The ability to model intra-modal and inter-modal interactions is fundame...
Image retrieval plays an important role in the Internet world. Usually, ...
Recently, end-to-end models have been widely used in automatic speech
re...
In person re-identification (re-ID) task, it is still challenging to lea...
Causal inference has numerous real-world applications in many domains, s...
Knowledge graph (KG) embedding methods which map entities and relations ...
Accurate estimation of post-click conversion rate is critical for buildi...
The development of scene text recognition (STR) in the era of deep learn...
Consistent performance gains through exploring more effective network
st...
This paper describes the SPAPL system for the INTERSPEECH 2021 Challenge...
Non-autoregressive mechanisms can significantly decrease inference time ...
Malicious application of deepfakes (i.e., technologies can generate targ...
Distance based knowledge graph embedding methods show promising results ...
We propose a CTC alignment-based single step non-autoregressive transfor...
Numerical reasoning over texts, such as addition, subtraction, sorting a...
In this paper, We propose a general Riemannian proximal optimization
alg...
Chinese Spelling Check (CSC) is a task to detect and correct spelling er...
A hallmark of an AI agent is to mimic human beings to understand and int...
The ability of semantic reasoning over the sentence pair is essential fo...
In this paper, we report our method for the Information Extraction task ...
The ambiguous annotation criteria bring into the divergence of Chinese W...
Singing voice conversion is a task to convert a song sang by a source si...
In this paper, we propose a recurrent neural network (RNN)-based MIDI mu...
Uplift modeling aims to directly model the incremental impact of a treat...
In this paper, we propose a novel integrated framework for learning both...
Internet market makers are always facing intense competitive environment...
In this paper, we present an end-to-end automatic speech recognition sys...
We present AliMe Assist, an intelligent assistant designed for creating ...
In this paper, we study transfer learning for the PI and NLI problems, a...
We present PS-DBSCAN, a communication efficient parallel DBSCAN algorith...
A speaker cluster-based speaker adaptive training (SAT) method under dee...
Traditional machine-learned ranking systems for web search are often tra...
Contextual bandit algorithms have become popular for online recommendati...
Personalized web services strive to adapt their services (advertisements...