A General and Adaptive Robust Loss Function

11 January 2017

Papers citing "A General and Adaptive Robust Loss Function"

50 / 74 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 80 0 0 24 Apr 2025
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression Yixuan Zhang Dongyan Yudong Chen Qiaomin Xie 24 0 0 11 Apr 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 62 3 0 03 Feb 2025
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Seyedmorteza Sadat Jakob Buhmann Derek Bradley Otmar Hilliges Romann M. Weber 44 9 0 23 May 2024
IPC: Incremental Probabilistic Consensus-based Consistent Set Maximization for SLAM Backends Emilio Olivastri Alberto Pretto 35 0 0 14 May 2024
Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis Shahzeb Naeem Muhammad Riyyan Khan Usman Tariq Abhinav Dhall Carlos Ivan Colon H. Al-Nashash 34 1 0 01 Apr 2024
INPC: Implicit Neural Point Clouds for Radiance Field Rendering Florian Hahlbohm Linus Franke Moritz Kappel Susana Castillo Marc Stamminger M. Magnor Marcus Magnor 3DPC 64 4 0 25 Mar 2024
PAON: A New Neuron Model using Padé Approximants Onur Keleş A. Murat Tekalp 31 1 0 18 Mar 2024
Multi-Robot Relative Pose Estimation in SE(2) with Observability Analysis: A Comparison of Extended Kalman Filtering and Robust Pose Graph Optimization Kihoon Shin Hyunjae Sim Seungwon Nam Yonghee Kim Jae Hu Kwang-Ki K. Kim 23 3 0 27 Jan 2024
Are Ensembles Getting Better all the Time? Pierre-Alexandre Mattei Damien Garreau OOD FedML 32 1 0 29 Nov 2023
PolyMaX: General Dense Prediction with Mask Transformer Xuan S. Yang Liangzhe Yuan Kimberly Wilber Astuti Sharma Xiuye Gu ... Stephanie Debats Huisheng Wang Hartwig Adam Mikhail Sirotenko Liang-Chieh Chen 28 14 0 09 Nov 2023
Efficient Graduated Non-Convexity for Pose Graph Optimization Wonseok Kang Jaehyun Kim Jiseong Chung Seung-Kuk Choi Tae-wan Kim 19 1 0 10 Oct 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation Skyler Seto B. Theobald Federico Danieli Navdeep Jaitly Dan Busbridge TTA OOD 37 6 0 07 Sep 2023
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild Manuel Kaufmann Jie Song Chen Guo Kaiyue Shen Tianjian Jiang Chengcheng Tang Juan Jose Zarate Otmar Hilliges 3DH 32 39 0 31 Aug 2023
Adaptive Graduated Non-Convexity for Pose Graph Optimization Seung-Kuk Choi Wonseok Kang Jiseong Chung Jaehyun Kim Taewoo Kim 22 2 0 22 Aug 2023
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study Luis P. Silvestrin Shujian Yu Mark Hoogendoorn OOD 31 1 0 17 Jul 2023
Enabling Real-time Neural Recovery for Cloud Gaming on Mobile Devices Zhaoyuan He Yifan Yang Shuozhe Li Diyuan Dai Lili Qiu Yuqing Yang 14 0 0 15 Jul 2023
RoMa: Robust Dense Feature Matching Johan Edstedt Qiyu Sun Georg Bökman Maarten Wadenback M. Felsberg 3DV 31 91 0 24 May 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 24 22 0 12 Apr 2023
From Zero to Hero: Convincing with Extremely Complicated Math Maximilian Weiherer Bernhard Egger 8 2 0 01 Apr 2023
Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise Thamsanqa Mlotshwa H. V. Deventer Anna Sergeevna Bosman OOD 16 11 0 14 Feb 2023
RobustNeRF: Ignoring Distractors with Robust Losses S. Sabour Suhani Vora Daniel Duckworth Ivan Krasin David J. Fleet Andrea Tagliasacchi 27 71 0 02 Feb 2023
Robust variance-regularized risk minimization with concomitant scaling Matthew J. Holland 28 1 0 27 Jan 2023
