On the public citation graph

A General Conversion from Deep Learning Models to ONNX

https://doi.org/10.2139/ssrn.6066385
0 signed · 9 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/rob.21918openalex-snapshot
A survey of deep learning techniques for autonomous driving
inferredcites →https://doi.org/10.1007/s10664-024-10521-0openalex-snapshot
Challenges and practices of deep learning model reengineering: A case study on computer vision
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1145/3368089.3417051openalex-snapshot
Enhancing the interoperability between deep learning frameworks by model conversion
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.1145/3424308openalex-snapshot
Emoji-powered Sentiment and Emotion Detection from Software Developers’ Communication Data
inferredcites →https://doi.org/10.1145/3477535openalex-snapshot
On the Reproducibility and Replicability of Deep Learning in Software Engineering
inferredcites →https://doi.org/10.1145/3587155openalex-snapshot
Toward Understanding Deep Learning Framework Bugs
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.