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On Calibration of Modern Neural Networks

International Conference on Machine Learning (ICML), 2017

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

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Title
Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly WrongNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Chenglei Si Navita Goyal Sherry Tongshuang Wu Chen Zhao Shi Feng Hal Daumé Jordan L. Boyd-Graber LRM 398 59 0 19 Oct 2023
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting Guande He Peng Cui Jianfei Chen Wenbo Hu Jun Zhu 215 14 0 18 Oct 2023
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction Seohyeon Cha Honggu Kang Joonhyuk Kang 406 4 0 17 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 558 17 0 17 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain AdaptationInternational Conference on Machine Learning (ICML), 2023 Taejong Joo Diego Klabjan 371 1 0 16 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 168 2 0 16 Oct 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot ClassificationNeural Information Processing Systems (NeurIPS), 2023 Tianjun Ke Haoqun Cao Zenan Ling Feng Zhou UQCV 183 10 0 16 Oct 2023
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk ControlIEEE Journal on Selected Areas in Information Theory (JSAIT), 2023 Matteo Zecchin Sangwoo Park Osvaldo Simeone 372 23 0 16 Oct 2023
New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models Jinwoo Seo Soora Choi Eungyeom Ha Beomjune Kim Dongbin Na 120 1 0 15 Oct 2023
It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models Lin Chen Michal Lukasik Wittawat Jitkrittum Chong You Sanjiv Kumar 326 1 0 13 Oct 2023
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN Florence Regol Joud Chataoui Mark Coates 260 14 0 13 Oct 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Hongfu Liu Ye Wang 166 11 0 13 Oct 2023
AutoVP: An Automated Visual Prompting Framework and BenchmarkInternational Conference on Learning Representations (ICLR), 2023 Hsi-Ai Tsao Lei Hsiung Pin-Yu Chen Sijia Liu Tsung-Yi Ho VLM 260 27 0 12 Oct 2023
Conformal inference for regression on Riemannian Manifolds A. Cholaquidis Fabrice Gamboa L. Moreno 207 0 0 12 Oct 2023
Conformal Prediction for Deep Classifier via Label RankingInternational Conference on Machine Learning (ICML), 2023 Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Jianguo Huang 420 41 0 10 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 243 0 0 10 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 335 46 0 09 Oct 2023
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource LearnersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Yun Luo Zhen Yang Fandong Meng Yingjie Li Fang Guo Qinglin Qi Jie Zhou Yue Zhang 289 2 0 09 Oct 2023
How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty Denis Mbey Akola Gianni Franchi ObjD UQCV 265 3 0 07 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust ClassifiersNeural Information Processing Systems (NeurIPS), 2023 Zhenglin Huang Xianan Bao Na Zhang Qingqi Zhang Xiaomei Tu Biao Wu Xi Yang 533 16 0 07 Oct 2023
A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores Ke Shen Mayank Kejriwal 191 2 0 05 Oct 2023
Sparse Deep Learning for Time Series Data: Theory and ApplicationsNeural Information Processing Systems (NeurIPS), 2023 Mingxuan Zhang Y. Sun Faming Liang AI4TS OOD BDL 214 4 0 05 Oct 2023
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves Jirí Navrátil Benjamin Elder Matthew Arnold Soumya Ghosh P. Sattigeri 108 0 0 04 Oct 2023
A Metacognitive Approach to Out-of-Distribution Detection for SegmentationIEEE International Conference on Robotics and Automation (ICRA), 2023 Meghna Gummadi Cassandra Kent Karl Schmeckpeper Eric Eaton UQCV 169 2 0 04 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation SmoothnessInternational Conference on Learning Representations (ICLR), 2023 Fran Jelenić Josip Jukić Martin Tutek Mate Puljiz Jan vSnajder OODD 276 9 0 04 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metricsInternational Conference on Learning Representations (ICLR), 2023 Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 170 12 0 04 Oct 2023
Bag of Tricks for Fully Test-Time AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Saypraseuth Mounsaveng Florent Chiaroni Malik Boudiaf M. Pedersoli Ismail Ben Ayed TTA 246 8 0 03 Oct 2023
Fusing Models with Complementary ExpertiseInternational Conference on Learning Representations (ICLR), 2023 Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric Xing Mikhail Yurochkin FedML MoMe 433 39 0 02 Oct 2023
Unified Uncertainty Calibration Kamalika Chaudhuri David Lopez-Paz 282 0 0 02 Oct 2023
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 174 5 0 02 Oct 2023
Deep Neural Networks Tend To Extrapolate PredictablyInternational Conference on Learning Representations (ICLR), 2023 Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 193 0 0 02 Oct 2023
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology Lucas Rosenblatt Bin Han E. Posthumus Theresa Crimmins Bill Howe 119 1 0 01 Oct 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection EnhancementInternational Conference on Learning Representations (ICLR), 2023 Kai Xu Rongyu Chen Gianni Franchi Angela Yao OODD 248 58 0 30 Sep 2023
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2023 Ansong Ni Pengcheng Yin Yilun Zhao Chen Wei Yanjun Wang ... Mingyuan Zhang Chen Change Loy Yingbo Zhou Dragomir R. Radev Arman Cohan ELM 243 29 0 29 Sep 2023
LoRA ensembles for large language model fine-tuning Xi Wang Laurence Aitchison Maja Rudolph UQCV 438 53 0 29 Sep 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt EngineeringInternational Conference on Learning Representations (ICLR), 2023 Han Zhou Xingchen Wan Lev Proleev Diana Mincu Jilin Chen Katherine A. Heller Subhrajit Roy UQLM 337 80 0 29 Sep 2023
Discovering environments with XRMInternational Conference on Machine Learning (ICML), 2023 Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 238 21 0 28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 251 35 0 28 Sep 2023
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence ConstraintsInternational Conference on Learning Representations (ICLR), 2023 Simon Mahns Yibo Jiang Yuguang Yang Han Liu Yuxin Chen 254 143 0 28 Sep 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 270 8 0 28 Sep 2023
The Trickle-down Impact of Reward (In-)consistency on RLHF Lingfeng Shen Sihao Chen Linfeng Song Lifeng Jin Baolin Peng Haitao Mi Daniel Khashabi Dong Yu 247 28 0 28 Sep 2023
Large Language Model Routing with Benchmark Datasets Tal Shnitzer Anthony Ou Mírian Silva Kate Soule Yuekai Sun Justin Solomon Neil Thompson Mikhail Yurochkin RALM 281 112 0 27 Sep 2023
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations Hui Chen Hengyu Liu LongBing Cao Tiancheng Zhang FedML 210 4 0 27 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 256 7 0 27 Sep 2023
Towards Efficient and Reliable AI Through Neuromorphic Principles Yongchao Chen Osvaldo Simeone Bashir M. Al-Hashimi 253 5 0 27 Sep 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 486 13 0 26 Sep 2023
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score CalibrationInternational Joint Conference on Natural Language Processing (IJCNLP), 2023 Minseok Choi Hyesu Lim Jaegul Choo 157 2 0 25 Sep 2023
On Calibration of Modern Quantized Efficient Neural Networks Joe-Hwa Kuang Alexander Wong UQCV MQ 345 1 0 25 Sep 2023
Understanding Calibration of Deep Neural Networks for Medical Image Classification A. Sambyal Usma Niyaz N. C. Krishnan Deepti R. Bathula 222 16 0 22 Sep 2023
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Justin Chih-Yao Chen Swarnadeep Saha Joey Tianyi Zhou LLMAG LRM 475 233 0 22 Sep 2023