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Fast yet Safe: Early-Exiting with Risk Control

Fast yet Safe: Early-Exiting with Risk Control

31 May 2024
Metod Jazbec
Alexander Timans
Tin Hadvzi Veljković
K. Sakmann
Dan Zhang
C. A. Naesseth
Eric T. Nalisnick
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Papers citing "Fast yet Safe: Early-Exiting with Risk Control"

15 / 15 papers shown
Title
Adaptive Layer-skipping in Pre-trained LLMs
Adaptive Layer-skipping in Pre-trained LLMs
Xuan Luo
Weizhi Wang
Xifeng Yan
61
0
0
31 Mar 2025
Conformal Risk Control for Ordinal Classification
Conformal Risk Control for Ordinal Classification
Yunpeng Xu
Wenge Guo
Zhi Wei
14
6
0
01 May 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Alexander Timans
C. Straehle
K. Sakmann
Eric T. Nalisnick
18
6
0
12 Mar 2024
A Survey of Resource-efficient LLM and Multimodal Foundation Models
A Survey of Resource-efficient LLM and Multimodal Foundation Models
Mengwei Xu
Wangsong Yin
Dongqi Cai
Rongjie Yi
Daliang Xu
...
Shangguang Wang
Yuanchun Li
Yunxin Liu
Xin Jin
Xuanzhe Liu
VLM
67
70
0
16 Jan 2024
Conformal Language Modeling
Conformal Language Modeling
Victor Quach
Adam Fisch
Tal Schuster
Adam Yala
J. Sohn
Tommi Jaakkola
Regina Barzilay
77
55
0
16 Jun 2023
Learning to Weight Samples for Dynamic Early-exiting Networks
Learning to Weight Samples for Dynamic Early-exiting Networks
Yizeng Han
Yifan Pu
Zihang Lai
Chaofei Wang
S. Song
Junfen Cao
Wenhui Huang
Chao Deng
Gao Huang
51
54
0
17 Sep 2022
Achieving Risk Control in Online Learning Settings
Achieving Risk Control in Online Learning Settings
Shai Feldman
Liran Ringel
Stephen Bates
Yaniv Romano
63
28
0
18 May 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
92
125
0
03 Oct 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
626
0
21 Apr 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster
Adam Fisch
Tommi Jaakkola
Regina Barzilay
AI4TS
179
69
0
18 Apr 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
173
184
0
07 Jan 2021
Estimating means of bounded random variables by betting
Estimating means of bounded random variables by betting
Ian Waudby-Smith
Aaditya Ramdas
49
148
0
19 Oct 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Sangdon Park
Osbert Bastani
Nikolai Matni
Insup Lee
UQCV
118
68
0
31 Dec 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
187
3,480
0
20 Aug 2019
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
170
3,504
0
10 Jun 2015
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