Papers With Code

Papers With Code — User Guide

Papers with code (SOTA).

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Strengths
  • There is a one-to-one correspondence between the paper and the code, and you can directly find the implementation.
  • Track SOTA (best results) rankings for each task
  • Completely free, no registration required
  • Unified indexing of datasets and models
  • Deep integration with arXiv
Best for
  • Find the code implementation corresponding to the paper
  • Understand the current best approach to a task
  • Discover high-quality open source AI projects
  • Track progress in a specific research area
  • Find benchmark data sets

Find the code corresponding to the paper

The core function of Papers With Code is to match papers with open source code implementations.

Scenario

Find the code implementation of the paper

Prompt example
Method 1: Search through papers


1. Search the paper title at paperswithcode.com


2. Click on the paper and view the "Code" tab


3. List all related code repositories


4. Sort by number of stars and choose the most popular ones




Method 2: Extension through arXiv


1. Install Papers With Code browser extension


2. Automatically display code links on arXiv paper pages




Method 3: Search directly on GitHub


Search on GitHub:


"paper title" + "implementation"
Output / what to expect

Find the official or community implementation of the paper,

Directly run the code to verify the paper results,

Significantly saves reproducibility time.

Tips

Give priority to the official implementation (provided by the author), and secondly choose the community implementation with a large number of stars.

Scenario

View task SOTA rankings

Prompt example
Check it out at paperswithcode.com/sota:




Popular tasks ranking:


- Image Classification


- Object Detection


- Machine Translation


- Question Answering


- Text Generation




Each task displays:


- Current best methods and results


- Historical progress curve


- Corresponding papers and codes


- Dataset used
Output / what to expect

Understand the current best approach to a task,

Judge the gap between your own method and SOTA,

Find the baseline method that is most worth reproducing.

Tips

SOTA rankings are the fastest way to understand the current status of a certain research direction.

Dataset discovery

Papers With Code contains a large collection of standard datasets used in AI research.

Scenario

Find a suitable training data set

Prompt example
Search paperswithcode.com/datasets for:

1. Filter by task type (such as Image Classification)
2. View data set details:
   - Data volume (number of samples)
   - Annotation type
   - License (whether it can be used commercially)
   - Download method
3. View papers using this dataset
4. Understand the SOTA results on this dataset
Output / what to expect

Find a standard dataset suitable for the task,

Understand the size and quality of the data set,

Judge the difficulty of the data set through SOTA results.

Tips

Select widely used standard data sets to facilitate fair comparisons with other methods.

Compared with similar tools

ToolStrengthBest forPricing
Papers With Code This toolPaper code correspondence, SOTA tracking, completely freeAI researchers need to find code to implement and track SOTAcompletely free
Hugging FaceModel and dataset hosting, the community is more activeUse pre-trained models directlyFree / Pro $9/month
arXivLatest papers, fastest publishedFollow the latest research progresscompletely free
Semantic ScholarCitation Analysis, AI SummaryLiterature discovery and understandingcompletely free

Sources & references: