Recent investigations show that large language models (LLMs), specifical...
There is considerable evidence that machine learning algorithms have bet...
This paper assesses the equity impacts of for-hire autonomous vehicles (...
In medical image segmentation, it is often necessary to collect opinions...
Since Rendle and Krichene argued that commonly used sampling-based evalu...
Standard fine-tuning of large pre-trained language models (PLMs) for
dow...
Feature engineering is required to obtain better results for time series...
Open checkout-free grocery is the grocery store where the customers neve...
Clinically, the accurate annotation of lesions/tissues can significantly...
Fine-tuning large-scale pre-trained language models to downstream tasks
...
We describe a practically evaluated approach for training visual cattle ...
Convolutional Neural Network (CNN), which mimics human visual perception...
Urbanization has a strong impact on the health and wellbeing of populati...
We present a new method LiST for efficient fine-tuning of large pre-trai...
In this work, we study the problem of named entity recognition (NER) in ...
Fake news travels at unprecedented speeds, reaches global audiences and ...
Recently, Rendle has warned that the use of sampling-based top-k metrics...
Recently, linear regression models, such as EASE and SLIM, have shown to...
In this paper we publish the largest identity-annotated Holstein-Friesia...
Outlier ensemble methods have shown outstanding performance on the disco...
Since the recent study (Krichene and Rendle 2020) done by Krichene and R...
Neural sequence labeling is an important technique employed for many Nat...
Recent advances in information extraction have motivated the automatic
c...
Holstein Friesian cattle exhibit individually-characteristic black and w...
Product catalogs are valuable resources for eCommerce website. In the
ca...
Effective inference for a generative adversarial model remains an import...
Similar product recommendation is one of the most common scenes in
e-com...
Online recommendation systems make use of a variety of information sourc...
Causal inference is a critical research topic across many domains, such ...
Today social media has become the primary source for news. Via social me...
This paper describes a novel deep learning-based method for mitigating t...
Knowledge graph embedding (KGE) is a technique for learning continuous
e...
The past few years have witnessed the flourishing of crowdsourced medica...
Nowadays, crowd sensing becomes increasingly more popular due to the
ubi...
Question answering is an important and difficult task in the natural lan...