research
∙
06/25/2023
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input
The ability to model intra-modal and inter-modal interactions is fundame...
share
research
∙
05/04/2023
Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval
Image retrieval plays an important role in the Internet world. Usually, ...
research
∙
04/15/2023
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition
Recently, end-to-end models have been widely used in automatic speech re...
research
∙
02/28/2023
DC-Former: Diverse and Compact Transformer for Person Re-Identification
In person re-identification (re-ID) task, it is still challenging to lea...
research
∙
02/02/2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities
Causal inference has numerous real-world applications in many domains, s...
research
∙
04/29/2022
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning
Knowledge graph (KG) embedding methods which map entities and relations ...
research
∙
04/03/2022
ESCM^2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation
Accurate estimation of post-click conversion rate is critical for buildi...
research
∙
03/13/2022
Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching
The development of scene text recognition (STR) in the era of deep learn...
research
∙
07/01/2021
CBNetV2: A Composite Backbone Network Architecture for Object Detection
Consistent performance gains through exploring more effective network st...
research
∙
06/18/2021
Low Resource German ASR with Untranscribed Data Spoken by Non-native Children – INTERSPEECH 2021 Shared Task SPAPL System
This paper describes the SPAPL system for the INTERSPEECH 2021 Challenge...
research
∙
06/18/2021
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition
Non-autoregressive mechanisms can significantly decrease inference time ...
research
∙
05/23/2021
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Malicious application of deepfakes (i.e., technologies can generate targ...
research
∙
11/07/2020
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
Distance based knowledge graph embedding methods show promising results ...
research
∙
10/28/2020
CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition
We propose a CTC alignment-based single step non-autoregressive transfor...
research
∙
09/16/2020
Question Directed Graph Attention Network for Numerical Reasoning over Text
Numerical reasoning over texts, such as addition, subtraction, sorting a...
research
∙
05/19/2020
Riemannian Proximal Policy Optimization
In this paper, We propose a general Riemannian proximal optimization alg...
research
∙
04/26/2020
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check
Chinese Spelling Check (CSC) is a task to detect and correct spelling er...
research
∙
04/19/2020
Intention Propagation for Multi-agent Reinforcement Learning
A hallmark of an AI agent is to mimic human beings to understand and int...
research
∙
09/08/2019
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
The ability of semantic reasoning over the sentence pair is essential fo...
research
∙
08/16/2019
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
In this paper, we report our method for the Information Extraction task ...
research
∙
03/11/2019
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning
The ambiguous annotation criteria bring into the divergence of Chinese W...
research
∙
03/11/2019
Singing voice conversion with non-parallel data
Singing voice conversion is a task to convert a song sang by a source si...
research
∙
12/18/2018
BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine
In this paper, we propose a recurrent neural network (RNN)-based MIDI mu...
research
∙
11/26/2018
A Policy Gradient Method with Variance Reduction for Uplift Modeling
Uplift modeling aims to directly model the incremental impact of a treat...
research
∙
11/21/2018
A Novel Integrated Framework for Learning both Text Detection and Recognition
In this paper, we propose a novel integrated framework for learning both...
research
∙
08/23/2018
Latent Dirichlet Allocation for Internet Price War
Internet market makers are always facing intense competitive environment...
research
∙
07/13/2018
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units
In this paper, we present an end-to-end automatic speech recognition sys...
research
∙
01/12/2018
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience
We present AliMe Assist, an intelligent assistant designed for creating ...
research
∙
11/23/2017
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce
In this paper, we study transfer learning for the PI and NLI problems, a...
research
∙
11/03/2017
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI)
We present PS-DBSCAN, a communication efficient parallel DBSCAN algorith...
research
∙
04/20/2016
Speaker Cluster-Based Speaker Adaptive Training for Deep Neural Network Acoustic Modeling
A speaker cluster-based speaker adaptive training (SAT) method under dee...
research
∙
03/19/2011
Refining Recency Search Results with User Click Feedback
Traditional machine-learned ranking systems for web search are often tra...
research
∙
03/31/2010
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Contextual bandit algorithms have become popular for online recommendati...
research
∙
02/28/2010
