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Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment

13 February 2023
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
    FaML
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Papers citing "Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment"

50 / 56 papers shown
Title
Facial Soft Biometrics for Recognition in the Wild: Recent Works,
  Annotation, and COTS Evaluation
Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation
E. González-Sosa
Julian Fierrez
R. Vera-Rodríguez
F. Alonso-Fernandez
CVBM
58
115
0
24 Oct 2022
IFBiD: Inference-Free Bias Detection
IFBiD: Inference-Free Bias Detection
Ignacio Serna
Daniel DeAlcala
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
CVBM
51
11
0
09 Sep 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Lu Cheng
Kush R. Varshney
Huan Liu
FaML
105
150
0
01 Jan 2021
Fair Attribute Classification through Latent Space De-biasing
Fair Attribute Classification through Latent Space De-biasing
V. V. Ramaswamy
Sunnie S. Y. Kim
Olga Russakovsky
57
164
0
02 Dec 2020
Understanding the Role of Individual Units in a Deep Neural Network
Understanding the Role of Individual Units in a Deep Neural Network
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Àgata Lapedriza
Bolei Zhou
Antonio Torralba
GAN
67
449
0
10 Sep 2020
Towards causal benchmarking of bias in face analysis algorithms
Towards causal benchmarking of bias in face analysis algorithms
Guha Balakrishnan
Yuanjun Xiong
Wei Xia
Pietro Perona
CVBM
58
90
0
13 Jul 2020
Smartphone Sensors for Modeling Human-Computer Interaction: General
  Outlook and Research Datasets for User Authentication
Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication
A. Acien
Aythami Morales
R. Vera-Rodríguez
Julian Fierrez
61
36
0
01 Jun 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations
  with Discrimination-Aware Deep Learning
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
Ignacio Serna
Aythami Morales
Julian Fierrez
Manuel Cebrian
Nick Obradovich
Iyad Rahwan
FaML
CVBM
56
75
0
22 Apr 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
50
57
0
15 Apr 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
P. Drozdowski
Christian Rathgeb
A. Dantcheva
N. Damer
C. Busch
FaML
160
206
0
05 Mar 2020
Face Recognition: Too Bias, or Not Too Bias?
Face Recognition: Too Bias, or Not Too Bias?
Joseph P. Robinson
Gennady Livitz
Yann Henon
Can Qin
Y. Fu
Samson Timoner
CVBM
69
126
0
16 Feb 2020
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Yunfeng Zhang
Rachel K. E. Bellamy
Kush R. Varshney
42
38
0
05 Feb 2020
BeCAPTCHA: Detecting Human Behavior in Smartphone Interaction using
  Multiple Inbuilt Sensors
BeCAPTCHA: Detecting Human Behavior in Smartphone Interaction using Multiple Inbuilt Sensors
A. Acien
Aythami Morales
Julian Fierrez
R. Vera-Rodríguez
I. Bartolome
42
22
0
03 Feb 2020
edBB: Biometrics and Behavior for Assessing Remote Education
edBB: Biometrics and Behavior for Assessing Remote Education
J. Hernandez-Ortega
Roberto Daza
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
39
33
0
10 Dec 2019
Algorithmic Discrimination: Formulation and Exploration in Deep
  Learning-based Face Biometrics
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics
Ignacio Serna
Aythami Morales
Julian Fierrez
Manuel Cebrian
Nick Obradovich
Iyad Rahwan
FaML
OOD
CVBM
43
41
0
04 Dec 2019
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement
  Learning
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
Mei Wang
Weihong Deng
CVBM
92
232
0
25 Nov 2019
What does it mean to solve the problem of discrimination in hiring?
  Social, technical and legal perspectives from the UK on automated hiring
  systems
What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems
Javier Sánchez-Monedero
L. Dencik
L. Edwards
66
135
0
28 Sep 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan
Solon Barocas
Jon M. Kleinberg
K. Levy
MLAU
FaML
72
523
0
21 Jun 2019
What's in a Name? Reducing Bias in Bios without Access to Protected
  Attributes
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov
Maria De-Arteaga
Hanna M. Wallach
J. Chayes
C. Borgs
Alexandra Chouldechova
S. Geyik
K. Kenthapadi
Anna Rumshisky
Adam Tauman Kalai
57
80
0
10 Apr 2019
Deep Learning for Face Recognition: Pride or Prejudiced?
