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06/02/2023
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today
Recent investigations show that large language models (LLMs), specifical...
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03/25/2023
Behavioral Machine Learning? Computer Predictions of Corporate Earnings also Overreact
There is considerable evidence that machine learning algorithms have bet...
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01/14/2023
Regulating For-Hire Autonomous Vehicles for An Equitable Multimodal Transportation Network
This paper assesses the equity impacts of for-hire autonomous vehicles (...
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12/01/2022
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters
In medical image segmentation, it is often necessary to collect opinions...
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11/28/2022
Towards Reliable Item Sampling for Recommendation Evaluation
Since Rendle and Krichene argued that commonly used sampling-based evalu...
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10/31/2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
Standard fine-tuning of large pre-trained language models (PLMs) for dow...
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10/06/2022
Temporal Spatial Decomposition and Fusion Network for Time Series Forecasting
Feature engineering is required to obtain better results for time series...
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08/05/2022
An Efficient Person Clustering Algorithm for Open Checkout-free Groceries
Open checkout-free grocery is the grocery store where the customers neve...
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06/12/2022
SeATrans: Learning Segmentation-Assisted diagnosis model via Transforme
Clinically, the accurate annotation of lesions/tissues can significantly...
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05/24/2022
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models
Fine-tuning large-scale pre-trained language models to downstream tasks ...
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04/22/2022
Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification
We describe a practically evaluated approach for training visual cattle ...
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03/25/2022
CNN LEGO: Disassembling and Assembling Convolutional Neural Network
Convolutional Neural Network (CNN), which mimics human visual perception...
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12/17/2021
Deep Learning for Spatiotemporal Modeling of Urbanization
Urbanization has a strong impact on the health and wellbeing of populati...
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10/12/2021
LiST: Lite Self-training Makes Efficient Few-shot Learners
We present a new method LiST for efficient fine-tuning of large pre-trai...
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09/11/2021
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework
In this work, we study the problem of named entity recognition (NER) in ...
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06/22/2021
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Fake news travels at unprecedented speeds, reaches global audiences and ...
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06/20/2021
On Sampling Top-K Recommendation Evaluation
Recently, Rendle has warned that the use of sampling-based top-k metrics...
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05/27/2021
Towards a Better Understanding of Linear Models for Recommendation
Recently, linear regression models, such as EASE and SLIM, have shown to...
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05/05/2021
Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset
In this paper we publish the largest identity-annotated Holstein-Friesia...
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03/17/2021
Fairness-aware Outlier Ensemble
Outlier ensemble methods have shown outstanding performance on the disco...
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03/02/2021
On Estimating Recommendation Evaluation Metrics under Sampling
Since the recent study (Krichene and Rendle 2020) done by Krichene and R...
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10/07/2020
Adaptive Self-training for Few-shot Neural Sequence Labeling
Neural sequence labeling is an important technique employed for many Nat...
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08/16/2020
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning
Recent advances in information extraction have motivated the automatic c...
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06/16/2020
Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning
Holstein Friesian cattle exhibit individually-characteristic black and w...
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06/15/2020
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data
Product catalogs are valuable resources for eCommerce website. In the ca...
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04/21/2020
Decomposed Adversarial Learned Inference
Effective inference for a generative adversarial model remains an import...
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04/12/2020
Large-scale Real-time Personalized Similar Product Recommendations
Similar product recommendation is one of the most common scenes in e-com...
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04/07/2020
Practical Data Poisoning Attack against Next-Item Recommendation
Online recommendation systems make use of a variety of information sourc...
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02/05/2020
A Survey on Causal Inference
Causal inference is a critical research topic across many domains, such ...
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12/28/2019
Weak Supervision for Fake News Detection via Reinforcement Learning
Today social media has become the primary source for news. Via social me...
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12/22/2019
Atmospheric turbulence removal using convolutional neural network
This paper describes a novel deep learning-based method for mitigating t...
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04/26/2019
Towards Data Poisoning Attack against Knowledge Graph Embedding
Knowledge graph embedding (KGE) is a technique for learning continuous e...
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10/14/2018
Finding Similar Medical Questions from Question Answering Websites
The past few years have witnessed the flourishing of crowdsourced medica...
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10/10/2018
Towards Differentially Private Truth Discovery for Crowd Sensing Systems
Nowadays, crowd sensing becomes increasingly more popular due to the ubi...
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07/06/2017
