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Selective Classification for Deep Neural Networks

Selective Classification for Deep Neural Networks

23 May 2017
Yonatan Geifman
Ran El-Yaniv
    CVBM
ArXivPDFHTML

Papers citing "Selective Classification for Deep Neural Networks"

50 / 321 papers shown
Title
Selective Explanations
Selective Explanations
Lucas Monteiro Paes
Dennis L. Wei
Flavio du Pin Calmon
FAtt
38
0
0
29 May 2024
A Causal Framework for Evaluating Deferring Systems
A Causal Framework for Evaluating Deferring Systems
Filippo Palomba
Andrea Pugnana
Jose M. Alvarez
Salvatore Ruggieri
CML
59
3
0
29 May 2024
Rejection via Learning Density Ratios
Rejection via Learning Density Ratios
Alexander Soen
Hisham Husain
Philip Schulz
Vu-Linh Nguyen
63
2
0
29 May 2024
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty
  in Words?
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
G. Yona
Roee Aharoni
Mor Geva
HILM
49
17
0
27 May 2024
Hierarchical Selective Classification
Hierarchical Selective Classification
Shani Goren
Ido Galil
Ran El-Yaniv
BDL
67
1
0
19 May 2024
Conformal Alignment: Knowing When to Trust Foundation Models with
  Guarantees
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
Yu Gui
Ying Jin
Zhimei Ren
MedIm
48
18
0
16 May 2024
Can we Defend Against the Unknown? An Empirical Study About Threshold
  Selection for Neural Network Monitoring
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring
Khoi Tran Dang
Kevin Delmas
Jérémie Guiochet
Joris Guérin
48
1
0
14 May 2024
Selective Classification Under Distribution Shifts
Selective Classification Under Distribution Shifts
Hengyue Liang
Le Peng
Ju Sun
UQCV
45
2
0
08 May 2024
Cost-Sensitive Uncertainty-Based Failure Recognition for Object
  Detection
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection
Moussa Kassem Sbeyti
Michelle Karg
Christian Wirth
Nadja Klein
S. Albayrak
UQCV
34
1
0
26 Apr 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma
Reid Chen
Chen
Sui Jiet Tay
Satya Sai Srinath Namburi
Frederic Sala
Ramya Korlakai Vinayak
43
2
0
24 Apr 2024
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces
  Hallucinations
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
Christian Tomani
Kamalika Chaudhuri
Ivan Evtimov
Daniel Cremers
Mark Ibrahim
59
10
0
16 Apr 2024
Consistency and Uncertainty: Identifying Unreliable Responses From
  Black-Box Vision-Language Models for Selective Visual Question Answering
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
Zaid Khan
Yun Fu
AAML
39
8
0
16 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
60
6
0
12 Apr 2024
Mitigating LLM Hallucinations via Conformal Abstention
Mitigating LLM Hallucinations via Conformal Abstention
Yasin Abbasi-Yadkori
Ilja Kuzborskij
David Stutz
András György
Adam Fisch
...
Wei-Hung Weng
Yao-Yuan Yang
Csaba Szepesvári
A. Cemgil
Nenad Tomašev
HILM
49
12
0
04 Apr 2024
Selective Temporal Knowledge Graph Reasoning
Selective Temporal Knowledge Graph Reasoning
Zhongni Hou
Xiaolong Jin
Zixuan Li
Long Bai
Jiafeng Guo
Xueqi Cheng
43
0
0
02 Apr 2024
LUQ: Long-text Uncertainty Quantification for LLMs
LUQ: Long-text Uncertainty Quantification for LLMs
Caiqi Zhang
Fangyu Liu
Marco Basaldella
Nigel Collier
HILM
58
25
0
29 Mar 2024
Few-Shot Recalibration of Language Models
Few-Shot Recalibration of Language Models
Xiang Lisa Li
Urvashi Khandelwal
Kelvin Guu
49
5
0
27 Mar 2024
SCOD: From Heuristics to Theory
SCOD: From Heuristics to Theory
Vojtech Franc
Jakub Paplhám
D. Prusa
34
2
0
25 Mar 2024
Out-of-Distribution Detection Should Use Conformal Prediction (and
  Vice-versa?)
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
Paul Novello
Joseba Dalmau
Léo Andéol
OODD
37
2
0
18 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
57
10
0
05 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCV
OOD
43
4
0
01 Mar 2024
Conformalized Selective Regression
Conformalized Selective Regression
Anna Sokol
Nuno Moniz
Nitesh Chawla
38
1
0
26 Feb 2024
Selective "Selective Prediction": Reducing Unnecessary Abstention in
  Vision-Language Reasoning
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
Tejas Srinivasan
Jack Hessel
Tanmay Gupta
Bill Yuchen Lin
Yejin Choi
Jesse Thomason
Khyathi Raghavi Chandu
32
7
0
23 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention
  Mechanism
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
Hippolyte Gisserot-Boukhlef
Manuel Faysse
Emmanuel Malherbe
C´eline Hudelot
Pierre Colombo
38
2
0
20 Feb 2024
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via
  Controllable Question Decomposition
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition
Zhaorun Chen
Zhuokai Zhao
Zhihong Zhu
Ruiqi Zhang
Xiang Li
Bhiksha Raj
Huaxiu Yao
LRM
30
25
0
18 Feb 2024
Predictive Uncertainty Quantification via Risk Decompositions for
  Strictly Proper Scoring Rules
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules
Nikita Kotelevskii
Maxim Panov
PER
UQCV
UD
42
5
0
16 Feb 2024
Selective Prediction for Semantic Segmentation using Post-Hoc Confidence
  Estimation and Its Performance under Distribution Shift
Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shift
