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08/30/2023
AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization
Contrastive Language-Image Pre-training (CLIP) models have shown promisi...
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08/29/2023
Advancing Adversarial Robustness Through Adversarial Logit Update
Deep Neural Networks are susceptible to adversarial perturbations. Adver...
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08/07/2023
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning
Continual lifelong learning is an machine learning framework inspired by...
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08/07/2023
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima
Deep neural networks (DNNs) have demonstrated promising results in vario...
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06/20/2023
BMAD: Benchmarks for Medical Anomaly Detection
Anomaly detection (AD) is a fundamental research problem in machine lear...
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06/16/2023
Inspire creativity with ORIBA: Transform Artists' Original Characters into Chatbots through Large Language Model
This research delves into the intersection of illustration art and artif...
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05/03/2023
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture
In digital pathology tasks, transformers have achieved state-of-the-art ...
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04/24/2023
Synthetic Datasets for Autonomous Driving: A Survey
Autonomous driving techniques have been flourishing in recent years whil...
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03/18/2023
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Recently, various deep learning methods have shown significant successes...
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02/21/2023
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines
NLP-based computer vision models, particularly vision transformers, have...
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12/23/2022
RMove: Recommending Move Method Refactoring Opportunities using Structural and Semantic Representations of Code
Incorrect placement of methods within classes is a typical code smell ca...
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10/26/2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Deep Neural Networks are vulnerable to adversarial attacks. Among many d...
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08/16/2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area
Multi-server Federated learning (FL) has been considered as a promising ...
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06/06/2022
Generalized Federated Learning via Sharpness Aware Minimization
Federated Learning (FL) is a promising framework for performing privacy-...
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05/31/2022
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations
Deep-learning models based on whole-slide digital pathology images (WSIs...
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05/18/2022
Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners
Based on digital whole slide scanning technique, artificial intelligence...
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05/01/2022
DDDM: a Brain-Inspired Framework for Robust Classification
Despite their outstanding performance in a broad spectrum of real-world ...
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04/30/2022
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities
As deep learning advances, there is an ever-growing demand for models ca...
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04/24/2022
Colorectal cancer survival prediction using deep distribution based multiple-instance learning
Several deep learning algorithms have been developed to predict survival...
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03/31/2022
Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering
Deep learning has become the mainstream methodological choice for analyz...
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02/20/2022
A Unified Nonparametric Test of Transformations on Distribution Functions with Nuisance Parameters
This paper proposes a simple unified approach to testing transformations...
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01/26/2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Knowledge distillation (KD) achieves promising results on the challengin...
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01/08/2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning
Federated learning (FL) provides a high efficient decentralized machine ...
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01/03/2022
Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model
Due to lack of annotated pathological images, transfer learning has been...
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12/22/2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
Federated Learning (FL) is a decentralized machine learning architecture...
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11/21/2021
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Despite its great success, deep learning severely suffers from robustnes...
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11/05/2021
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer
Most early-stage colorectal cancer (CRC) patients can be cured by surger...
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08/23/2021
CoverTheFace: face covering monitoring and demonstrating using deep learning and statistical shape analysis
Wearing a mask is a strong protection against the COVID-19 pandemic, eve...
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03/28/2021
On the limits of algorithmic prediction across the globe
The impact of predictive algorithms on people's lives and livelihoods ha...
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02/12/2021
Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images
Multiple stains are usually used to highlight biological substances in b...
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02/12/2021
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients
Federated learning (FL) is a new machine learning framework which trains...
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10/05/2020
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Human-annotated labels are often prone to noise, and the presence of suc...
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07/24/2020
Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning
Computational histopathology image diagnosis becomes increasingly popula...
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04/24/2020
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?
Deep learning has achieved a great success in natural image classificati...
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07/02/2019
Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition
A novel approach is provided for evaluating the benefits and burdens fro...
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02/22/2019
Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder
Accurate diagnosis of breast cancer in histopathology images is challeng...
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02/05/2019
End-to-End Open-Domain Question Answering with BERTserini
We demonstrate an end-to-end question answering system that integrates B...
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11/09/2018
