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06/28/2023
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization
Vertical Federated Learning (VFL) attracts increasing attention because ...
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03/02/2023
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training
Learning inter-image similarity is crucial for 3D medical images self-su...
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02/03/2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
Current methods of blended targets domain adaptation (BTDA) usually infe...
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01/31/2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
Recent state-of-the-art source-free domain adaptation (SFDA) methods hav...
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10/19/2022
On Learning Fairness and Accuracy on Multiple Subgroups
We propose an analysis in fair learning that preserves the utility of th...
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06/29/2022
Momentum Diminishes the Effect of Spectral Bias in Physics-Informed Neural Networks
Physics-informed neural network (PINN) algorithms have shown promising r...
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05/26/2022
Fair Representation Learning through Implicit Path Alignment
We consider a fair representation learning perspective, where optimal pr...
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03/03/2022
On Learning Contrastive Representations for Learning with Noisy Labels
Deep neural networks are able to memorize noisy labels easily with a sof...
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03/03/2022
Weakly Supervised Object Localization as Domain Adaption
Weakly supervised object localization (WSOL) focuses on localizing objec...
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02/21/2022
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator
With the prevalence of wearable devices, inertial measurement unit (IMU)...
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02/21/2022
Domain-Augmented Domain Adaptation
Unsupervised domain adaptation (UDA) enables knowledge transfer from the...
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11/13/2021
Full-attention based Neural Architecture Search using Context Auto-regression
Self-attention architectures have emerged as a recent advancement for im...
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05/30/2021
On the benefits of representation regularization in invariance based domain generalization
A crucial aspect in reliable machine learning is to design a deployable ...
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05/09/2021
Aggregating From Multiple Target-Shifted Sources
Multi-source domain adaptation aims at leveraging the knowledge from mul...
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12/14/2020
Invariant Feature Learning for Sensor-based Human Activity Recognition
Wearable sensor-based human activity recognition (HAR) has been a resear...
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09/30/2020
Uncertainty Estimation and Sample Selection for Crowd Counting
We present a method for image-based crowd counting, one that can predict...
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09/28/2020
Distribution Matching for Crowd Counting
In crowd counting, each training image contains multiple people, where e...
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07/30/2020
Beyond ℋ-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
We reveal the incoherence between the widely-adopted empirical domain ad...
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07/21/2020
Domain Generalization with Optimal Transport and Metric Learning
Generalizing knowledge to unseen domains, where data and labels are unav...
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07/14/2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Policy gradient methods have shown success in learning control policies ...
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05/24/2020
Discriminative Active Learning for Domain Adaptation
Domain Adaptation aiming to learn a transferable feature between differe...
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02/20/2020
MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing
Seed scheduling is a prominent factor in determining the yields of hybri...
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12/03/2019
Multi-view Subspace Clustering via Partition Fusion
Multi-view clustering is an important approach to analyze multi-view dat...
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11/20/2019
Deep Active Learning: Unified and Principled Method for Query and Training
In this paper, we proposed a unified and principled method for both quer...
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10/21/2019
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
This paper focuses on projection-free methods for solving smooth Online ...
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10/21/2019
Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning
This paper focuses on projection-free methods for solving smooth Online ...
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10/10/2019
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
This extended abstract presents a visualization system, which is designe...
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05/21/2019
Clustering with Similarity Preserving
Graph-based clustering has shown promising performance in many tasks. A ...
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03/21/2019
A Principled Approach for Learning Task Similarity in Multitask Learning
Multitask learning aims at solving a set of related tasks simultaneously...
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12/11/2018
When to Preempt? Age of Information Minimization under Link Capacity Constraint
In this paper, we consider a scenario where a source continuously monito...
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06/22/2018
To Skip or to Switch? Minimizing Age of Information under Link Capacity Constraint
Consider a scenario where a source continuously monitors an object and s...
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11/10/2016