallery...
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03/03/2018