no code implementations • 30 Oct 2024 • Yuli Liu, Min Liu, Christian Walder, Lexing Xie
Next Set Recommendation (NSRec), encompassing related tasks such as next basket recommendation and temporal sets prediction, stands as a trending research topic.
no code implementations • 23 Jun 2024 • Yuli Liu, Christian Walder, Lexing Xie
There are many personalized ranking approaches for item recommendation from implicit feedback like Bayesian Personalized Ranking (BPR) and listwise ranking.
no code implementations • 28 Feb 2023 • Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu
The sparse transformer can reduce the computational complexity of the self-attention layers to $O(n)$, whilst still being a universal approximator of continuous sequence-to-sequence functions.
1 code implementation • 25 Apr 2022 • Yuli Liu, Christian Walder, Lexing Xie
Sequential recommendation is a popular task in academic research and close to real-world application scenarios, where the goal is to predict the next action(s) of the user based on his/her previous sequence of actions.
1 code implementation • 31 Jan 2022 • Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
We introduce a new family of techniques to post-process ("wrap") a black-box classifier in order to reduce its bias.
2 code implementations • 27 Nov 2021 • Alasdair Tran, Alexander Mathews, Lexing Xie, Cheng Soon Ong
We propose the Factorized Fourier Neural Operator (F-FNO), a learning-based approach for simulating partial differential equations (PDEs).
no code implementations • 16 Apr 2021 • Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Pio Calderon, Leanne Dong, Aditya Krishna Menon, Lexing Xie
We propose the multi-impulse exogenous function - for when the exogenous events are observed as event time - and the latent homogeneous Poisson process exogenous function - for when the exogenous events are presented as interval-censored volumes.
1 code implementation • 15 Feb 2021 • Alasdair Tran, Alexander Mathews, Cheng Soon Ong, Lexing Xie
We introduce Radflow, a novel model that embodies three key ideas: a recurrent neural network to obtain node embeddings that depend on time, the aggregation of the flow of influence from neighboring nodes with multi-head attention, and the multi-layer decomposition of time series.
no code implementations • 3 Feb 2021 • Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Mathews, Rong Wang, Georgiana Lyall, Lexing Xie
The collective attention on online items such as web pages, search terms, and videos reflects trends that are of social, cultural, and economic interest.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon, Lexing Xie
Most work on multi-document summarization has focused on generic summarization of information present in each individual document set.
no code implementations • 28 Jul 2020 • Alexander Soen, Alexander Mathews, Daniel Grixti-Cheng, Lexing Xie
The proof connects the well known Stone-Weierstrass Theorem for function approximation, the uniform density of non-negative continuous functions using a transfer functions, the formulation of the parameters of a piece-wise continuous functions as a dynamic system, and a recurrent neural network implementation for capturing the dynamics.
1 code implementation • CVPR 2020 • Alasdair Tran, Alexander Mathews, Lexing Xie
We address the first challenge by associating words in the caption with faces and objects in the image, via a multi-modal, multi-head attention mechanism.
1 code implementation • 21 Mar 2020 • Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
This paper presents in-depth measurements on the effects of Twitter data sampling across different timescales and different subjects (entities, networks, and cascades).
1 code implementation • NeurIPS 2020 • Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie
We show that QP matches quantile functions rather than moments as in EP and has the same mean update but a smaller variance update than EP, thereby alleviating EP's tendency to over-estimate posterior variances.
1 code implementation • 20 Aug 2019 • Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
In this paper, we first construct the Vevo network -- a YouTube video network with 60, 740 music videos interconnected by the recommendation links, and we collect their associated viewing dynamics.
1 code implementation • 4 Aug 2019 • Sam Toyer, Felipe Trevizan, Sylvie Thiébaux, Lexing Xie
In this paper, we discuss the learning of generalised policies for probabilistic and classical planning problems using Action Schema Networks (ASNets).
1 code implementation • 6 Dec 2018 • Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie
This paper considers extractive summarisation in a comparative setting: given two or more document groups (e. g., separated by publication time), the goal is to select a small number of documents that are representative of each group, and also maximally distinguishable from other groups.
