Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks

Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks

Bibliographic Details
Main Authors:	Toutouh, Jamal, Nalluru, Subhash, Hemberg, Erik, O'Reilly, Una-May
Other Authors:	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format:	Article
Language:	English
Published:	ACM\|Genetic and Evolutionary Computation Conference 2023
Online Access:	https://hdl.handle.net/1721.1/152151

Similar Items

Coevolutionary Computation for Adversarial Deep Learning
by: Toutouh, Jamal, et al.
Published: (2023)

Coevolutionary Computation for Adversarial Deep Learning
by: Toutouh, Jamal, et al.
Published: (2022)

Coevolutionary Computation for Adversarial Deep Learning
by: Toutouh, Jamal, et al.
Published: (2024)

Coevolutionary Generative Adversarial Networks for Medical Image Augumentation at Scale
by: Flores, Diana, et al.
Published: (2022)

Cooperative Coevolutionary Spatial Topologies for Autoencoder Training
by: Hemberg, Erik, et al.
Published: (2024)

A Self-adaptive Coevolutionary Algorithm
by: Hevia Fajardo, Mario, et al.
Published: (2024)

Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt
by: Lehre, Per Kristian, et al.
Published: (2023)

Multiobjective coevolutionary training of Generative Adversarial Networks
by: Ripa, Guillermo, et al.
Published: (2023)

Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms
by: Zhao, Ying, et al.
Published: (2022)

Coevolutionary Modeling of Cyber Attack Patterns and Mitigations Using Public Datasets
by: Shlapentokh-Rothman, Michal, et al.
Published: (2022)

Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation
by: Toutouh, Jamal, et al.
Published: (2022)

Adversarial genetic programming for cyber security: a rising application domain where GP matters
by: O’Reilly, Una-May, et al.
Published: (2021)

Genetic Programming: A Tutorial Introduction
by: O'Reilly, Una-May, et al.
Published: (2023)

Analyzing Multi-Agent Reinforcement Learning and Coevolution in Cybersecurity
by: Turner, Matthew, et al.
Published: (2022)

Analyzing K-12 Blended MOOC Learning Behaviors
by: Gold, Robert, et al.
Published: (2022)

Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
by: Mahmoud Al-Emari, Salam Radi
Published: (2022)

CyberEvo: Evolutionary Search of Knowledge-based Behaviors in a Cyber Attack Campaign
by: Moskal, Stephen, et al.
Published: (2022)

Evolving code with a large language model
by: Hemberg, Erik, et al.
Published: (2024)

Understanding Learner Behavior Through Learning Design Informed Learning Analytics
by: Shen, Hao, et al.
Published: (2022)

Using Knowledge of Human-Generated Code to Bias the Search in Program Synthesis with Grammatical Evolution
by: Schweim, Dirk, et al.
Published: (2022)

Securing the Software Defined Perimeter with Evolutionary Co-Optimization
by: Shlapentokh-Rothman, Michal, et al.
Published: (2022)

Using Domain Knowledge in Coevolution and Reinforcement Learning to Simulate a Logistics Enterprise
by: Zhao, Ying, et al.
Published: (2022)

Using Large Language Models for Evolutionary Search
by: OREILLY, UNA-MAY, et al.
Published: (2024)

Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework
by: Gunaratne, Chathika, et al.
Published: (2022)

Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC
by: Burd, Hannah, et al.
Published: (2022)

Signal Propagation in a Gradient-Based and Evolutionary Learning System
by: Toutouh, Jamal, et al.
Published: (2022)

Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing
by: Kong, ByeongJo, et al.
Published: (2023)

A semi-supervised approach to fault detection and diagnosis for building HVAC systems based on the modified generative adversarial network
by: Li, Bingxu, et al.
Published: (2022)

Large Language Model-based Test Case Generation for GP Agents
by: Jorgensen, Steven, et al.
Published: (2024)

GUI-Based, Efficient Genetic Programming For Unity3D
by: Gold, Robert, et al.
Published: (2022)

Detecting tax evasion: a co-evolutionary approach
by: Rosen, Jacob, et al.
Published: (2016)

Semi supervised learning with graph convolutional networks
by: Ong, Jia Rui
Published: (2019)

Network Coding and Its Implications on Optical Networking
by: Medard, Muriel, et al.
Published: (2010)

Disentangled variational auto-encoder for semi-supervised learning
by: Li, Yang, et al.
Published: (2021)

Semi-supervised generative open information extraction
by: Zhou, Shaowen
Published: (2023)

Multiview semi-supervised learning with consensus
by: Li, Guangxia, et al.
Published: (2013)

Comparison of semi-supervised learning algorithms
by: Teo, Sheng Huai
Published: (2023)

Semi-supervised learning for natural language
by: Liang, Percy
Published: (2006)

Coevolutionary genetic algorithms for proactive computer network defenses
by: Erb Lugo, Anthony (Anthony E.)
Published: (2017)

An evolutionary approach to inter-session network coding
by: O'Reilly, Una-May, et al.
Published: (2010)