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09/15/2023
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
Online advertisements are important elements in e-commerce sites, social...
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09/14/2023
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models
Current recommender systems employ large-sized embedding tables with uni...
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06/27/2023
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis
Multimodal Sentiment Analysis leverages multimodal signals to detect the...
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04/25/2023
TCR: Short Video Title Generation and Cover Selection with Attention Refinement
With the widespread popularity of user-generated short videos, it become...
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04/20/2023
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering
Text clustering, as one of the most fundamental challenges in unsupervis...
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04/20/2023
Search-Map-Search: A Frame Selection Paradigm for Action Recognition
Despite the success of deep learning in video understanding tasks, proce...
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04/20/2023
LA3: Efficient Label-Aware AutoAugment
Automated augmentation is an emerging and effective technique to search ...
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03/05/2023
Reparameterization through Spatial Gradient Scaling
Reparameterization aims to improve the generalization of deep neural net...
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02/21/2023
A General-Purpose Transferable Predictor for Neural Architecture Search
Understanding and modelling the performance of neural architectures is k...
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11/30/2022
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification
Evaluating neural network performance is critical to deep neural network...
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11/30/2022
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
Predicting neural architecture performance is a challenging task and is ...
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11/22/2022
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
Cross-domain recommendation is an important method to improve recommende...
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11/20/2022
Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes
Nested Named Entity Recognition (NNER) has been a long-term challenge to...
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05/13/2022
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
Systematicity, i.e., the ability to recombine known parts and rules to f...
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11/19/2021
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
Cross-domain recommendation can help alleviate the data sparsity issue i...
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10/13/2021
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
Although conceptualization has been widely studied in semantics and know...
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09/25/2021
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search
Neural architecture search automates neural network design and has achie...
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09/25/2021
L^2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
Neural architecture search (NAS) has achieved remarkable results in deep...
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08/02/2021
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
Language model pre-training based on large corpora has achieved tremendo...
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05/31/2021
Meta-HAR: Federated Representation Learning for Human Activity Recognition
Human activity recognition (HAR) based on mobile sensors plays an import...
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05/31/2021
Verdi: Quality Estimation and Error Detection for Bilingual
Translation Quality Estimation is critical to reducing post-editing effo...
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05/19/2021
Generative Adversarial Neural Architecture Search
Despite the empirical success of neural architecture search (NAS) in dee...
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10/27/2020
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications
Query-based document summarization aims to extract or generate a summary...
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09/01/2020
Neural Architecture Search For Keyword Spotting
Deep neural networks have recently become a popular solution to keyword ...
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04/13/2020
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models
The competitive performance of neural machine translation (NMT) critical...
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04/05/2020
GIANT: Scalable Creation of a Web-scale Ontology
Understanding what online users may pay attention to is key to content r...
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01/27/2020
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
The ability to ask questions is important in both human and machine inte...
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07/17/2019
Learning Privately over Distributed Features: An ADMM Sharing Approach
Distributed machine learning has been widely studied in order to handle ...
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05/21/2019
A User-Centered Concept Mining System for Query and Document Understanding at Tencent
Concepts embody the knowledge of the world and facilitate the cognitive ...
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02/27/2019
Multiresolution Graph Attention Networks for Relevance Matching
A large number of deep learning models have been proposed for the text m...
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02/27/2019
Learning to Generate Questions by Learning What not to Generate
Automatic question generation is an important technique that can improve...
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12/16/2018
Stochastic Distributed Optimization for Machine Learning from Decentralized Features
Distributed machine learning has been widely studied in the literature t...
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10/19/2018
A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems
Large models are prevalent in modern machine learning scenarios, includi...
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06/13/2018
Android Malware Detection using Large-scale Network Representation Learning
With the growth of mobile devices and applications, the number of malici...
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05/30/2018
Android Malware Detection based on Factorization Machine
With the increasing popularity of Android smart phones in recent years, ...
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03/01/2018
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis
Online real-estate information systems such as Zillow and Trulia have ga...
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03/01/2018
Recover Fine-Grained Spatial Data from Coarse Aggregation
In this paper, we study a new type of spatial sparse recovery problem, t...
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03/01/2018
Growing Story Forest Online from Massive Breaking News
We describe our experience of implementing a news content organization s...
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03/01/2018
Matching Natural Language Sentences with Hierarchical Sentence Factorization
Semantic matching of natural language sentences or identifying the relat...
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02/24/2018
A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization
Many machine learning models, including those with non-smooth regularize...
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02/24/2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
We study stochastic algorithms for solving non-convex optimization probl...
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02/21/2018
Matching Long Text Documents via Graph Convolutional Networks
Identifying the relationship between two text objects is a core research...
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09/13/2017
cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection
The cqrReg package for R is the first to introduce a family of robust, h...
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06/07/2016