SparsePose: Sparse-View Camera Pose Regression and Refinement Samarth Sinha Jason Y. Zhang Andrea Tagliasacchi Igor Gilitschenski David B. Lindell 21 42 0 29 Nov 2022
Neural Regression For Scale-Varying Targets Adam Khakhar Jacob Buckman 22 1 0 14 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Lukasz Treszczotko Xin-ke Chang ... Dongwon Park Seongmin Hong Joonhee Lee Seunggyu Lee Sengsub Chun 21 17 0 07 Nov 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 27 11 0 19 Sep 2022
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision Laurent Valentin Jospin Hamid Laga F. Boussaïd Bennamoun 30 1 0 12 Sep 2022
Reconstruction of Three-dimensional Scroll Waves in Excitable Media from Two-Dimensional Observations using Deep Neural Networks J. Lebert Meenakshi Mittal Jan Christoph 16 4 0 09 Sep 2022
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising Se-In Jang T. Pan Ye Li P. Heidari Junyu Chen Quanzheng Li Kuang Gong ViT MedIm 33 27 0 07 Sep 2022
Learning Continuous Implicit Representation for Near-Periodic Patterns B. Chen Tiancheng Zhi M. Hebert S. Narasimhan CLL AI4TS 19 5 0 25 Aug 2022
End-to-end deep learning for directly estimating grape yield from ground-based imagery A. Olenskyj B. Sams Zhenghao Fei Vishal Singh P. Raja G. Bornhorst J. M. Earles 26 28 0 04 Aug 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 24 76 0 19 Jul 2022
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation I. Shugurov Sergey Zakharov Slobodan Ilic 11 56 0 06 Jul 2022
Mind the Gap: Norm-Aware Adaptive Robust Loss for Multivariate Least-Squares Problems Thomas Hitchcox James Richard Forbes 22 8 0 18 Jun 2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Amin Shabani A. Abdi Li Meng Tristan Sylvain AI4TS 20 61 0 08 Jun 2022
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review Xin-Ru Feng Hengchao Li Rui Wang Q. Du X. Jia Antonio J. Plaza 19 63 0 20 May 2022
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles Shibal Ibrahim Hussein Hazimeh Rahul Mazumder 34 4 0 19 May 2022
AKF-SR: Adaptive Kalman Filtering-based Successor Representation Parvin Malekzadeh Mohammad Salimibeni Ming Hou Arash Mohammadi Konstantinos N. Plataniotis 13 5 0 31 Mar 2022
Flexible risk design using bi-directional dispersion Matthew J. Holland 29 5 0 28 Mar 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 18 11 0 03 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 22 7 0 03 Feb 2022
EM-driven unsupervised learning for efficient motion segmentation E. Meunier A. Badoual P. Bouthemy 30 39 0 06 Jan 2022
DC-Loc: Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation P. Gao Shengkai Zhang Wen Wang Chris Xiaoxuan Lu 16 16 0 30 Dec 2021
Squareplus: A Softplus-Like Algebraic Rectifier Jonathan T. Barron 11 19 0 22 Dec 2021
Revisiting LiDAR Registration and Reconstruction: A Range Image Perspective W. Dong Kwonyoung Ryu Michael Kaess Jaesik Park 3DV 32 5 0 06 Dec 2021
Probabilistic Regression with Huber Distributions David Mohlin G. Bianchi Josephine Sullivan 20 2 0 19 Nov 2021
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image Shumian Xin Neal Wadhwa Tianfan Xue Jonathan T. Barron Pratul P. Srinivasan Jiawen Chen Ioannis Gkioulekas Rahul Garg 18 35 0 12 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 43 21 0 07 Oct 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay R. Kumar 92 53 0 25 Sep 2021