Singapore Management University

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SMU generates leading edge research with global impact as well as produce broad-based, creative and entrepreneurial leaders for the knowledge-based economy.

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging

An important aspect of health monitoring is effective logging of food co...
09/26/2019 ∙ by Doyen Sahoo, et al. ∙ 60 ∙ share

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Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images

Food computing is playing an increasingly important role in human daily ...
05/03/2019 ∙ by Hao Wang, et al. ∙ 34 ∙ share

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Visual Commonsense R-CNN

We present a novel unsupervised feature representation learning method, ...
02/27/2020 ∙ by Tan Wang, et al. ∙ 26 ∙ share

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Recent Advances in Deep Learning for Object Detection

Object detection is a fundamental visual recognition problem in computer...
08/10/2019 ∙ by Xiongwei Wu, et al. ∙ 21 ∙ share

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A Survey on Predicting the Factuality and the Bias of News Media

The present level of proliferation of fake, biased, and propagandistic c...
03/16/2021 ∙ by Preslav Nakov, et al. ∙ 19 ∙ share

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Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...
07/18/2020 ∙ by Dong Zhang, et al. ∙ 18 ∙ share

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Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN

We present an invert-and-edit framework to automatically transform facia...
11/05/2020 ∙ by V N S Rama Krishna Pinnimty, et al. ∙ 15 ∙ share

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Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism

Cross-modal food retrieval is an important task to perform analysis of f...
03/09/2020 ∙ by Hao Wang, et al. ∙ 14 ∙ share

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Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images

Recipe generation from food images and ingredients is a challenging task...
07/27/2020 ∙ by Hao Wang, et al. ∙ 13 ∙ share

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Multi-View Collaborative Network Embedding

Real-world networks often exist with multiple views, where each view des...
05/17/2020 ∙ by Sezin Kircali Ata, et al. ∙ 12 ∙ share

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Meta-Transfer Learning through Hard Tasks

Meta-learning has been proposed as a framework to address the challengin...
10/07/2019 ∙ by Qianru Sun, et al. ∙ 9 ∙ share

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Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning

Large-scale screening for potential threats with limited resources and c...
11/20/2019 ∙ by Sanket Shah, et al. ∙ 7 ∙ share

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Reinforced Data Sampling for Model Diversification

With the rising number of machine learning competitions, the world has w...
06/12/2020 ∙ by Hoang D. Nguyen, et al. ∙ 7 ∙ share

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Robust Graph Learning from Noisy Data

Learning graphs from data automatically has shown encouraging performanc...
12/17/2018 ∙ by Zhao Kang, et al. ∙ 4 ∙ share

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Competitive Ratios for Online Multi-capacity Ridesharing

In multi-capacity ridesharing, multiple requests (e.g., customers, food ...
09/16/2020 ∙ by Meghna Lowalekar, et al. ∙ 1 ∙ share

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Robust Estimation of Similarity Transformation for Visual Object Tracking with Correlation Filters

Most of existing correlation filter-based tracking approaches only estim...
12/14/2017 ∙ by Yang Li, et al. ∙ 0 ∙ share

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Feature Agglomeration Networks for Single Stage Face Detection

Recent years have witnessed promising results of face detection using de...
12/03/2017 ∙ by Jialiang Zhang, et al. ∙ 0 ∙ share

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Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

A popular recent approach to answering open-domain questions is to first...
11/14/2017 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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R^3: Reinforced Reader-Ranker for Open-Domain Question Answering

In recent years researchers have achieved considerable success applying ...
08/31/2017 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis

An electroencephalography (EEG) based brain activity recognition is a fu...
09/26/2017 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Mobile Big Data Analytics Using Deep Learning and Apache Spark

The proliferation of mobile devices, such as smartphones and Internet of...
02/23/2016 ∙ by Mohammad Abu Alsheikh, et al. ∙ 0 ∙ share

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Learning Natural Language Inference with LSTM

Natural language inference (NLI) is a fundamentally important task in na...
12/30/2015 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking

Application programming interfaces (APIs) offer a plethora of functional...
05/01/2017 ∙ by Ferdian Thung, et al. ∙ 0 ∙ share

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Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation

Compared to Multilayer Neural Networks with real weights, Binary Multila...
03/12/2015 ∙ by Zhiyong Cheng, et al. ∙ 0 ∙ share

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Robust Optimization for Tree-Structured Stochastic Network Design

Stochastic network design is a general framework for optimizing network ...
12/01/2016 ∙ by Xiaojian Wu, et al. ∙ 0 ∙ share

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A Compare-Aggregate Model for Matching Text Sequences

Many NLP tasks including machine comprehension, answer selection and tex...
11/06/2016 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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VHT: Vertical Hoeffding Tree

