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09/04/2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments
Algorithm fairness has become a central problem for the broad adoption o...
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08/16/2023
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation
Methods: In this study, a benchmark Abdominal Adipose Tissue CT Image Da...
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08/13/2023
TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution
The goal of scene text image super-resolution is to reconstruct high-res...
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08/10/2023
Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images
Structural MRI and PET imaging play an important role in the diagnosis o...
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07/12/2023
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human
3D human pose estimation has been researched for decades with promising ...
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06/27/2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
Adversarial training is one of the best-performing methods in improving ...
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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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05/24/2023
Uncovering and Quantifying Social Biases in Code Generation
With the popularity of automatic code generation tools, such as Copilot,...
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04/15/2023
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model
Recent years have witnessed the sustained evolution of misinformation th...
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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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03/28/2023
Robustness of Complex Networks Considering Load and Cascading Failure under Edge-removal Attack
In the understanding of important edges in complex networks, the edges w...
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03/04/2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Causal analysis for time series data, in particular estimating individua...
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02/23/2023
A novel efficient Multi-view traffic-related object detection framework
With the rapid development of intelligent transportation system applicat...
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02/21/2023
Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios
In order to reveal the rationale behind model predictions, many works ha...
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02/19/2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders
Estimating treatment effects plays a crucial role in causal inference, h...
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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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11/17/2022
D^3ETR: Decoder Distillation for Detection Transformer
While various knowledge distillation (KD) methods in CNN-based detectors...
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11/17/2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
In electronic trading markets, limit order books (LOBs) provide informat...
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11/08/2022
Significance-Based Categorical Data Clustering
Although numerous algorithms have been proposed to solve the categorical...
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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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10/14/2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
Recent years have witnessed the rise of misinformation campaigns that sp...
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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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09/21/2022
Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling
Transition to Adulthood is an essential life stage for many families. Th...
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09/19/2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
There is currently a large gap in performance between the statistically ...
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08/20/2022
Dual Space Coupling Model Guided Overlap-Free Scatterplot
The overdraw problem of scatterplots seriously interferes with the visua...
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08/12/2022
Automated Utterance Labeling of Conversations Using Natural Language Processing
Conversational data is essential in psychology because it can help resea...
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07/27/2022
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis
Pathologies systematically induce morphological changes, thus providing ...
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06/01/2022
The statistical nature of h-index of a network node
Evaluating the importance of a network node is a crucial task in network...
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03/31/2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Physics-informed machine learning (PIML), referring to the combination o...
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02/24/2022
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement
Malicious accounts spreading misinformation has led to widespread false ...
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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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02/14/2022
On the Importance of Building High-quality Training Datasets for Neural Code Search
The performance of neural code search is significantly influenced by the...
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01/21/2022
Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer
User preference music transfer (UPMT) is a new problem in music style tr...
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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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01/08/2022
Forecasting Loss of Signal in Optical Networks with Machine Learning
Loss of Signal (LOS) represents a significant cost for operators of opti...
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11/15/2021
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Clustering of hyperspectral images is a fundamental but challenging task...
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10/29/2021
Unsupervised PET Reconstruction from a Bayesian Perspective
Positron emission tomography (PET) reconstruction has become an ill-pose...
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10/28/2021
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
Recent years have witnessed an increasing use of coordinated accounts on...
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10/27/2021
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
Object detection has achieved promising success, but requires large-scal...
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10/12/2021
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids
The electric grid is a key enabling infrastructure for the ambitious tra...
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10/11/2021
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation
Questions in Community Question Answering (CQA) sites are recommended to...
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10/10/2021
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization
Long text understanding is important yet challenging in natural language...
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09/14/2021
Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
Non-autoregressive (NAR) transformer models have been studied intensivel...
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09/07/2021
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
The data scarcity problem in Electroencephalography (EEG) based affectiv...
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09/01/2021
Sparse principal component analysis for high-dimensional stationary time series
We consider the sparse principal component analysis for high-dimensional...
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08/18/2021
MeDiaQA: A Question Answering Dataset on Medical Dialogues
In this paper, we introduce MeDiaQA, a novel question answering(QA) data...
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08/06/2021
StrucTexT: Structured Text Understanding with Multi-Modal Transformers
Structured text understanding on Visually Rich Documents (VRDs) is a cru...
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07/17/2021
Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election
Identifying and characterizing disinformation in political discourse on ...
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06/25/2021
