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A General and Adaptive Robust Loss Function

A General and Adaptive Robust Loss Function

11 January 2017
Jonathan T. Barron
    OOD
    DRL
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Papers citing "A General and Adaptive Robust Loss Function"

50 / 100 papers shown
Title
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad
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High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
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Kfir Y. Levy
V. Cevher
25
40
0
06 Apr 2022
AKF-SR: Adaptive Kalman Filtering-based Successor Representation
AKF-SR: Adaptive Kalman Filtering-based Successor Representation
Parvin Malekzadeh
Mohammad Salimibeni
Ming Hou
Arash Mohammadi
Konstantinos N. Plataniotis
19
5
0
31 Mar 2022
Flexible risk design using bi-directional dispersion
Flexible risk design using bi-directional dispersion
Matthew J. Holland
38
6
0
28 Mar 2022
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for
  Weakly-supervised 6D Object Pose Estimation
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation
Fu Li
Hao Yu
I. Shugurov
Benjamin Busam
Shaowu Yang
Slobodan Ilic
3DH
38
61
0
09 Mar 2022
FORML: Learning to Reweight Data for Fairness
FORML: Learning to Reweight Data for Fairness
Bobby Yan
Skyler Seto
N. Apostoloff
FaML
25
11
0
03 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Deebul Nair
Nico Hochgeschwender
Miguel A. Olivares-Mendez
OOD
30
7
0
03 Feb 2022
EM-driven unsupervised learning for efficient motion segmentation
EM-driven unsupervised learning for efficient motion segmentation
E. Meunier
A. Badoual
P. Bouthemy
33
39
0
06 Jan 2022
DC-Loc: Accurate Automotive Radar Based Metric Localization with
  Explicit Doppler Compensation
DC-Loc: Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation
P. Gao
Shengkai Zhang
Wen Wang
Chris Xiaoxuan Lu
26
16
0
30 Dec 2021
Squareplus: A Softplus-Like Algebraic Rectifier
Squareplus: A Softplus-Like Algebraic Rectifier
Jonathan T. Barron
27
19
0
22 Dec 2021
Revisiting LiDAR Registration and Reconstruction: A Range Image
  Perspective
Revisiting LiDAR Registration and Reconstruction: A Range Image Perspective
W. Dong
Kwonyoung Ryu
Michael Kaess
Jaesik Park
3DV
38
5
0
06 Dec 2021
Probabilistic Regression with Huber Distributions
Probabilistic Regression with Huber Distributions
David Mohlin
G. Bianchi
Josephine Sullivan
34
2
0
19 Nov 2021
Multi-Stream Attention Learning for Monocular Vehicle Velocity and
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Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation
Kuan-Chih Huang
Yu-Kai Huang
Winston H. Hsu
16
4
0
22 Oct 2021
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
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
25
35
0
12 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image
  Enhancement
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
Uddeshya Upadhyay
Viswanath P. Sudarshan
Suyash P. Awate
MedIm
49
21
0
07 Oct 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient
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Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay Kumar
101
53
0
25 Sep 2021
Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite
  Relaxations and Scalable Global Optimization
Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization
Heng Yang
Luca Carlone
27
53
0
07 Sep 2021
Generalized Huber Loss for Robust Learning and its Efficient
  Minimization for a Robust Statistics
Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics
Kaan Gokcesu
Hakan Gokcesu
19
59
0
28 Aug 2021
Majorization Minimization Methods for Distributed Pose Graph
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Majorization Minimization Methods for Distributed Pose Graph Optimization
Taosha Fan
Todd D. Murphey
36
18
0
30 Jul 2021
Human Pose Regression with Residual Log-likelihood Estimation
Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li
Siyuan Bian
Ailing Zeng
Can Wang
Bo Pang
Wentao Liu
Cewu Lu
25
192
0
23 Jul 2021
Robust Nonparametric Regression with Deep Neural Networks
Robust Nonparametric Regression with Deep Neural Networks
Guohao Shen
Yuling Jiao
Yuanyuan Lin
Jian Huang
OOD
33
13
0
21 Jul 2021
Being Properly Improper
Being Properly Improper
Tyler Sypherd
Richard Nock
Lalitha Sankar
FaML
39
10
0
18 Jun 2021
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental
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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
24
20
0
17 Jun 2021
LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater
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LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement
Hao-Hsiang Yang
Kuan-Chih Huang
Wei-Ting Chen
35
59
0
04 May 2021
S3Net: A Single Stream Structure for Depth Guided Image Relighting
S3Net: A Single Stream Structure for Depth Guided Image Relighting
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Sy-Yen Kuo
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23
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SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround
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Markus Bach
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MDE
50
37
0
09 Apr 2021
Baking Neural Radiance Fields for Real-Time View Synthesis
Baking Neural Radiance Fields for Real-Time View Synthesis
Peter Hedman
Pratul P. Srinivasan
B. Mildenhall
Jonathan T. Barron
P. Debevec
75
562
0
26 Mar 2021
Neural Reprojection Error: Merging Feature Learning and Camera Pose
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Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
Hugo Germain
Vincent Lepetit
Guillaume Bourmaud
3DV
50
32
0
12 Mar 2021
A Comprehensive Review of Deep Learning-based Single Image
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A Comprehensive Review of Deep Learning-based Single Image Super-resolution
S. M. A. Bashir
Yi Wang
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SupR
AI4Cl
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18 Feb 2021
OmniDet: Surround View Cameras based Multi-task Visual Perception
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OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving
Varun Ravi Kumar
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Hazem Rashed
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Christian Witt
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Stefan Milz
Patrick Mäder
39
90
0
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Nerfies: Deformable Neural Radiance Fields
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Sofien Bouaziz
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76
1,110
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25 Nov 2020
High Fidelity Interactive Video Segmentation Using Tensor Decomposition
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High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
A. Rhodes
Manan Goel
VOS
19
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Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets
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Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training
Dingquan Li
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Ming Jiang
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133
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ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust
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ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants
Jingang Shi
Heng Yang
Luca Carlone
26
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Machine Learning Force Fields
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Stefan Chmiela
H. E. Sauceda
M. Gastegger
I. Poltavsky
Kristof T. Schütt
A. Tkatchenko
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AI4CE
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei
Hannan Lu
Radu Timofte
Liang Lin
W. Zuo
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Jun-Ho Choi
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Feras Almasri
T. Vandamme
O. Debeir
SupR
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SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation
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SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
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TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D
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HITNet: Hierarchical Iterative Tile Refinement Network for Real-time
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A One-step Approach to Covariate Shift Adaptation
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19
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SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks
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A. Mehmood
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36
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SteReFo: Efficient Image Refocusing with Stereo Vision
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Matthieu Hog
Jingyu Sun
Greg Slabaugh
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Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
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Seong-Gyun Jeong
Pietro Perona
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EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
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Chethan Parameshwara
Chahat Deep Singh
Ashwin V. Kuruttukulam
Cornelia Fermuller
Davide Scaramuzza
Yiannis Aloimonos
30
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Improved Training Speed, Accuracy, and Data Utilization Through Loss
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Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization
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