(Please read the contributing guide for further instructions, though just letting me know the title of papers can also be a big contribution to us.) (Update) You can download all top-100 papers with this and collect all authors' names with this. Please make sure to read the contributing guide before you make a pull request. Um has waived all copyright and related or neighboring rights to this work.
Also, bib file for all top-100 papers are available.
We’ll announce when submissions are open for each part.
You should submit on Gradescope as a group: that is, for each part, please make one submission for your entire project group and tag your team members.
If you do not do this, you can submit a regrade request and we will fix it, but we will also deduct 1 point. If you're looking for project ideas, please come to project office hours, and we'd be happy to brainstorm and suggest some project ideas.
It depends on the impact of the paper, applicability to other researches scarcity of the research domain, and so on. If you have any suggestions (missing papers, new papers, key researchers or typos), please feel free to edit and pull a request.If that data needs considerable pre-processing to suit your task, or that you intend to collect the needed data yourself, keep in mind that this is only one part of the expected project work, but can often take considerable time.We still expect a solid methodology and discussion of results, so pace your project accordingly.Notes on a few specific types of projects: This section contains the detailed instructions for the different parts of your project.Submission: We’ll be using Gradescope for submission of all four parts of the final project.Two of the main machine learning conferences are ICML and NIPS.You can find papers from recent ICML conferences online: https://2017cc/Conferences/2017/Schedule. Finally, looking at class projects from previous years is a good way to get ideas.The final project is intended to start you in these directions.For group-specific questions regarding projects, please create a private post on Piazza.[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017.A curated list of the most cited deep learning papers (2012-2016) We believe that there exist , for example, Deep Vision and Awesome Recurrent Neural Networks.