~hackernoon | Bookmarks (16)
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Comparative Analysis: Learned Heuristics vs. WalkSAT in SAT Problem Solving
Dive deeper into the supplementary materials providing insights into intra-episode behavior, generalization across small and hard...
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Assessing the Justification for Integrating Deep Learning in Combinatorial Optimization
This summary highlights the importance of conducting thorough comparisons between deep learning-integrated heuristics and classical heuristics...
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Understanding the Limitations of GNNSAT in SAT Heuristic Optimization
This article explores the performance and scalability challenges of GNNSAT, a learned SAT heuristic, compared to...
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Analyzing Learned Heuristics for Max-Cut Optimization
This article delves into the evaluation of learned heuristics like S2V-DQN and ECO-DQN against traditional heuristics...
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Exploring Classical and Learned Local Search Heuristics for Combinatorial Optimization
This section delves into the realm of local search heuristics in combinatorial optimization, covering classical heuristics...
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Unveiling the Limits of Learned Local Search Heuristics: Are You the Mightiest of the Meek?
This abstract outlines the challenges encountered in evaluating neural network-local search heuristics hybrids for combinatorial optimization....
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How to Sample From Latent Space With Variational Autoencoder
Unlike traditional AE models, Variational Autoencoders (VAEs) map inputs to a multivariate normal distribution, allowing novel...
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COVIDFakeExplainer: An Explainable Machine Learning based Web Application: Abstract & Intro
Leveraging machine learning, including deep learning techniques, offers promise in combatting fake news.
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COVIDFakeExplainer: An Explainable Machine Learning based Web Application: Related Works
Leveraging machine learning, including deep learning techniques, offers promise in combatting fake news.
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COVIDFakeExplainer: An Explainable Machine Learning based Web Application: Materials and Methods
Leveraging machine learning, including deep learning techniques, offers promise in combatting fake news.
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COVIDFakeExplainer: An Explainable Machine Learning based Web Application: Results and Discussion
Leveraging machine learning, including deep learning techniques, offers promise in combatting fake news.
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COVIDFakeExplainer: An Explainable Machine Learning based Web Application: Conclusion & References
Leveraging machine learning, including deep learning techniques, offers promise in combatting fake news.
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QLoRA: Fine-Tuning Your LLMs With a Single GPU
To fine-tune a LLAMA 65 billion parameter model, we need 780 GB of GPU memory. That...
