3 citations · 5 across the 4 of their papers we have counts for
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Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher
Mehdi Rezagholizadeh, Aref Jafari, Puneeth Salad +3
With ever growing scale of neural models, knowledge distillation (KD) attracts more attention as a prominent tool for neural model compression. However, there are counter intuitive…
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding
Tianda Li, Ahmad Rashid, Aref Jafari +3
Knowledge Distillation (KD) is a model compression algorithm that helps transfer the knowledge of a large neural network into a smaller one. Even though KD has shown promise on a w…
Annealing Knowledge Distillation
Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma +1
Significant memory and computational requirements of large deep neural networks restrict their application on edge devices. Knowledge distillation (KD) is a prominent model compres…
Segmentation Approach for Coreference Resolution Task
Aref Jafari, Ali Ghodsi
In coreference resolution, it is important to consider all members of a coreference cluster and decide about all of them at once. This technique can help to avoid losing precision…