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Gating mechanisms are widely used in neural network models, where they allow gradients to backpropagate more easily through depth or time. However, their saturation property introduces problems of its own. For example, in recurrent models…

Neural and Evolutionary Computing · Computer Science 2020-06-22 Albert Gu , Caglar Gulcehre , Tom Le Paine , Matt Hoffman , Razvan Pascanu

Software developers must often replace existing components in their systems to adapt to evolving environments or tooling. While traditional code search systems are effective at retrieving components with related functionality, it is much…

Software Engineering · Computer Science 2021-10-13 Malavika Samak , Jose Pablo Cambronero , Martin C. Rinard

Recent advances in quantum computing have sparked excitement that this new computing paradigm could solve previously intractable problems. However, due to the faulty nature of current quantum hardware and quantum-intrinsic noise, the full…

Software Engineering · Computer Science 2024-12-16 Jake Zappin , Trevor Stalnaker , Oscar Chaparro , Denys Poshyvanyk

Most modern neural networks for classification fail to take into account the concept of the unknown. Trained neural networks are usually tested in an unrealistic scenario with only examples from a closed set of known classes. In an attempt…

Machine Learning · Computer Science 2022-12-27 Justin Leo , Jugal Kalita

In this work, we developed an algorithm for detecting code quality issues in the templates of online programming tasks, validated it, and conducted an empirical study on the dataset of student solutions. The algorithm consists of analyzing…

Software Engineering · Computer Science 2023-04-26 Anastasiia Birillo , Elizaveta Artser , Yaroslav Golubev , Maria Tigina , Hieke Keuning , Nikolay Vyahhi , Timofey Bryksin

Memory-related errors remain an important cause of software vulnerabilities. While mitigation techniques such as using memory-safe languages are promising solutions, these do not address software resilience and availability. In this paper,…

Cryptography and Security · Computer Science 2023-06-06 Merve Gülmez , Thomas Nyman , Christoph Baumann , Jan Tobias Mühlberg

Recognizing and telling similar objects apart is even hard for human beings. In this paper, we show that there is a phenomenon of class interference with all deep neural networks. Class interference represents the learning difficulty in…

Machine Learning · Computer Science 2022-11-04 Dongcui Diao , Hengshuai Yao , Bei Jiang

Class-imbalance is a common problem in machine learning practice. Typical Imbalanced Learning (IL) methods balance the data via intuitive class-wise resampling or reweighting. However, previous studies suggest that beyond class-imbalance,…

Machine Learning · Computer Science 2022-11-24 Zhining Liu , Pengfei Wei , Zhepei Wei , Boyang Yu , Jing Jiang , Wei Cao , Jiang Bian , Yi Chang

An information owner, possessing diverse data sources, might want to offer information services based on these sources to cooperation partners and to this end interact with these partners by receiving and sending messages, which the owner…

Cryptography and Security · Computer Science 2017-07-27 Joachim Biskup , Cornelia Tadros , Jaouad Zarouali

The subtyping relation in Java exhibits self-similarity. The self-similarity in Java subtyping is interesting and intricate due to the existence of wildcard types and, accordingly, the existence of three subtyping rules for generic types:…

Programming Languages · Computer Science 2018-01-01 Moez A. AbdelGawad

In this paper, we consider the problem of machine teaching, the inverse problem of machine learning. Different from traditional machine teaching which views the learners as batch algorithms, we study a new paradigm where the learner uses an…

Machine Learning · Statistics 2017-11-21 Weiyang Liu , Bo Dai , Ahmad Humayun , Charlene Tay , Chen Yu , Linda B. Smith , James M. Rehg , Le Song

A deep learning system typically suffers from a lack of reproducibility that is partially rooted in hardware or software implementation details. The irreproducibility leads to skepticism in deep learning technologies and it can hinder them…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Jiahao Pang , Muhammad Asad Lodhi , Junghyun Ahn , Yuning Huang , Dong Tian

Sun and the CERT recommend for secure Java development to not allow partially initialized objects to be accessed. The CERT considers the severity of the risks taken by not following this recommendation as high. The solution currently used…

Programming Languages · Computer Science 2010-11-22 Laurent Hubert , Thomas Jensen , Vincent Monfort , David Pichardie

In this paper we propose the first machine teaching algorithm for multiple inverse reinforcement learners. Specifically, our contributions are: (i) we formally introduce the problem of teaching a sequential task to a heterogeneous group of…

Machine Learning · Computer Science 2019-12-02 Manuel Lopes , Francisco Melo

Real-world programs are neither monolithic nor static -- they are constructed using platform and third party libraries, and both programs and libraries continuously evolve in response to change pressure. In case of the Java language, rules…

Software Engineering · Computer Science 2014-08-13 Jens Dietrich , Kamil Jezek , Premek Brada

Recovering class inheritance from C++ binaries has several security benefits including problems such as decompilation and program hardening. Thanks to the optimization guidelines prescribed by the C++ standard, commercial C++ binaries tend…

Cryptography and Security · Computer Science 2019-02-19 Rukayat Ayomide Erinfolami , Aravind Prakash

In order to address real-world problems, deep learning models are jointly trained on many classes. However, in the future, some classes may become restricted due to privacy/ethical concerns, and the restricted class knowledge has to be…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 Pravendra Singh , Pratik Mazumder , Mohammed Asad Karim

Background: Code cloning - copying and reusing pieces of source code - is a common phenomenon in software development in practice. There have been several empirical studies on the effects of cloning, but there are contradictory results…

Software Engineering · Computer Science 2016-11-28 Stefan Wagner , Asim Abdulkhaleq , Kamer Kaya , Alexander Paar

The mathematical modeling of generics in Java and other similar nominally-typed object-oriented programming languages is a challenge. In this short paper we present the outline of a novel order-theoretic approach to modeling generics, in…

Programming Languages · Computer Science 2019-06-27 Moez A. AbdelGawad

In managed languages, serialization of objects is typically done in bespoke binary formats such as Protobuf, or markup languages such as XML or JSON. The major limitation of these formats is readability. Human developers cannot read binary…

Software Engineering · Computer Science 2025-12-16 Julian Wachter , Deepika Tiwari , Martin Monperrus , Benoit Baudry