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Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference
  in Low Resource Settings

Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings

4 June 2023
Daniel Rotem
Michael Hassid
Jonathan Mamou
Roy Schwartz
ArXivPDFHTML

Papers citing "Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings"

5 / 5 papers shown
Title
Learning to Inference Adaptively for Multimodal Large Language Models
Learning to Inference Adaptively for Multimodal Large Language Models
Zhuoyan Xu
Khoi Duc Nguyen
Preeti Mukherjee
Saurabh Bagchi
Somali Chaterji
Yingyu Liang
Yin Li
LRM
46
1
0
13 Mar 2025
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
S. Hor
Ying Qian
Mert Pilanci
Amin Arbabian
23
0
0
06 Feb 2024
Consistent Accelerated Inference via Confident Adaptive Transformers
Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster
Adam Fisch
Tommi Jaakkola
Regina Barzilay
AI4TS
184
69
0
18 Apr 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy
  and Computational Cost of Cascade Inference Systems
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
Shohei Enomoto
Takeharu Eda
UQCV
46
17
0
15 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
297
6,959
0
20 Apr 2018
1