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I enjoyed reading the paper and very promising results. Are you planning to share the code of ImageNet experiments in semi-supervised setting ? It would be a great help to reproduce the results.
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Thank you very much for your excellent work! We had already run the model by using the demo and found out that the ability of Theia model on feature extraction visualization was not as good as individ…
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Hi,
Thank you for releasing the code! I tried to reproduce the Chai dataset experiment, however got this error:
```
$ python3 src/experiments_house/train_goal_prediction_from_disk.py
Tracebac…
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torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
experiments/supervised HO3D V2.py FAILED
Failures:
Root Cause (first observed failure) :
[0]:
time
host
2023-09-14 01:45:50
…
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### Title
Document Tagging System for Information Retrieval and Relevance
### Team Name
DataNavigatorsss
### Email
202103025@daiict.ac.in
### Team Member 1 Name
Aditya Bhatt
#…
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Hello, thanks for your precious work!
I am trying to reproduce your weakly supervised experiments, but I get an error when trying to run inference_rw.py. In particular I get:
RuntimeError: INDICES…
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I have a question whether the pre-trained UniTS training dataset contains the test dataset. If so, then the training process of time series prediction and time series completion is essentially a self-…
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DIVA/paper_experiments/rotated_mnist/supervised/model_diva.py
The output of px is x_recon with the shape of [100, 256, 28, 28] (Line 39). It should be permuted to [100, 28, 28, 256], because x_recon …
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write the outlines in the following format:
# Introduction
* introduce classification task with different data settings ordinary setting, weak supervision, noisy label, and complementary label l…
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Really nice work and super impressive results on the low-data regime (shown in Table 4, also pasted as following)!!
![image](https://user-images.githubusercontent.com/4639578/97782461-9ad71f80-1bcc…