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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
Teaching Models to Express Their Uncertainty in Words
Teaching Models to Express Their Uncertainty in Words
Stephanie C. Lin
Jacob Hilton
Owain Evans
OOD
83
417
0
28 May 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
235
825
0
27 May 2022
FlashAttention: Fast and Memory-Efficient Exact Attention with
  IO-Awareness
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao
Daniel Y. Fu
Stefano Ermon
Atri Rudra
Christopher Ré
VLM
235
2,233
0
27 May 2022
Gradient-Based Constrained Sampling from Language Models
Gradient-Based Constrained Sampling from Language Models
Sachin Kumar
Biswajit Paria
Yulia Tsvetkov
BDL
93
55
0
25 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
437
6,023
0
23 May 2022
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman T. Liang
Liam Hodgkinson
Michael W. Mahoney
56
11
0
16 May 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&RoLLMAGAI4CE
208
823
0
12 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLMOSLMAI4CE
336
3,667
0
02 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang
Yongxin Chen
DiffM
63
433
0
29 Apr 2022
Re-Examining System-Level Correlations of Automatic Summarization
  Evaluation Metrics
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics
Daniel Deutsch
Rotem Dror
Dan Roth
49
45
0
21 Apr 2022
Impact of Tokenization on Language Models: An Analysis for Turkish
Impact of Tokenization on Language Models: An Analysis for Turkish
Cagri Toraman
E. Yilmaz
Furkan Şahinuç
Oguzhan Ozcelik
82
81
0
19 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
407
6,866
0
13 Apr 2022
Video Diffusion Models
Video Diffusion Models
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffMVGen
204
1,626
0
07 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILMLRM
500
6,279
0
05 Apr 2022
Diffusion Probabilistic Modeling for Video Generation
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffMVGen
128
266
0
16 Mar 2022
The Role of ImageNet Classes in Fréchet Inception Distance
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkaanniemi
Tero Karras
M. Aittala
Timo Aila
J. Lehtinen
EGVMVLM
110
207
0
11 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLMALM
880
12,973
0
04 Mar 2022
Learning Group Importance using the Differentiable Hypergeometric
  Distribution
Learning Group Importance using the Differentiable Hypergeometric Distribution
Thomas M. Sutter
Laura Manduchi
Alain Ryser
Julia E. Vogt
70
7
0
03 Mar 2022
Diffusion Causal Models for Counterfactual Estimation
Diffusion Causal Models for Counterfactual Estimation
Pedro Sanchez
Sotirios A. Tsaftaris
DiffMBDL
83
74
0
21 Feb 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu
Yi Ren
Zhijie Lin
Zhou Zhao
DiffM
97
647
0
20 Feb 2022
An Introduction to Neural Data Compression
An Introduction to Neural Data Compression
Yibo Yang
Stephan Mandt
Lucas Theis
86
123
0
14 Feb 2022
Competition-Level Code Generation with AlphaCode
Competition-Level Code Generation with AlphaCode
Yujia Li
David Choi
Junyoung Chung
Nate Kushman
Julian Schrittwieser
...
Esme Sutherland Robson
Pushmeet Kohli
Nando de
Koray Kavukcuoglu
Oriol Vinyals
143
1,403
0
08 Feb 2022
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using
  Diffusion Models
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models
Guanxiong Luo
Moritz Blumenthal
Martin Heide
M. Uecker
DiffMMedIm
64
70
0
03 Feb 2022
Rethinking Attention-Model Explainability through Faithfulness Violation
  Test
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Yebin Liu
Haoliang Li
Yangyang Guo
Chen Kong
Jing Li
Shiqi Wang
FAtt
147
43
0
28 Jan 2022
Synchromesh: Reliable code generation from pre-trained language models
Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia
Oleksandr Polozov
Vu Le
A. Tiwari
Gustavo Soares
Christopher Meek
Sumit Gulwani
64
161
0
26 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
72
118
0
02 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
460
15,665
0
20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
98
555
0
15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin
  Diffusion
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
86
235
0
14 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric
  AI Perspective
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang
Yuji Roh
Hwanjun Song
Jae-Gil Lee
70
339
0
13 Dec 2021
Scaling Language Models: Methods, Analysis & Insights from Training
  Gopher
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae
Sebastian Borgeaud
Trevor Cai
Katie Millican
Jordan Hoffmann
...