Deep Learning for Face Recognition: Pride or Prejudiced?
Shruti Nagpal
Maneet Singh
Richa Singh
Mayank Vatsa
FaML
56
75
0
02 Apr 2019
SensitiveNets: Learning Agnostic Representations with Application to
  Face Images
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Aythami Morales
Julian Fierrez
R. Vera-Rodríguez
Ruben Tolosana
CVBM
45
40
0
01 Feb 2019
Diversity in Faces
Diversity in Faces
Michele Merler
Nalini Ratha
Rogerio Feris
John R. Smith
73
186
0
29 Jan 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a
  High-Stakes Setting
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga
Alexey Romanov
Hanna M. Wallach
J. Chayes
C. Borgs
Alexandra Chouldechova
S. Geyik
K. Kenthapadi
Adam Tauman Kalai
181
455
0
27 Jan 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim
Hyunwoo Kim
Kyungsu Kim
Sungjin Kim
Junmo Kim
OOD
57
409
0
26 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
100
2,668
0
29 Nov 2018
Sanity Checks for Saliency Maps
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAtt
AAML
XAI
127
1,966
0
08 Oct 2018
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep
  Neural Network Embeddings
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
Mohsan S. Alvi
Andrew Zisserman
C. Nellåker
FaML
115
248
0
06 Sep 2018
Right for the Right Reason: Training Agnostic Networks
Right for the Right Reason: Training Agnostic Networks
Sen Jia
Thomas Lansdall-Welfare
N. Cristianini
FaML
38
26
0
16 Jun 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
117
933
0
18 Apr 2018
Advances in Pre-Training Distributed Word Representations
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov
Edouard Grave
Piotr Bojanowski
Christian Puhrsch
Armand Joulin
AI4TS
VLM
141
1,243
0
26 Dec 2017
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Nikhil Garg
L. Schiebinger
Dan Jurafsky
James Zou
AI4TS
69
963
0
22 Nov 2017
One pixel attack for fooling deep neural networks
One pixel attack for fooling deep neural networks
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
117
2,323
0
24 Oct 2017
Interpreting CNN Knowledge via an Explanatory Graph
Interpreting CNN Knowledge via an Explanatory Graph
Quanshi Zhang
Ruiming Cao
Feng Shi
Ying Nian Wu
Song-Chun Zhu
FAtt
GNN
SSL
56
242
0
05 Aug 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using
  Corpus-level Constraints
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
FaML
90
970
0
29 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
282
2,264
0
24 Jun 2017
Multimodal Machine Learning: A Survey and Taxonomy
Multimodal Machine Learning: A Survey and Taxonomy
T. Baltrušaitis
Chaitanya Ahuja
Louis-Philippe Morency
91
2,928
0
26 May 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
203
2,885
0
14 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
421
3,211
0
30 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
294
20,003
0
07 Oct 2016
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
Yandong Guo
Lei Zhang
Yuxiao Hu
Xiaodong He
Jianfeng Gao
CVBM
163
1,961
0
27 Jul 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
107
3,135
0
21 Jul 2016
The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
81
5
0
30 May 2016
Generating Visual Explanations
Generating Visual Explanations
Lisa Anne Hendricks
Zeynep Akata
Marcus Rohrbach
Jeff Donahue
Bernt Schiele
Trevor Darrell
VLM
FAtt
81
619
0
28 Mar 2016
Multifaceted Feature Visualization: Uncovering the Different Types of
  Features Learned By Each Neuron in Deep Neural Networks
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
54
329
0
11 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Understanding Neural Networks Through Deep Visualization
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAtt
AI4CE
122
1,872
0
22 Jun 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
369
9,486
0
28 May 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
370
13,143
0
12 Mar 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
248
4,667
0
21 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
158
3,271
0
05 Dec 2014
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