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Arxiv 1904 08149v2ASkill generated from arXiv paper 1904.08149v2: Bayesian policy selection using active inference...documentationgoVotes: 0GitHub stars: 3
Arxiv 1812 11391v1ASkill generated from arXiv paper 1812.11391v1: SLIM LSTMs...documentationgoVotes: 0GitHub stars: 3
Arxiv 1811 07550v1ASkill generated from arXiv paper 1811.07550v1: Switch-based Active Deep Dyna-Q: Efficient Adaptiv...documentationgoVotes: 0GitHub stars: 3
Arxiv 1811 02234v1ASkill generated from arXiv paper 1811.02234v1: Semantic bottleneck for computer vision tasks...documentationgoVotes: 0GitHub stars: 3
Arxiv 1811 01910v2ASkill generated from arXiv paper 1811.01910v2: Evolutionary Data Measures: Understanding the Diff...documentationgoVotes: 0GitHub stars: 3
Arxiv 1810 10802v1ASkill generated from arXiv paper 1810.10802v1: Tackling Sequence to Sequence Mapping Problems wit...documentationgoVotes: 0GitHub stars: 3
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Arxiv 1810 05148v4ASkill generated from arXiv paper 1810.05148v4: Bayesian Deep Convolutional Networks with Many Cha...documentationgoVotes: 0GitHub stars: 3
Arxiv 1809 03864v1ASkill generated from arXiv paper 1809.03864v1: Response Characterization for Auditing Cell Dynami...documentationgoVotes: 0GitHub stars: 3
Arxiv 1808 05385v3ASkill generated from arXiv paper 1808.05385v3: On the Decision Boundary of Deep Neural Networks...documentationgoVotes: 0GitHub stars: 3
Arxiv 1807 00053v2ASkill generated from arXiv paper 1807.00053v2: Task-Driven Convolutional Recurrent Models of the ...documentationgoVotes: 0GitHub stars: 3
Arxiv 1806 07917v2ASkill generated from arXiv paper 1806.07917v2: Meta-Learning by the Baldwin Effect...documentationgoVotes: 0GitHub stars: 3
Arxiv 1806 04552v1ASkill generated from arXiv paper 1806.04552v1: Combining Model-Free Q-Ensembles and Model-Based A...documentationgoVotes: 0GitHub stars: 3
Arxiv 1806 02932v1ASkill generated from arXiv paper 1806.02932v1: Program Synthesis Through Reinforcement Learning G...documentationgoVotes: 0GitHub stars: 3
Arxiv 1806 02448v1ASkill generated from arXiv paper 1806.02448v1: Deep Reinforcement Learning for General Video Game...documentationgoVotes: 0GitHub stars: 3
Arxiv 1805 09244v1ASkill generated from arXiv paper 1805.09244v1: Concentric ESN: Assessing the Effect of Modularity...documentationgoVotes: 0GitHub stars: 3
Arxiv 1805 08522v5ASkill generated from arXiv paper 1805.08522v5: Deep learning generalizes because the parameter-fu...documentationgoVotes: 0GitHub stars: 3
Arxiv 1805 08311v1ASkill generated from arXiv paper 1805.08311v1: AgileNet: Lightweight Dictionary-based Few-shot Le...documentationgoVotes: 0GitHub stars: 3
Arxiv 1805 07504v2ASkill generated from arXiv paper 1805.07504v2: Deep Loopy Neural Network Model for Graph Structur...documentationgoVotes: 0GitHub stars: 3
OpenspecASpecification-driven development framework using Gherkin syntax. Use when user mentions openspec, open spec, spec-driven, gherkin, BDD, given-when-then, or needs to define requirements in structured human-readable format.documentationjavascriptgoVotes: 0GitHub stars: 3
When Llms Over Answer Measuring And Mitigating QuaADerived from arXiv:2607.17063 - When LLMs Over-Answer: Measuring and Mitigating Quality Issues in LLM-Based Hardware Description Language Question AnsweringdocumentationapiVotes: 0GitHub stars: 3
Remangpt Remanufacturing Automation LlmAFramework for transforming remanufacturing automation using large language models to address variability and uncertainty in end-of-life products.documentationgotestingVotes: 0GitHub stars: 3
Llmguided Neural Architecture Search For Robust Codesign Of Physical Neural NetworksA**arXiv ID:** 2606.10294 **Authors:** Tyler King, Timothee Leleu **Published:** 2026-06-09T01:32:17Z **Abstract:** Deploying neural networks on unconventional hardware demands architectures that co-optimize task accuracy and platform-specific constraints such as energy cost, physical non-idealities, and numerical precision. Existing neural architecture search (NAS) methods are typically tailored to a single hardware family, limiting cross-platform comparison and generalization. We introduce U...documentationgobackendVotes: 0GitHub stars: 3
Harness Engineering For Llm Driven Gpu Kernel GeneADerived from arXiv:2607.17979 - Harness Engineering for LLM-Driven GPU Kernel GenerationdocumentationVotes: 0GitHub stars: 3
Arxiv 2609 04199v1 Compile By Training Turning Natural Language SpeciA**arXiv ID:** 2609.04199v1 **Authors:** Yuntian Deng, Pengyu Nie, Stuart Shieber **URL:** http://arxiv.org/abs/2609.04199v1 **Utility Score:** 1.00documentationVotes: 0GitHub stars: 3