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08/07/2023
Feature-Suppressed Contrast for Self-Supervised Food Pre-training
Most previous approaches for analyzing food images have relied on extens...
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07/16/2023
Efficient Treatment Effect Estimation with Out-of-bag Post-stratification
Post-stratification is often used to estimate treatment effects with hig...
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06/01/2023
Graph-Level Embedding for Time-Evolving Graphs
Graph representation learning (also known as network embedding) has been...
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12/07/2022
Label Guidance based Object Locating in Virtual Reality
Object locating in virtual reality (VR) has been widely used in many VR ...
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11/15/2022
Foveated Rendering: a State-of-the-Art Survey
Recently, virtual reality (VR) technology has been widely used in medica...
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08/05/2022
A Hybrid Observer for Estimating the State of a Distributed Linear System
A hybrid observer is described for estimating the state of a system of t...
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03/28/2022
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English
While cultural backgrounds have been shown to affect linguistic expressi...
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09/14/2021
Embedding Node Structural Role Identity Using Stress Majorization
Nodes in networks may have one or more functions that determine their ro...
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09/14/2021
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization
Recent years have seen a rise in the development of representational lea...
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09/13/2021
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
A key problem in multi-task learning (MTL) research is how to select hig...
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08/18/2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
This paper studies the relative importance of attention heads in Transfo...
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07/14/2021
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
Fine-grained image recognition is challenging because discriminative clu...
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06/18/2021
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path
Networks found in the real-world are numerous and varied. A common type ...
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04/30/2021
Mitigating Political Bias in Language Models Through Reinforced Calibration
Current large-scale language models can be politically biased as a resul...
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01/05/2021
Political Depolarization of News Articles Using Attribute-aware Word Embeddings
Political polarization in the US is on the rise. This polarization negat...
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12/07/2020
Improvements and Extensions on Metaphor Detection
Metaphors are ubiquitous in human language. The metaphor detection task ...
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12/07/2020
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
The field of NLP has seen unprecedented achievements in recent years. Mo...
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12/05/2020
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
Data augmentation is proven to be effective in many NLU tasks, especiall...
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11/03/2020
Embedding Node Structural Role Identity into Hyperbolic Space
Recently, there has been an interest in embedding networks in hyperbolic...
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09/30/2020
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
Authorship identification tasks, which rely heavily on linguistic styles...
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07/14/2020
Emoji Prediction: Extensions and Benchmarking
Emojis are a succinct form of language which can express concrete meanin...
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06/13/2020
Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks
Instagram has become a great venue for amateur and professional photogra...
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11/13/2019
A Simulation-free Group Sequential Design with Max-combo Tests in the Presence of Non-proportional Hazards
Non-proportional hazards (NPH) have been observed recently in many immun...
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12/12/2018
Consensus and Disagreement of Heterogeneous Belief Systems in Influence Networks
Recently, an opinion dynamics model has been proposed to describe a netw...
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12/28/2015