1 code implementation • 8 Oct 2018 • Rui Zhang, Christian Walder, Marian-Andrei Rizoiu, Lexing Xie
On two large-scale Twitter diffusion datasets, we show that our methods outperform the current state-of-the-art in goodness-of-fit and that the time complexity is linear in the size of the dataset.
no code implementations • 13 Aug 2018 • Qiongkai Xu, Juyan Zhang, Lizhen Qu, Lexing Xie, Richard Nock
In this paper, we investigate the diversity aspect of paraphrase generation.
1 code implementation • CVPR 2018 • Alexander Mathews, Lexing Xie, Xuming He
We develop a model that learns to generate visually relevant styled captions from a large corpus of styled text without aligned images.
no code implementations • 15 May 2018 • Alexander Mathews, Lexing Xie, Xuming He
We simplify sentences with an attentive neural network sequence to sequence model, dubbed S4.
no code implementations • 6 Apr 2018 • Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie
We find that results depend on the type of content being promoted: superusers are more successful in promoting Howto and Gaming videos, whereas the cohort of regular users are more influential for Activism videos.
2 code implementations • 27 Feb 2018 • Marian-Andrei Rizoiu, Timothy Graham, Rui Zhang, Yifei Zhang, Robert Ackland, Lexing Xie
We collect a large dataset of tweets during the 1st U. S. Presidential Debate in 2016 (#DebateNight) and we analyze its 1. 5 million users from three perspectives: user influence, political behavior (partisanship and engagement) and botness.
Social and Information Networks
no code implementations • 17 Oct 2017 • Aditya Mogadala, Umanga Bista, Lexing Xie, Achim Rettinger
Images in the wild encapsulate rich knowledge about varied abstract concepts and cannot be sufficiently described with models built only using image-caption pairs containing selected objects.
1 code implementation • 13 Sep 2017 • Sam Toyer, Felipe Trevizan, Sylvie Thiébaux, Lexing Xie
In this paper, we introduce the Action Schema Network (ASNet): a neural network architecture for learning generalised policies for probabilistic planning problems.
1 code implementation • 8 Sep 2017 • Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
The share of videos in the internet traffic has been growing, therefore understanding how videos capture attention on a global scale is also of growing importance.
Social and Information Networks Human-Computer Interaction
no code implementations • 21 Aug 2017 • Marian-Andrei Rizoiu, Young Lee, Swapnil Mishra, Lexing Xie
This chapter provides an accessible introduction for point processes, and especially Hawkes processes, for modeling discrete, inter-dependent events over continuous time.
no code implementations • 17 Aug 2017 • Aditya Krishna Menon, Dawei Chen, Lexing Xie, Cheng Soon Ong
Trajectory recommendation is the problem of recommending a sequence of places in a city for a tourist to visit.
1 code implementation • 25 Aug 2016 • Dawei Chen, Cheng Soon Ong, Lexing Xie
Information about POIs are used to learn a POI ranking model that accounts for the start and end points of tours.
no code implementations • 21 Aug 2016 • Dongwoo Kim, Lexing Xie, Cheng Soon Ong
Knowledge graph construction consists of two tasks: extracting information from external resources (knowledge population) and inferring missing information through a statistical analysis on the extracted information (knowledge completion).
1 code implementation • 19 Feb 2016 • Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner, Manuel Cebrian, Honglin Yu, Pascal Van Hentenryck
Modeling and predicting the popularity of online content is a significant problem for the practice of information dissemination, advertising, and consumption.
Social and Information Networks
no code implementations • 6 Oct 2015 • Alexander Mathews, Lexing Xie, Xuming He
We design a system to describe an image with emotions, and present a model that automatically generates captions with positive or negative sentiments.
2 code implementations • Proceedings of the 24th International Conference on World Wide Web 2015 • Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie
This paper proposes AutoRec, a novel autoencoder framework for collaborative filtering (CF).
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