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An Alternative Probabilistic Interpretation of the Huber Loss

5 November 2019

Papers citing "An Alternative Probabilistic Interpretation of the Huber Loss"

48 / 48 papers shown

Title
PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation Yanlong Chen Mattia Orlandi Pierangelo Maria Rapa Simone Benatti Luca Benini Yawei Li 95 0 0 12 Jun 2025
Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture Linwei Zhang LuFeng Ruijia Liang 22 4 0 15 May 2025
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations Yihang Lu Yangyang Xu Qitao Qing Xianwei Meng AI4TS 102 0 0 17 Apr 2025
Foundation Models for Time Series: A Survey Siva Rama Krishna Kottapalli Karthik Hubli Sandeep Chandrashekhara Garima Jain Sunayana Hubli Gayathri Botla Ramesh Doddaiah AI4TS AI4CE 113 0 0 05 Apr 2025
Deep Variational Bayesian Modeling of Haze Degradation Process Eun Woo Im Junsung Shin Sungyong Baik Tae Hyun Kim 124 0 0 04 Dec 2024
Residual-based Adaptive Huber Loss (RAHL) -- Design of an improved Huber loss for CQI prediction in 5G networks Mina Kaviani Jurandy Almeida F. Verdi 47 1 0 27 Aug 2024
VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification Paolo Conti Jonas Kneifl Andrea Manzoni A. Frangi Jörg Fehr Steven L. Brunton J. Nathan Kutz 95 6 0 31 May 2024
QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines Zhenxiao Fu Min Yang Cheng Chu Yilun Xu Gang Huang Fan Chen 67 4 0 16 Mar 2024
Information Lower Bounds for Robust Mean Estimation Rémy Degenne Timothée Mathieu 48 0 0 04 Mar 2024
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer Md Kowsher Abdul Rafae Khan Jia Xu 76 0 0 14 Feb 2024
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning Parvin Malekzadeh Konstantinos N. Plataniotis Zissis Poulos Zeyu Wang 76 2 0 04 Jan 2024
FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion Xinhao Xiang Jiawei Zhang 3DPC ViT 89 1 0 07 Nov 2023
$Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty$ Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Nathan Wycoff Ali Arab Katharine M. Donato Lisa O. Singh 55 3 0 09 Nov 2022
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting Aryan Jadon Avinash Patil Shruti Jadon AI4TS AI4CE 62 72 0 05 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 108 6 0 02 Nov 2022
Exponential Family Trend Filtering on Lattices Veeranjaneyulu Sadhanala R. Bassett James Sharpnack D. McDonald 62 3 0 19 Sep 2022
A novel Deep Learning approach for one-step Conformal Prediction approximation Julia A. Meister K. Nguyen S. Kapetanakis Zhiyuan Luo 78 5 0 25 Jul 2022
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures Alex Morehead Xiao Chen Tianqi Wu Jian Liu Jianlin Cheng 97 7 0 20 May 2022
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images S. Karatsiolis C. Padubidri A. Kamilaris 67 5 0 09 May 2022
Variational Sparse Coding with Learned Thresholding Kion Fallah Christopher Rozell DRL 82 7 0 07 May 2022
Balanced MSE for Imbalanced Visual Regression Jiawei Ren Mingyuan Zhang Cunjun Yu Ziwei Liu 100 120 0 30 Mar 2022
Markov subsampling based Huber Criterion Tieliang Gong Yuxin Dong Hong Chen B. Dong Chen Li 55 2 0 12 Dec 2021
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1 I. Ebert‐Uphoff Ryan Lagerquist Kyle Hilburn Yoonjin Lee Katherine Haynes Jason Stock C. Kumler J. Stewart 71 22 0 17 Jun 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 99 3 0 04 Jan 2021
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate C. Kümmerle C. M. Verdun Dominik Stöger 44 15 0 22 Dec 2020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection Di Feng Zining Wang Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer Masayoshi Tomizuka Wei Zhan 65 23 0 18 Dec 2020
MultiXNet: Multiclass Multistage Multimodal Motion Prediction Nemanja Djuric Henggang Cui Zhaoen Su Shangxuan Wu Huahua Wang ... Sidney Zhang Brian C. Becker Gregory P. Meyer Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 97 50 0 03 Jun 2020
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation Zhaohui Zheng Ping Wang Dongwei Ren Wei Liu Rongguang Ye Q. Hu W. Zuo VLM 88 900 0 07 May 2020
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting Gregory P. Meyer Jake Charland Shreyash Pandey A. Laddha Shivam Gautam Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 89 41 0 12 Mar 2020
Inferring Spatial Uncertainty in Object Detection Zining Wang Di Feng Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer Masayoshi Tomizuka Wei Zhan 96 27 0 07 Mar 2020
Learning an Uncertainty-Aware Object Detector for Autonomous Driving Gregory P. Meyer Niranjan Thakurdesai UQCV 81 62 0 24 Oct 2019
Adaptive Learning Rate Clipping Stabilizes Learning Jeffrey M. Ede R. Beanland 54 39 0 21 Jun 2019
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction Jason Ku Alex D. Pon Steven L. Waslander 3DPC 100 254 0 02 Apr 2019
PIXOR: Real-time 3D Object Detection from Point Clouds Binh Yang Wenjie Luo R. Urtasun 3DPC 115 1,098 0 17 Feb 2019
Pyramid Stereo Matching Network Jia-Ren Chang Yonghao Chen 3DPC 138 1,513 0 23 Mar 2018
Joint 3D Proposal Generation and Object Detection from View Aggregation Jason Ku Melissa Mozifian Jungwook Lee Ali Harakeh Steven Waslander 3DPC 92 1,401 0 06 Dec 2017
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 135 3,006 0 07 Aug 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 433 27,334 0 20 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 528 22,251 0 09 Dec 2016
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild R. Güler George Trigeorgis Epameinondas Antonakos Patrick Snape Stefanos Zafeiriou Iasonas Kokkinos 3DH 3DV 121 201 0 04 Dec 2016
Multi-View 3D Object Detection Network for Autonomous Driving Xiaozhi Chen Huimin Ma Ji Wan Bo Li Tian Xia 3DPC 281 2,786 0 23 Nov 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 159 2,425 0 12 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.4K 195,011 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 275 29,966 0 08 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 564 62,668 0 04 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 369 25,148 0 30 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.8K 100,713 0 04 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 479 43,961 0 01 May 2014