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07/24/2023
General-Purpose Multi-Modal OOD Detection Framework
Out-of-distribution (OOD) detection identifies test samples that differ ...
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06/07/2023
Neural Symbolic Regression using Control Variables
Symbolic regression (SR) is a powerful technique for discovering the ana...
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05/25/2023
Condensed Prototype Replay for Class Incremental Learning
Incremental learning (IL) suffers from catastrophic forgetting of old ta...
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10/11/2022
COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning
Compiled software is delivered as executable binary code. Developers wri...
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09/27/2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks
Purely data-driven deep neural networks (DNNs) applied to physical engin...
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08/17/2022
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection
Neural clone detection has attracted the attention of software engineeri...
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10/01/2021
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders
This paper develops a novel unsupervised algorithm for belief representa...
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02/23/2021
Controllable and Diverse Text Generation in E-commerce
In E-commerce, a key challenge in text generation is to find a good trad...
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11/02/2020
Scheduling Real-time Deep Learning Services as Imprecise Computations
The paper presents an efficient real-time scheduling algorithm for intel...
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10/31/2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
This paper reviews the novel concept of controllable variational autoenc...
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09/15/2020
Challenging β-VAE with β< 1 for Disentanglement Via Dynamic Learning
This paper challenges the common assumption that the weight of β-VAE sho...
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04/13/2020
paper2repo: GitHub Repository Recommendation for Academic Papers
GitHub has become a popular social application platform, where a large n...
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04/13/2020
Controllable Variational Autoencoder
Variational Autoencoders (VAE) and their variants have been widely used ...
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02/13/2020
Disentangling Overlapping Beliefs by Structured Matrix Factorization
Much work on social media opinion polarization focuses on identifying se...
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02/21/2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
Recent advances in deep learning motivate the use of deep neural network...
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09/19/2018