Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2403.00025
Cited By
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
Re-assign community
ArXiv
PDF
HTML
Papers citing
"On the Challenges and Opportunities in Generative AI"
27 / 27 papers shown
Title
Position: Foundation Models Need Digital Twin Representations
Yiqing Shen
Hao Ding
Lalithkumar Seenivasan
Tianmin Shu
Mathias Unberath
AI4CE
17
0
0
01 May 2025
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
Thomas M. Sutter
Yang Meng
Andrea Agostini
Daphné Chopard
Norbert Fortin
Julia E. Vogt
Bahbak Shahbaba
Stephan Mandt
SSL
37
2
0
08 Jan 2025
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
Roi Cohen
Konstantin Dobler
Eden Biran
Gerard de Melo
72
3
0
09 Dec 2024
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
M. Nagda
Phil Ostheimer
Sophie Fellenz
18
0
0
22 Oct 2024
SetPINNs: Set-based Physics-informed Neural Networks
M. Nagda
Phil Ostheimer
Thomas Specht
Frank Rhein
F. Jirasek
Stephan Mandt
Sophie Fellenz
Sophie Fellenz
PINN
3DPC
26
0
0
30 Sep 2024
Replication in Visual Diffusion Models: A Survey and Outlook
Wenhao Wang
Yifan Sun
Zongxin Yang
Zhengdong Hu
Zhentao Tan
Yi Yang
43
5
0
07 Jul 2024
Generative Topological Networks
Alona Levy-Jurgenson
Z. Yakhini
24
0
0
21 Jun 2024
Fast Samplers for Inverse Problems in Iterative Refinement Models
Kushagra Pandey
Ruihan Yang
Stephan Mandt
DiffM
33
3
0
27 May 2024
Precipitation Downscaling with Spatiotemporal Video Diffusion
Prakhar Srivastava
Ruihan Yang
Gavin Kerrigan
Gideon Dresdner
Jeremy McGibbon
Christopher S. Bretherton
Stephan Mandt
DiffM
15
3
0
11 Dec 2023
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision
Junaid Ali
Matthäus Kleindessner
F. Wenzel
Kailash Budhathoki
V. Cevher
Chris Russell
VLM
54
10
0
18 Oct 2023
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
Chunyuan Li
Zhe Gan
Zhengyuan Yang
Jianwei Yang
Linjie Li
Lijuan Wang
Jianfeng Gao
MLLM
102
221
0
18 Sep 2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Tong Wu
Zhihao Fan
Xiao Liu
Yeyun Gong
Yelong Shen
...
Juntao Li
Zhongyu Wei
Jian Guo
Nan Duan
Weizhu Chen
VLM
63
22
0
16 May 2023
Incorporating Unlabelled Data into Bayesian Neural Networks
Mrinank Sharma
Tom Rainforth
Yee Whye Teh
Vincent Fortuin
SSL
UQCV
BDL
15
9
0
04 Apr 2023
MultiModal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision Language Models
Sepehr Janghorbani
Gerard de Melo
VLM
27
10
0
16 Mar 2023
A Complete Recipe for Diffusion Generative Models
Kushagra Pandey
Stephan Mandt
DiffM
27
8
0
03 Mar 2023
Learning to Play Text-based Adventure Games with Maximum Entropy Reinforcement Learning
Weichen Li
R. Devidze
Sophie Fellenz
28
3
0
21 Feb 2023
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
214
495
0
28 Sep 2022
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
163
537
0
27 May 2022
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
OSLM
ALM
301
8,441
0
04 Mar 2022
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Mengnan Du
Subhabrata Mukherjee
Yu Cheng
Milad Shokouhi
Xia Hu
Ahmed Hassan Awadallah
30
8
0
16 Oct 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
N. Jethani
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
54
54
0
02 Mar 2021
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
3,790
0
24 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
A. Ross
Nina Chen
Elisa Zhao Hang
Elena L. Glassman
Finale Doshi-Velez
87
49
0
02 Feb 2021
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
150
311
0
07 Feb 2020
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
273
1,151
0
18 Sep 2019
Language GANs Falling Short
Massimo Caccia
Lucas Page-Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
112
214
0
06 Nov 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
9,999
0
18 May 2015
1