FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?

23 May 2022

Papers citing "FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?"

8 / 8 papers shown

Title
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms Shikhar Tuli N. Jha 36 3 0 24 Mar 2023
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers Shikhar Tuli N. Jha 33 31 0 28 Feb 2023
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework Shikhar Tuli Chia-Hao Li Ritvik Sharma N. Jha 36 13 0 07 Dec 2022
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 91 152 0 17 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,925 0 17 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015