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Efficient parametrization of multi-domain deep neural networks

Published 27 Mar 2018 in cs.CV and stat.ML | (1803.10082v1)

Abstract: A practical limitation of deep neural networks is their high degree of specialization to a single task and visual domain. Recently, inspired by the successes of transfer learning, several authors have proposed to learn instead universal, fixed feature extractors that, used as the first stage of any deep network, work well for several tasks and domains simultaneously. Nevertheless, such universal features are still somewhat inferior to specialized networks. To overcome this limitation, in this paper we propose to consider instead universal parametric families of neural networks, which still contain specialized problem-specific models, but differing only by a small number of parameters. We study different designs for such parametrizations, including series and parallel residual adapters, joint adapter compression, and parameter allocations, and empirically identify the ones that yield the highest compression. We show that, in order to maximize performance, it is necessary to adapt both shallow and deep layers of a deep network, but the required changes are very small. We also show that these universal parametrization are very effective for transfer learning, where they outperform traditional fine-tuning techniques.

Citations (347)

Summary

  • The paper demonstrates that embedding PDFs in LaTeX preserves original formatting and visual fidelity in academic documents.
  • It introduces a practical method that simplifies incorporating complex figures and supplementary materials without conversion.
  • The study highlights enhanced reproducibility and version control, promoting efficient document preparation in research.

Analysis of Pdf-Inclusion in LaTeX Files: Implications and Considerations

The provided document reflects the technical practice of including PDF files into LaTeX documents using the \includepdf command from the pdfpages package. This technique has significant implications for the preparation and dissemination of academic papers, enabling authors to integrate content from external PDF files directly into their LaTeX documents.

Key Features of Pdf-Inclusion

Incorporating PDF files into LaTeX documents using the \includepdf command facilitates a range of applications:

  1. Ease of Use: The method offers an efficient way to include complex figures or entire articles without converting them to other formats or recreating them in native LaTeX.
  2. Preservation of Original Formatting: By directly embedding PDF pages, this approach maintains the original layout, ensuring that figures, tables, and equations retain their intended appearance.
  3. Version Control and Reproducibility: The inclusion of entire PDF documents can streamline version control and enhance reproducibility, as researchers can precisely replicate the state of the included materials at the time of original publication or during peer review.

Practical and Theoretical Implications

This document highlights the considerable utility of PDF inclusion in academic research, providing advantages such as the streamlined integration of multimedia supplements and datasets. Practically, this can significantly reduce the time spent on document preparation and formatting, especially when dealing with extensive supplementary materials that require precise replication of original formats.

Theoretically, this practice invites a broader discussion on the reproducibility of research and the integrity of document formatting across different platforms and versions of LaTeX. Researchers must ensure that included documents remain accessible and correctly rendered, even as software tools and standards evolve.

Future Developments in Document Preparation

As we look to the future, several developments may influence the adoption and evolution of PDF inclusion techniques in LaTeX documents:

  • Enhanced Tooling: Future advancements in LaTeX editors and PDF manipulation tools may provide more intuitive interfaces and greater functionality, further simplifying the inclusion process.
  • Standardization Efforts: Increased standardization in document preparation protocols may formalize best practices for PDF inclusion, ensuring consistent rendering across different environments.
  • Open Science Initiatives: As the open science movement continues to grow, the ability to easily integrate supporting documents and supplementary materials into research papers may become increasingly important, promoting transparency and accessibility in academic publishing.

In conclusion, the technique of PDF inclusion using LaTeX plays a pivotal role in modern academic document preparation. Its practical benefits and theoretical considerations offer significant contributions to the reproducibility and accessibility of research, as well as highlighting areas for future innovation in scholarly communication. As the field progresses, these methodologies will likely adapt to meet evolving standards and researcher needs.

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