ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
- Install requirements
pip install wordcloud nltk pandas imageio selenium tqdm- Download several
nltk-related packages for language processing
import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('wordnet')
nltk.download('stopwords')-
If you got anything wrong when calling
webdriver.Edge('msedgedriver.exe'), you can-
Delete
msedgedriver.exesince it may only work on my computer (Windows 10) -
Install Microsoft Edge (Chromium): Ensure you have installed Microsoft Edge (Chromium). To confirm that you have Microsoft Edge (Chromium) installed, go to
edge://settings/helpin the browser, and verify the version number is Version 75 or later. -
Download Microsoft Edge Driver: Go to
edge://settings/helpto get the version of Edge. -
Navigate to the Microsoft Edge Driver downloads page and download the driver that matches the Edge version number.
From https://stackoverflow.com/questions/63529124/how-to-open-up-microsoft-edge-using-selenium-and-python
-
- Run
crawl_paperlist.pyto crawl the list of papers (~0.5h).
python crawl_paperlist.py --year 2023crawl_paperlist.py will miss several papers for some errors. The full paper list are as follows:
-
Year 2022 (3,407 submissions in total):
-
Year 2023 (4,966 submissions in total):
Keywords and Title
- Keywords Frequency The top 50 common keywords (uncased) and their frequency:
- Top-10 Ranking between 2022 and 2023 (full list please refer to keywords.md)
| Keyword | 2022 | 2023 |
|---|---|---|
| reinforcement learning | 1 | 1 |
| deep learning | 2 | 2 |
| representation learning | 4 | 3 |
| graph neural network | 3 | 4 |
| transformer | 5 | 5 |
| federate learning | 7 | 6 |
| self-supervised learning | 6 | 7 |
| contrastive learning | 10 | 8 |
| robustness | 9 | 9 |
| generative model | 8 | 10 |
- Ranking Changes of Top-50 keywords
| Keywords | 2022 | 2023 | rank |
|---|---|---|---|
| large language model | 208 | 32 | 176 |
| diffusion model | 173 | 14 | 159 |
| offline reinforcement learning | 59 | 20 | 39 |
| sparsity | 85 | 49 | 36 |
| adversarial training | 19 | 47 | -28 |
| differential privacy | 45 | 23 | 22 |
| fairness | 43 | 22 | 21 |
| model compression | 61 | 41 | 20 |
| domain generalization | 55 | 36 | 19 |
| time series | 58 | 40 | 18 |
- Keywords Cloud The word clouds formed by keywords of submissions show the hot topics including deep learning, reinforcement learning, representation learning, graph neural network, etc.
- Title Keywords Frequency The top 50 common title keywords (uncased) and their frequency:
- Top-10 Ranking between 2022 and 2023 (full list please refer to title.md)
| Title | 2022 | 2023 |
|---|---|---|
| representation | 1 | 1 |
| graph | 3 | 2 |
| data | 6 | 3 |
| reinforcement | 2 | 4 |
| transformer | 7 | 5 |
| training | 5 | 6 |
| image | 10 | 7 |
| efficient | 9 | 8 |
| language | 15 | 9 |
| federate | 14 | 10 |
- Ranking Changes of Top-50 Title keywords
| Title | 2022 | 2023 | rank |
|---|---|---|---|
| mask | 325 | 45 | 280 |
| diffusion | 132 | 25 | 107 |
| base | 76 | 36 | 40 |
| visual | 61 | 38 | 23 |
| offline | 55 | 34 | 21 |
| attack | 25 | 46 | -21 |
| vision | 64 | 44 | 20 |
| generation | 36 | 17 | 19 |
| adaptive | 45 | 32 | 13 |
| knowledge | 38 | 26 | 12 |
- Title Keywords Cloud The word clouds formed by keywords of submission titles:
