dataset.txt: JSON file of dataset which has multiple references in each training sample gpt2_medium.floor_rel.seed_42.20200407-135521.model.pt: model weights of the finetuned GPT-2 used as a seq-level teacher model gpt2_small.floor_none.seed_42.20200407-133531.model.pt: model weights of the finetuned GPT-2 used as a token-level teacher model (because medium GPT-2 is too large and too slow for token-level KD) roberta_large.floor_none.seed_42.2020-04-01-12_28_50.semi.supervised_by_overall.model.pt: model weights of Roberta-eval for evaluating mturk_results.json: JSON file of Amazon MTurk human evaluation result
In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...
These datasets are used to reproduce the results of the neural dynamics model from the paper https:/...
A count matrix undergoes pre-processing, including normalization and filtering. The data is randomly...
Trained models for "What matters in reinforcement learning for tractography". These can be loaded to...
The file weights the file. Specifically, the result weights of different versions of the models in t...
This deposit contains the model weights and corpora used for executing the experiments of the paper ...
model weights used in the experiment. InceptionResnetV2, MobilenetV2, Resnet50V5, Resnet152 and Xcep...
This datasets represents the training and validation data that was used to produce the pre-trained m...
This is the Full NuSeT training dataset and model training weights used in paper: NuSeT: A Deep Lea...
The evaluation results based on four pretraining language models for two datasets.</p
About This is a mock dataset with Amazon product reviews. Classes are structured: 6 "level 1" class...
Trained network weights for the paper "Compositionally restricted attention-based network for materi...
Includes the model weights for CAT-LM, code and datasets for training and evaluating CAT-LM, results...
Subset of the data used in "Quantitative Evaluation of Machine Learning Explanations: A Human-Ground...
The coupled model weights file contains the necessary weights to the machine learning network to run...
In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...
These datasets are used to reproduce the results of the neural dynamics model from the paper https:/...
A count matrix undergoes pre-processing, including normalization and filtering. The data is randomly...
Trained models for "What matters in reinforcement learning for tractography". These can be loaded to...
The file weights the file. Specifically, the result weights of different versions of the models in t...
This deposit contains the model weights and corpora used for executing the experiments of the paper ...
model weights used in the experiment. InceptionResnetV2, MobilenetV2, Resnet50V5, Resnet152 and Xcep...
This datasets represents the training and validation data that was used to produce the pre-trained m...
This is the Full NuSeT training dataset and model training weights used in paper: NuSeT: A Deep Lea...
The evaluation results based on four pretraining language models for two datasets.</p
About This is a mock dataset with Amazon product reviews. Classes are structured: 6 "level 1" class...
Trained network weights for the paper "Compositionally restricted attention-based network for materi...
Includes the model weights for CAT-LM, code and datasets for training and evaluating CAT-LM, results...
Subset of the data used in "Quantitative Evaluation of Machine Learning Explanations: A Human-Ground...
The coupled model weights file contains the necessary weights to the machine learning network to run...
In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...
These datasets are used to reproduce the results of the neural dynamics model from the paper https:/...
A count matrix undergoes pre-processing, including normalization and filtering. The data is randomly...