Selective Classification for Deep Neural Networks

23 May 2017

Papers citing "Selective Classification for Deep Neural Networks"

50 / 90 papers shown

Title
Interpretable and Fair Mechanisms for Abstaining Classifiers Daphne Lenders Andrea Pugnana Roberto Pellungrini Toon Calders D. Pedreschi F. Giannotti FaML 89 1 0 24 Mar 2025
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information Youngju Joung Sehyun Lee Jaesik Choi AAML 48 1 0 12 Mar 2025
Similarity-Distance-Magnitude Universal Verification Allen Schmaltz UQCV AAML 144 0 0 27 Feb 2025
Cost-Saving LLM Cascades with Early Abstention Michael J. Zellinger Rex Liu Matt Thomson 106 0 0 13 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 40 1 0 05 Feb 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 96 2 0 03 Jan 2025
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 88 5 0 05 Dec 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 37 1 0 05 Nov 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 42 0 0 04 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 116 0 0 03 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 66 3 0 18 Sep 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 39 0 0 26 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 48 0 0 23 Jun 2024
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications Jordy Van Landeghem Subhajit Maity Ayan Banerjee Matthew Blaschko Marie-Francine Moens Josep Lladós Sanket Biswas 43 2 0 12 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey Cheng Xu Shuhao Guan Derek Greene Mohand-Tahar Kechadi ELM ALM 38 38 0 06 Jun 2024
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs Shuang Ao Stefan Rueger Advaith Siddharthan 31 1 0 05 Jun 2024
Selective Explanations Lucas Monteiro Paes Dennis L. Wei Flavio du Pin Calmon FAtt 32 0 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 48 1 0 29 May 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 47 2 0 29 May 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees Yu Gui Ying Jin Zhimei Ren MedIm 30 18 0 16 May 2024
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 42 6 0 12 Apr 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 49 10 0 05 Mar 2024
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
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers G. Yona Roee Aharoni Mor Geva ELM 36 11 0 09 Jan 2024
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation Vaishnavi Shrivastava Percy Liang Ananya Kumar 18 28 0 15 Nov 2023
Learning to Abstain From Uninformative Data Yikai Zhang Songzhu Zheng M. Dalirrooyfard Pengxiang Wu Anderson Schneider Anant Raj Yuriy Nevmyvaka Chao Chen 20 2 0 25 Sep 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 49 5 0 22 Aug 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh OOD 31 5 0 07 Aug 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback Katherine Tian E. Mitchell Allan Zhou Archit Sharma Rafael Rafailov Huaxiu Yao Chelsea Finn Christopher D. Manning 49 284 0 24 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 50 10 0 13 Apr 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans Hussein Mozannar Hunter Lang Dennis L. Wei P. Sattigeri Subhro Das David Sontag 27 40 0 15 Jan 2023
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 26 35 0 28 Nov 2022
Promises and Pitfalls of Threshold-based Auto-labeling Harit Vishwakarma Heguang Lin Frederic Sala Ramya Korlakai Vinayak 26 9 0 22 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 75 2 0 18 Nov 2022
AUC-based Selective Classification Andrea Pugnana Salvatore Ruggieri 21 9 0 19 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 38 45 0 30 Sep 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 69 94 0 30 Sep 2022
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 227 500 0 28 Sep 2022
Interpretable Selective Learning in Credit Risk Dangxing Chen Weicheng Ye Jiahui Ye FaML 27 14 0 21 Sep 2022
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 182 77 0 16 Sep 2022
Learning When to Say "I Don't Know" Nicholas Kashani Motlagh Jim Davis Tim Anderson Jeremy Gwinnup 21 1 0 11 Sep 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 23 16 0 25 Aug 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 33 31 0 19 Jul 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation Jonghyun Lee Dahuin Jung Junho Yim Sung-Hoon Yoon TTA 13 70 0 14 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 23 25 0 12 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 26 5 0 05 Jun 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 18 21 0 26 May 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul Mariano Phielipp Alan Fern OffRL 20 0 0 22 May 2022