Jeff Stanway
L. Bennett
Demis Hassabis
Koray Kavukcuoglu
G. Irving
130
1,313
0
08 Dec 2021
Ethical and social risks of harm from Language Models
Ethical and social risks of harm from Language Models
Laura Weidinger
John F. J. Mellor
Maribeth Rauh
Conor Griffin
J. Uesato
...
Lisa Anne Hendricks
William S. Isaac
Sean Legassick
G. Irving
Iason Gabriel
PILM
114
1,041
0
08 Dec 2021
Projected GANs Converge Faster
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
95
234
0
01 Nov 2021
Efficiently Modeling Long Sequences with Structured State Spaces
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu
Karan Goel
Christopher Ré
215
1,783
0
31 Oct 2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
...
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
119
405
0
30 Oct 2021
Resampling Base Distributions of Normalizing Flows
Resampling Base Distributions of Normalizing Flows
Vincent Stimper
Bernhard Schölkopf
José Miguel Hernández-Lobato
BDL
66
33
0
29 Oct 2021
Explaining Latent Representations with a Corpus of Examples
Explaining Latent Representations with a Corpus of Examples
Jonathan Crabbé
Zhaozhi Qian
F. Imrie
M. Schaar
FAtt
54
38
0
28 Oct 2021
Robustness Challenges in Model Distillation and Pruning for Natural
  Language Understanding
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Mengnan Du
Subhabrata Mukherjee
Yu Cheng
Milad Shokouhi
Xia Hu
Ahmed Hassan Awadallah
92
13
0
16 Oct 2021
On the Limitations of Multimodal VAEs
On the Limitations of Multimodal VAEs
Imant Daunhawer
Thomas M. Sutter
Kieran Chin-Cheong
Emanuele Palumbo
Julia E. Vogt
123
28
0
08 Oct 2021
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of
  Neural Text Generation
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Adaku Uchendu
Zeyu Ma
Thai Le
Rui Zhang
Dongwon Lee
DeLMO
100
127
0
27 Sep 2021
Desiderata for Representation Learning: A Causal Perspective
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Michael I. Jordan
CML
58
84
0
08 Sep 2021
Robustness and Generalization via Generative Adversarial Training
Robustness and Generalization via Generative Adversarial Training
Omid Poursaeed
Tianxing Jiang
Harry Yang
Serge Belongie
SerNam Lim
OODAAML
64
26
0
06 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
109
371
0
02 Sep 2021
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make
  Student Better
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better
Bojia Zi
Shihao Zhao
Xingjun Ma
Yu-Gang Jiang
AAML
52
101
0
18 Aug 2021
Robust Transfer Learning with Pretrained Language Models through
  Adapters
Robust Transfer Learning with Pretrained Language Models through Adapters
Wenjuan Han
Bo Pang
Ying Nian Wu
53
56
0
05 Aug 2021
Controlled Text Generation as Continuous Optimization with Multiple
  Constraints
Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar
Eric Malmi
Aliaksei Severyn
Yulia Tsvetkov
BDLAI4CE
84
78
0
04 Aug 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep
  Neural Networks
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
T. Dash
Sharad Chitlangia
Aditya Ahuja
A. Srinivasan
63
131
0
21 Jul 2021
Epistemic Neural Networks
Epistemic Neural Networks
Ian Osband
Zheng Wen
M. Asghari
Vikranth Dwaracherla
M. Ibrahimi
Xiyuan Lu
Benjamin Van Roy
UQCVBDL
72
107
0
19 Jul 2021
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELMALM
233
5,539
0
07 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDLUQCVOOD
229
1,150
0
07 Jul 2021
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