arumaekawa

Awesome-Dataset-Distillation

Awesome Dataset Distillation Papers

dataset-distillation-with-attention-labels

Implementation of "Dataset Distillation with Attention Labels for fine-tuning BERT" (accepted by ACL2023 main (short))

DiLM

Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".

GR-HMI

Implementation for Generative Replay inspired by Hippocampal Memory Indexing for Continual Language Learning

mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

setup-remote

text-dataset-distillation

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

RSTParser_EACL24

Implementation of "Can we obtain significant success in RST discourse parsing by using Large Language Models?" (accepted by EACL 2024)

setup-remote

arumaekawa/dataset-distillation-with-attention-labels

Implementation of "Dataset Distillation with Attention Labels for fine-tuning BERT" (accepted by ACL2023 main (short))

arumaekawa/DiLM

Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".

arumaekawa/text-dataset-distillation

arumaekawa/GR-HMI

Implementation for Generative Replay inspired by Hippocampal Memory Indexing for Continual Language Learning

arumaekawa/Awesome-Dataset-Distillation

Awesome Dataset Distillation Papers

arumaekawa/mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

arumaekawa/setup-remote

arumaekawa/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.