IoT Big Data requires new machine learning methods able to scale to larg...
07/28/2016 ∙ by Nicolas Kourtellis, et al. ∙ 0 ∙ share

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SOL: A Library for Scalable Online Learning Algorithms

SOL is an open-source library for scalable online learning algorithms, a...
10/28/2016 ∙ by Yue Wu, et al. ∙ 0 ∙ share

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Scalable Image Retrieval by Sparse Product Quantization

Fast Approximate Nearest Neighbor (ANN) search technique for high-dimens...
03/15/2016 ∙ by Qingqun Ning, et al. ∙ 0 ∙ share

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Large-scale Online Feature Selection for Ultra-high Dimensional Sparse Data

Feature selection with large-scale high-dimensional data is important ye...
09/27/2014 ∙ by Yue Wu, et al. ∙ 0 ∙ share

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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...
11/23/2017 ∙ by Jianfei Yu, et al. ∙ 0 ∙ share

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Machine Comprehension Using Match-LSTM and Answer Pointer

Machine comprehension of text is an important problem in natural languag...
08/29/2016 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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On Analyzing Job Hop Behavior and Talent Flow Networks

Analyzing job hopping behavior is important for the understanding of job...
11/16/2017 ∙ by Richard J. Oentaryo, et al. ∙ 0 ∙ share

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DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision

Estimating the travel time of a path is of great importance to smart urb...
02/06/2018 ∙ by Hanyuan Zhang, et al. ∙ 0 ∙ share

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Trajectory-driven Influential Billboard Placement

In this paper we propose and study the problem of trajectory-driven infl...
02/06/2018 ∙ by Ping Zhang, et al. ∙ 0 ∙ share

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URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Malicious URLs host unsolicited content and are used to perpetrate cyber...
02/09/2018 ∙ by Hung Le, et al. ∙ 0 ∙ share

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Discovering Hidden Topical Hubs and Authorities in Online Social Networks

Finding influential users in online social networks is an important prob...
02/20/2018 ∙ by Roy Ka-Wei Lee, et al. ∙ 0 ∙ share

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Categorizing the Content of GitHub README Files

README files play an essential role in shaping a developer's first impre...
02/20/2018 ∙ by Gede Artha Azriadi Prana, et al. ∙ 0 ∙ share

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Network-Clustered Multi-Modal Bug Localization

Developers often spend much effort and resources to debug a program. To ...
02/27/2018 ∙ by Thong Hoang, et al. ∙ 0 ∙ share

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Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code

Translating a program written in one programming language to another can...
03/13/2018 ∙ by Nghi D. Q. Bui, et al. ∙ 0 ∙ share

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Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection

Recent years have witnessed many exciting achievements for object detect...
03/22/2018 ∙ by Xiongwei Wu, et al. ∙ 0 ∙ share

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Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings

With the advent of sequential matching (of supply and demand) systems (u...
03/27/2018 ∙ by Tanvi Verma, et al. ∙ 0 ∙ share

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Adaptive Cost-sensitive Online Classification

Cost-Sensitive Online Classification has drawn extensive attention in re...
04/06/2018 ∙ by Peilin Zhao, et al. ∙ 0 ∙ share

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Policy Gradient With Value Function Approximation For Collective Multiagent Planning

Decentralized (PO)MDPs provide an expressive framework for sequential de...
04/09/2018 ∙ by Duc Thien Nguyen, et al. ∙ 0 ∙ share

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Does Journaling Encourage Healthier Choices? Analyzing Healthy Eating Behaviors of Food Journalers

Past research has shown the benefits of food journaling in promoting min...
05/03/2018 ∙ by Palakorn Achananuparp, et al. ∙ 0 ∙ share

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Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites

In this paper, we proposed a novel framework which uses user interests i...
05/09/2018 ∙ by Roy Ka-Wei Lee, et al. ∙ 0 ∙ share

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On Reliability of Patch Correctness Assessment

Current state-of-the-art automatic software repair (ASR) techniques rely...
05/15/2018 ∙ by Xuan Bach D. Le, et al. ∙ 0 ∙ share

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Limit Theory for Moderate Deviation from Integrated GARCH Processes

This paper develops the limit theory of the GARCH(1,1) process that mode...
06/04/2018 ∙ by Yubo Tao, et al. ∙ 0 ∙ share

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A Co-Matching Model for Multi-choice Reading Comprehension

Multi-choice reading comprehension is a challenging task, which involves...
06/11/2018 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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RACK: Code Search in the IDE using Crowdsourced Knowledge

Traditional code search engines often do not perform well with natural l...
07/12/2018 ∙ by Mohammad Masudur Rahman, et al. ∙ 0 ∙ share

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