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On the Challenges and Opportunities in Generative AI
v1v2v3 (latest)

On the Challenges and Opportunities in Generative AI

28 February 2024
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
Sophie Fellenz
Asja Fischer
Thomas Gartner
Matthias Kirchler
Marius Kloft
Yingzhen Li
Christoph Lippert
Gerard de Melo
Eric T. Nalisnick
Eric Nalisnick
Rajesh Ranganath
Maja R. Rudolph
Karen Ullrich
Guy Van den Broeck
Julia E. Vogt
Yixin Wang
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
ArXiv (abs)PDFHTML

Papers citing "On the Challenges and Opportunities in Generative AI"

50 / 305 papers shown
Title
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
301
5,815
0
03 Dec 2019
Approximating Human Judgment of Generated Image Quality
Approximating Human Judgment of Generated Image Quality
Y. A. Kolchinski
Sharon Zhou
Shengjia Zhao
Mitchell L. Gordon
Stefano Ermon
EGVM
24
4
0
30 Nov 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction
  to Concepts and Methods
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PERUD
244
1,415
0
21 Oct 2019
Root Mean Square Layer Normalization
Root Mean Square Layer Normalization
Biao Zhang
Rico Sennrich
91
740
0
16 Oct 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
466
1,734
0
18 Sep 2019
Interactive Fiction Games: A Colossal Adventure
Interactive Fiction Games: A Colossal Adventure
Matthew J. Hausknecht
Prithviraj Ammanabrolu
Marc-Alexandre Côté
Xingdi Yuan
LLMAGLM&RoAI4CE
60
197
0
11 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
76
465
0
09 Sep 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace
Shi Feng
Nikhil Kandpal
Matt Gardner
Sameer Singh
AAMLSILM
114
866
0
20 Aug 2019
Attention is not not Explanation
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAIAAMLFAtt
120
913
0
13 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for
  Vision-and-Language Tasks
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu
Dhruv Batra
Devi Parikh
Stefan Lee
SSLVLM
231
3,684
0
06 Aug 2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBMGAN
117
1,121
0
25 Jul 2019
Probing Neural Network Comprehension of Natural Language Arguments
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven
Hung-Yu kao
AAML
88
454
0
17 Jul 2019
GP-VAE: Deep Probabilistic Time Series Imputation
GP-VAE: Deep Probabilistic Time Series Imputation
Vincent Fortuin
Dmitry Baranchuk
Gunnar Rätsch
Stephan Mandt
BDLAI4TS
59
253
0
09 Jul 2019
Is Attention Interpretable?
Is Attention Interpretable?
Sofia Serrano
Noah A. Smith
108
684
0
09 Jun 2019
Analyzing the Structure of Attention in a Transformer Language Model
Analyzing the Structure of Attention in a Transformer Language Model
Jesse Vig
Yonatan Belinkov
66
368
0
07 Jun 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSLAI4CE
116
1,404
0
29 May 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
91
1,838
0
06 May 2019
Jointly Measuring Diversity and Quality in Text Generation Models
Jointly Measuring Diversity and Quality in Text Generation Models
Ehsan Montahaei
Danial Alihosseini
M. Baghshah
61
77
0
08 Apr 2019
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative
  Models
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou
Mitchell L. Gordon
Ranjay Krishna
Austin Narcomey
Li Fei-Fei
Michael S. Bernstein
VLMEGVM
35
122
0
01 Apr 2019
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases
  in Word Embeddings But do not Remove Them
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
Hila Gonen
Yoav Goldberg
103
571
0
09 Mar 2019
Attention is not Explanation
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
145
1,327
0
26 Feb 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
134
1,239
0
04 Feb 2019
Uncertainty Quantification in Deep MRI Reconstruction
Uncertainty Quantification in Deep MRI Reconstruction
Vineet Edupuganti
Morteza Mardani
S. Vasanawala
John M. Pauly
UQCV
61
95
0
31 Jan 2019
Bias and Generalization in Deep Generative Models: An Empirical Study
Bias and Generalization in Deep Generative Models: An Empirical Study
Shengjia Zhao
Hongyu Ren
Arianna Yuan
Jiaming Song
Noah D. Goodman
Stefano Ermon
AI4CE
47
137
0
08 Nov 2018
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
191
218
0
06 Nov 2018
Ordered Neurons: Integrating Tree Structures into Recurrent Neural
  Networks
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Songlin Yang
Shawn Tan
Alessandro Sordoni
Aaron Courville
122
324
0
22 Oct 2018
Minimal Random Code Learning: Getting Bits Back from Compressed Model
  Parameters
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
Marton Havasi
Robert Peharz
José Miguel Hernández-Lobato
66
82
0
30 Sep 2018
Automated Data Slicing for Model Validation:A Big data - AI Integration
  Approach
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach
Yeounoh Chung
Tim Kraska
N. Polyzotis
Ki Hyun Tae
Steven Euijong Whang
92
131
0
16 Jul 2018
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
141
1,016
0
21 Jun 2018
On Accurate Evaluation of GANs for Language Generation
On Accurate Evaluation of GANs for Language Generation
Stanislau Semeniuta
Aliaksei Severyn
Sylvain Gelly
EGVM
53
81
0
13 Jun 2018
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin
Matthias Huser
Francesco Locatello
Heiko Strathmann
Gunnar Rätsch
BDLAI4TS
52
139
0
06 Jun 2018
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
78
577
0
31 May 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
150
1,176
0
06 Mar 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UDBDLEDLUQCVPER
191
920
0
28 Feb 2018
Manipulating and Measuring Model Interpretability
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh
D. Goldstein
Jake M. Hofman
Jennifer Wortman Vaughan
Hanna M. Wallach
91
698
0
21 Feb 2018
Texygen: A Benchmarking Platform for Text Generation Models
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu
Sidi Lu
Lei Zheng
Jiaxian Guo
Weinan Zhang
Jun Wang
Yong Yu
100
689
0
06 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
115
2,354
0
01 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
280
9,764
0
25 Oct 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,833
0
14 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
713
131,652
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,939
0
22 May 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
188
5,989
0
04 Mar 2017
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
121
1,247
0
19 Aug 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
483
9,052
0
10 Jun 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRLGAN
96
1,140
0
08 Feb 2016
Learning to Compose Neural Networks for Question Answering
Learning to Compose Neural Networks for Question Answering
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
NAIKELMBDLCoGe
99
568
0
07 Jan 2016
Sequence Level Training with Recurrent Neural Networks
Sequence Level Training with Recurrent Neural Networks
MarcÁurelio Ranzato
S. Chopra
Michael Auli
Wojciech Zaremba
102
1,615
0
20 Nov 2015
Neural Module Networks
Neural Module Networks
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
CoGe
139
1,073
0
09 Nov 2015
A note on the evaluation of generative models
A note on the evaluation of generative models
Lucas Theis
Aaron van den Oord
Matthias Bethge
EGVM
131
1,145
0
05 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
99
2,242
0
18 Jun 2015
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