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cs.LG2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model
Sosuke Kobayashi, Shun Kiyono, Jun Suzuki +1
Ensembling is a popular method used to improve performance as a last resort. However, ensembling multiple models finetuned from a single pretrained model has been not very effectiv…
cs.LG2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato, Jun Suzuki, Hiroyuki Shindo +1
Following great success in the image processing field, the idea of adversarial training has been applied to tasks in the natural language processing (NLP) field. One promising appr…