Bruno Laboissiere Camargos Borges
Bruno Machado Pacheco
Danilo Silva
22
0
0
16 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic
  Regularization
Selective Learning: Towards Robust Calibration with Dynamic Regularization
Zongbo Han
Yifeng Yang
Changqing Zhang
Linjun Zhang
Qiufeng Wang
Qinghua Hu
29
4
0
13 Feb 2024
Uncertainty Quantification via Stable Distribution Propagation
Uncertainty Quantification via Stable Distribution Propagation
Felix Petersen
Aashwin Mishra
Hilde Kuehne
Christian Borgelt
Oliver Deussen
Mikhail Yurochkin
UQCV
48
5
0
13 Feb 2024
Inherent Diverse Redundant Safety Mechanisms for AI-based Software
  Elements in Automotive Applications
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications
Mandar Pitale
Alireza Abbaspour
Devesh Upadhyay
48
4
0
13 Feb 2024
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and
  Calibration in Legal Case Outcome Classification
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification
Shanshan Xu
Santosh T.Y.S.S
O. Ichim
Barbara Plank
Matthias Grabmair
43
4
0
11 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi
Roberto Pellungrini
Mattia Setzu
F. Giannotti
D. Pedreschi
25
5
0
09 Feb 2024
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian
  Processes
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
Yingyi Chen
Qinghua Tao
F. Tonin
Johan A. K. Suykens
27
1
0
02 Feb 2024
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering
  with Multi-Granularity Answers
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
G. Yona
Roee Aharoni
Mor Geva
ELM
49
11
0
09 Jan 2024
Uncertainty Quantification on Clinical Trial Outcome Prediction
Uncertainty Quantification on Clinical Trial Outcome Prediction
Tianyi Chen
Yingzhou Lu
Nan Hao
Capucine Van Rechem
Jintai Chen
Tianfan Fu
30
21
0
07 Jan 2024
Towards Context-Aware Domain Generalization: Understanding the Benefits
  and Limits of Marginal Transfer Learning
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
Jens Müller
Lars Kühmichel
Martin Rohbeck
Stefan T. Radev
Ullrich Kothe
OOD
44
0
0
15 Dec 2023
Uncertainty-aware Language Modeling for Selective Question Answering
Uncertainty-aware Language Modeling for Selective Question Answering
Qi Yang
Shreya Ravikumar
F. Schmitt-Ulms
S. Lolla
Ege Demir
...
Sadhana Lolla
Elaheh Ahmadi
Daniela Rus
Alexander Amini
Alejandro Perez
20
7
0
26 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty
  Estimation
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana
Carlos Mougan
Dan Saattrup Nielsen
49
0
0
15 Nov 2023
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence
  Estimation
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
Vaishnavi Shrivastava
Percy Liang
Ananya Kumar
28
28
0
15 Nov 2023
Regression with Cost-based Rejection
Regression with Cost-based Rejection
Xin Cheng
Yuzhou Cao
Haobo Wang
Hongxin Wei
Bo An
Lei Feng
OOD
50
7
0
08 Nov 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and
  Algorithms
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
Anqi Mao
M. Mohri
Yutao Zhong
42
24
0
23 Oct 2023
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Jiefeng Chen
Jinsung Yoon
Sayna Ebrahimi
Sercan O. Arik
Tomas Pfister
Somesh Jha
33
31
0
18 Oct 2023
Fair Classifiers that Abstain without Harm
Fair Classifiers that Abstain without Harm
Tongxin Yin
Jean-François Ton
Ruocheng Guo
Yuanshun Yao
Mingyan Liu
Yang Liu
27
4
0
09 Oct 2023
Improving Vision Anomaly Detection with the Guidance of Language
  Modality
Improving Vision Anomaly Detection with the Guidance of Language Modality
Dong Chen
Kaihang Pan
Guoming Wang
Yueting Zhuang
Siliang Tang
30
3
0
04 Oct 2023
Fusing Models with Complementary Expertise
Fusing Models with Complementary Expertise
Hongyi Wang
Felipe Maia Polo
Yuekai Sun
Souvik Kundu
Eric Xing
Mikhail Yurochkin
FedML
MoMe
31
27
0
02 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably
Deep Neural Networks Tend To Extrapolate Predictably
Katie Kang
Amrith Rajagopal Setlur
Claire Tomlin
Sergey Levine
31
0
0
02 Oct 2023
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of
  Language Models
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Mert Yuksekgonul
Varun Chandrasekaran
Erik Jones
Suriya Gunasekar
Ranjita Naik
Hamid Palangi
Ece Kamar
Besmira Nushi
HILM
31
40
0
26 Sep 2023
Learning to Abstain From Uninformative Data
Learning to Abstain From Uninformative Data
Yikai Zhang
Songzhu Zheng
M. Dalirrooyfard
Pengxiang Wu
Anderson Schneider
Anant Raj
Yuriy Nevmyvaka
Chao Chen
26
2
0
25 Sep 2023
Learning Point-wise Abstaining Penalty for Point Cloud Anomaly Detection
Learning Point-wise Abstaining Penalty for Point Cloud Anomaly Detection
Shaocong Xu
Pengfei Li
Xinyi Liu
Qianpu Sun
Yang Li
...
Bo Jiang
Rui Wang
Kehua Sheng
Bo Zhang
Hao Zhao
3DPC
21
0
0
19 Sep 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration
  for Classification of Cardiac MR Images
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images
Tareen Dawood
Chen Chen
B. Sidhu
B. Ruijsink
J. Gould
...
Vishal S. Mehta
C. Rinaldi
Esther Puyol-Antón
Reza Razavi
A. King
OOD
30
10
0
29 Aug 2023
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