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06/08/2023
Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification
Whole slide image (WSI) refers to a type of high-resolution scanned tiss...
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05/25/2023
Uncovering and Categorizing Social Biases in Text-to-SQL
Content Warning: This work contains examples that potentially implicate ...
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04/03/2023
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
This paper explores the properties of the plain Vision Transformer (ViT)...
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01/29/2023
Boosting Automated Patch Correctness Prediction via Pre-trained Language Model
Automated program repair (APR) aims to fix software bugs automatically w...
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11/02/2022
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality
The transition towards carbon-neutral electricity is one of the biggest ...
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09/23/2022
The Beauty of Repetition in Machine Composition Scenarios
Repetition, a basic form of artistic creation, appears in most musical w...
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02/17/2022
SAITS: Self-Attention-based Imputation for Time Series
Missing data in time series is a pervasive problem that puts obstacles i...
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01/09/2022
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision
Learning dense point-wise semantics from unstructured 3D point clouds wi...
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02/27/2021
Statistical Inference for Local Granger Causality
Granger causality has been employed to investigate causality relations b...
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02/16/2021
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Metal implants can heavily attenuate X-rays in computed tomography (CT) ...
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06/28/2020
Interpretable Deepfake Detection via Dynamic Prototypes
Deepfake is one notorious application of deep learning research, leading...
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04/03/2019
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Driving datasets accelerate the development of intelligent driving and r...
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09/06/2017
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
The rapid growth of Electronic Health Records (EHRs), as well as the acc...
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07/06/2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Spatiotemporal forecasting has various applications in neuroscience, cli...
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05/14/2017
Detecting Statistical Interactions from Neural Network Weights
Interpreting deep neural networks can enable new applications for predic...
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10/20/2014
