With the continuous emergence of Chinese Large Language Models (LLMs), h...
The prevalence of domain adaptive semantic segmentation has prompted con...
Zero-Shot Learning (ZSL) aims to recognize unseen classes by generalizin...
This paper considers a novel application of deep AUC maximization (DAM) ...
Missing values are a fundamental problem in data science. Many datasets ...
In real applications, interaction between machine learning model and dom...
Image stitching is to construct panoramic images with wider field of vis...
GHOST, like the longest-chain protocol, is a chain selection protocol an...
Exploring the generalization of a text-to-SQL parser is essential for a
...
Terahertz (THz) band owning the abundant multi-ten-GHz bandwidth is capa...
We propose a distributionally robust return-risk model for Markov decisi...
Terahertz (THz) communication can provide high-capacity data transmissio...
In this paper, we propose a novel variable-length estimation approach fo...
Given thousands of equally accurate machine learning (ML) models, how ca...
In any given machine learning problem, there may be many models that cou...
In this paper, we present a novel and generic data-driven method to
serv...
This paper presents an ontology-aware pretrained language model (OPAL) f...
Customer churn prediction is a valuable task in many industries. In
tele...
Zero-shot learning is a learning regime that recognizes unseen classes b...
Modeling users' dynamic preferences from historical behaviors lies at th...
The combination of cell-free massive multiple-input multiple-output
(CF-...
Reconfigurable intelligent surface (RIS) and hybrid beamforming have bee...
Terahertz (THz) communications have been envisioned as a promising enabl...
Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
Building unified conversational agents has been a long-standing goal of ...
This paper considers a scenario in which the Terahertz (THz) transmitter...
Visual concept discovery has long been deemed important to improve
inter...
With the development of pre-trained language models, remarkable success ...
In this paper, we present a second order spatial compatibility (SC^2) me...
Generating informative scene graphs from images requires integrating and...
Terahertz (THz) communications have naturally promising physical layer
s...
Point cloud registration is a fundamental step for many tasks. In this p...
Data sparsity problem is a key challenge of Natural Language Understandi...
Metamaterials are composite materials with engineered geometrical micro-...
Domain adaptive semantic segmentation is recognized as a promising techn...
Terahertz (THz) communication is considered as an attractive way to over...
In Artificial Intelligence, interpreting the results of a Machine Learni...
Generalized Zero-Shot Learning (GZSL) is the task of leveraging semantic...
Terahertz (THz) communications with a frequency band 0.1-10 THz are
envi...
Visually-aware recommendation on E-commerce platforms aims to leverage v...
Recently, Text-to-SQL for multi-turn dialogue has attracted great intere...
This work aims to tackle the challenging heterogeneous graph encoding pr...
Terahertz (THz) communication (0.1-10 THz) is regarded as a promising
te...
Deep neural networks (DNNs) have been ubiquitously applied in many
appli...
Anomaly detection has wide applications in machine intelligence but is s...
Given a database schema, Text-to-SQL aims to translate a natural languag...
Terahertz (THz) communications have emerged as a promising candidate to
...
In this paper, we propose a quadruple-UPA architecture for realizing the...
Interpretability in machine learning (ML) is crucial for high stakes
dec...
Finding good correspondences is a critical prerequisite in many feature ...