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09/06/2023
Feasibility of Local Trajectory Planning for Level-2+ Semi-autonomous Driving without Absolute Localization
Autonomous driving has long grappled with the need for precise absolute ...
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08/09/2023
Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation
Multi-behavior recommendation algorithms aim to leverage the multiplex i...
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06/27/2023
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
Semantic scene completion (SSC) jointly predicts the semantics and geome...
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06/27/2023
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation
Reliable LiDAR panoptic segmentation (LPS), including both semantic and ...
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06/21/2023
Towards Mitigating Spurious Correlations in the Wild: A Benchmark a more Realistic Dataset
Deep neural networks often exploit non-predictive features that are spur...
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06/08/2023
Robust Learning with Progressive Data Expansion Against Spurious Correlation
While deep learning models have shown remarkable performance in various ...
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06/02/2023
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
To improve the efficiency and sustainability of learning deep models, we...
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05/30/2023
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
Neural networks trained with (stochastic) gradient descent have an induc...
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05/23/2023
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing
Machine learning models pre-trained on large datasets have achieved rema...
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03/15/2023
On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem
In practical engineering experiments, the data obtained through detector...
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03/06/2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
Multimodal contrastive pretraining has been used to train multimodal rep...
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12/20/2022
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds
Reliable and automated 3D plant shoot segmentation is a core prerequisit...
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11/27/2022
Machine Learning for Smart and Energy-Efficient Buildings
Energy consumption in buildings, both residential and commercial, accoun...
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11/25/2022
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation
Unsupervised foreground-background segmentation aims at extracting salie...
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11/06/2022
Learning to Annotate Part Segmentation with Gradient Matching
The success of state-of-the-art deep neural networks heavily relies on t...
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11/06/2022
Distilling Representations from GAN Generator via Squeeze and Span
In recent years, generative adversarial networks (GANs) have been an act...
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11/05/2022
Local Manifold Augmentation for Multiview Semantic Consistency
Multiview self-supervised representation learning roots in exploring sem...
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10/18/2022
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Data poisoning causes misclassification of test time target examples by ...
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10/06/2022
A correlated pseudo-marginal approach to doubly intractable problems
Doubly intractable models are encountered in a number of fields, e.g. so...
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09/22/2022
Neural Networks Base on Power Method and Inverse Power Method for Solving Linear Eigenvalue Problems
In this article, we propose three kinds of neural networks inspired by p...
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09/19/2022
Sequence-to-Set Generative Models
In this paper, we propose a sequence-to-set method that can transform an...
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08/18/2022
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization
Maximizing a monotone submodular function is a fundamental task in machi...
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08/16/2022
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback
In this paper, we revisit the online non-monotone continuous DR-submodul...
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08/14/2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks
A powerful category of data poisoning attacks modify a subset of trainin...
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08/07/2022
A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features
By coordinating terminal smart devices or microprocessors to engage in c...
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07/15/2022
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification
Deep learning-based melanoma classification with dermoscopic images has ...
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07/01/2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Dynamic graphs refer to graphs whose structure dynamically changes over ...
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06/16/2022
Vesyla-II: An Algorithm Library Development Tool for Synchoros VLSI Design Style
High-level synthesis (HLS) has been researched for decades and is still ...
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05/04/2022
Proximal ADMM for Nonconvex and Nonsmooth Optimization
By enabling the nodes or agents to solve small-sized subproblems to achi...
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05/04/2022
Optimal Network Charge for Peer-to-Peer Energy Trading: A Grid Perspective
Peer-to-peer (P2P) energy trading is a promising market scheme to accomm...
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04/10/2022
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention
Interpretability is an important property for visual models as it helps ...
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02/13/2022
Feature Construction and Selection for PV Solar Power Modeling
Using solar power in the process industry can reduce greenhouse gas emis...
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01/24/2022
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN
The semantically disentangled latent subspace in GAN provides rich inter...
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01/03/2022
Continuous Submodular Maximization: Boosting via Non-oblivious Function
In this paper, we revisit the constrained and stochastic continuous subm...
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12/21/2021
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients
It is vital to accurately estimate the value function in Deep Reinforcem...
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12/20/2021
Comprehensive Performance Evaluation of LID Practices for the Sponge City Construction: A Case Study in Guangxi, China
Sponge city construction is a new concept of urban stormwater management...
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07/13/2021
Learnability of Learning Performance and Its Application to Data Valuation
For most machine learning (ML) tasks, evaluating learning performance on...
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06/30/2021
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications
Data-driven approaches have been applied to many problems in urban compu...
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06/04/2021
Language Scaling for Universal Suggested Replies Model
We consider the problem of scaling automated suggested replies for Outlo...
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05/20/2021
Three-body problem – from Newton to supercomputer plus machine learning
The famous three-body problem can be traced back to Newton in 1687, but ...
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04/22/2021
A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization
This paper concerns a convex, stochastic zeroth-order optimization (S-ZO...
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04/01/2021
Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs
We propose an unsupervised foreground-background segmentation method via...
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03/20/2021
Greenplum: A Hybrid Database for Transactional and Analytical Workloads
Demand for enterprise data warehouse solutions to support real-time Onli...
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02/25/2021
Bias-reduced multi-step hindsight experience replay
Multi-goal reinforcement learning is widely used in planning and robot m...
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12/29/2020
Selling Renewable Utilization Service to Consumers via Cloud Energy Storage
This paper proposes a cloud energy storage (CES) model for enabling loca...
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11/01/2020
Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test
The Kolmogorov-Smirnov (KS) test is popularly used in many applications,...
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10/29/2020
Optimal Sharing and and Fair Cost Allocation of Community Energy Storage
This paper studies an optimal energy storage (ES) sharing model which is...
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06/06/2020
EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors
Early prediction of students at risk (STAR) is an effective and signific...
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01/03/2020
A Proximal Linearization-based Decentralized Method for Nonconvex Problems with Nonlinear Constraints
Decentralized optimization for non-convex problems are now demanding by ...
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11/03/2019