Web demo: https://ai-paper-collector.vercel.app/ (recommended)

Colab notebook: here

Fully-automated scripts for collecting AI-related papers. Support fuzzy and exact search for paper titles.

- [ACL 2019-2021] [EMNLP 2019-2021] [NAACL 2019-2021] [COLING 2020]
- [CVPR 2019-2021] [ECCV 2020] [ICCV2019] [ACMMM 2019-2021]
- [ICLR 2019-2022] [ICML 2019-2021] [AAAI 2019-2021] [IJCAI 2019-2021]
- [SIGIR 2019-2021] [KDD 2019-2021] [CIKM 2019-2021] [WSDM 2019-2022]
- [WWW 2019-2021] [ECIR 2019-2022] [NIPS 2019-2021] [ICASSP 2019-2021]
- [ISWC 2019-2021] [MLSys 2020-2022] [JMLR 2019-2022] [VLDB 2019-2021]
- [COLT 2019-2021] [AISTATS 2019-2021]

Current installation is to clone this repo.

git clone https://github.com/MLNLP-World/AI-Paper-Collector.git
cd AI-Paper-Collector
pip install -r requirements.txt

We provide three usage modes, the first is interactive (main.py), the second is command-line (cli_main.py) and the other is web interface (app.py). The interactive mode is recommended for the first time users.

To start the interactive, type:

python main.py

Serveral steps to interactively search paper.

1. the keyword query
2. search mode (exact or fuzzy)
3. (fuzzy) threshold
4. the limit of results
5. a list of conferences, separated by comma
6. the file path of the output (top-5 for command preview, all results in this file)

E.g.

[+] Initializing System...
[+] Loading from cache...
[+] Enter your query: few-shot

[+] Select search mode:
	[1] Exact
	[2] Fuzzy
[+] Enter a number between 1 to 2: 2
[+] Enter threshold between 0 and 100 (default: 50):
[+] Enter limit >= 0 (default: None):
[+] Enter the list of confs separated by comma
	E.g. "ACL,CVPR" or "AAAI" or enter nothing for all confs
[+] Enter your list of conferences (default: All Confs): SIGIR,WSDM,CIKM

[+] Search Results:
[=] Only show Top-5, Please Save results to see all.
[1] [CIKM2021] REFORM: Error-Aware Few-Shot Knowledge Graph Completion.
[2] [CIKM2021] Boosting Few-shot Abstractive Summarization with Auxiliary Tasks.
[3] [CIKM2021] Multi-objective Few-shot Learning for Fair Classification.
[4] [CIKM2020] Graph Few-shot Learning with Attribute Matching.
[5] [CIKM2020] Few-shot Insider Threat Detection.

[+] Enter Save filename:
[+] Writing results to output/fuzzy_None_SIGIR_WSDM_CIKM_few-shot.txt
[+] Writing results Done!

For command-line usage, you can use the following commands:

# -q, --query:     the input query, and the content with multiple words should be wrapped in quotation marks
# -m, --mode:      the search mode: fuzzy or exact, default is exact
# -t, --threshold: the threshold for the fuzzy search, default is 50
# -l, --limit:     the limit num of the fuzzy search result, default is None
# -c, --conf:      the list of the conferences needs to search, default is all
# -o, --output:    the output file name, default is [mode]_[threshold]_[confs]_[query].txt
# -f, --force:     force to update the cache file incrementally
python cli_main.py --query QUERY \
    [--mode {fuzzy,exact}] \
    [--threshold THRESHOLD] [--limit LIMIT] [--conf CONF] \
    [--output OUTPUT] [--force]

E.g.

# Note that the input query must be enclosed in `""`, such as "few shot".
python cli_main.py -q "few shot" -m fuzzy -l 10 -t 10 -c AAAI,ACL -o results.txt

For web interface usage, you can use the following commands:

pip install -r requirements.txt
python app.py

Then open the following URL: http://localhost:5000

E.g.

If anyone wants to add a new list of conferences. please raise an issue following the format of this one. We will check and label it, then the workflow will run automatically. issue format

• add new conferences by modifying the conf/dblp_conf.json file

[
    # add the name and dblp_url of the new conf
    {
        "name": "WWW2021",
        "url": "https://dblp.org/db/conf/www/www2021.html"
    },
    ...
]

• run the script

# force to update the cache file incrementally
python cli_main.py --query '' --force

Since the tool is in the development stage, we can not guarantee that the papers found will meet your needs. I hope for your understanding. In addition, all the results come from DBLP, ACL, NIPS, OpenReview, if this violates your copyright, you can contact us at any time, we will delete it as soon as possible, thank you:)

Thanks to the contributors: