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2003.12694
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Countering Language Drift with Seeded Iterated Learning
International Conference on Machine Learning (ICML), 2020
28 March 2020
Yuchen Lu
Soumye Singhal
Florian Strub
Olivier Pietquin
Aaron Courville
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HuggingFace (1 upvotes)
Papers citing
"Countering Language Drift with Seeded Iterated Learning"
50 / 55 papers shown
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412
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382
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03 Apr 2025
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Shwetha Ram
T. Neiman
Qianli Feng
Andrew Stuart
S. D. Tran
Trishul Chilimbi
365
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28 Nov 2024
A Review of the Applications of Deep Learning-Based Emergent Communication
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289
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03 Jul 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies
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Johan Ferret
Nino Vieillard
Robert Dadashi
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Pier Giuseppe Sessa
Sertan Girgin
Arthur Douillard
Olivier Bachem
398
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24 Jun 2024
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
Jian-Qiao Zhu
Thomas Griffiths
BDL
293
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04 Jun 2024
An iterated learning model of language change that mixes supervised and unsupervised learning
Jack Bunyan
Seth Bullock
Conor J. Houghton
187
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31 May 2024
"Forgetting" in Machine Learning and Beyond: A Survey
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Bernardo Pereira Nunes
Armin Haller
MU
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345
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31 May 2024
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
Massimo Bini
Karsten Roth
Zeynep Akata
Anna Khoreva
206
10
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30 May 2024
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
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Yufei Wang
Satoshi Tsutsui
Weisi Lin
Bihan Wen
Alex C. Kot
334
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20 May 2024
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Florian Strub
Rahma Chaabouni
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Olivier Pietquin
289
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30 Apr 2024
U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
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Kean Liu
Xiaoyue Mi
Fan Tang
Juan Cao
Jintao Li
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250
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29 Mar 2024
Attention Calibration for Disentangled Text-to-Image Personalization
Yanbing Zhang
Mengping Yang
Qin Zhou
Zhe Wang
418
35
0
27 Mar 2024
Language Evolution with Deep Learning
Mathieu Rita
Paul Michel
Rahma Chaabouni
Olivier Pietquin
Emmanuel Dupoux
Florian Strub
301
4
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ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image
Yan Hong
Jianfu Zhang
DiffM
389
4
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19 Feb 2024
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization
Jisu Nam
Heesu Kim
Dongjae Lee
Siyoon Jin
Seungryong Kim
Seunggyu Chang
DiffM
396
69
0
15 Feb 2024
WARM: On the Benefits of Weight Averaged Reward Models
International Conference on Machine Learning (ICML), 2024
Alexandre Ramé
Nino Vieillard
Léonard Hussenot
Robert Dadashi
Geoffrey Cideron
Olivier Bachem
Johan Ferret
467
140
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22 Jan 2024
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
International Conference on Learning Representations (ICLR), 2024
Shangmin Guo
Yi Ren
Stefano V.Albrecht
Kenny Smith
232
7
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16 Jan 2024
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models
Seunghoo Hong
Juhun Lee
Simon S. Woo
331
32
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20 Dec 2023
Language Model Alignment with Elastic Reset
Michael Noukhovitch
Samuel Lavoie
Florian Strub
Aaron Courville
KELM
358
40
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06 Dec 2023
Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Hai Wang
Xiaoyu Xiang
Yuchen Fan
Jing-Hao Xue
464
49
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28 Oct 2023
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings
Neural Information Processing Systems (NeurIPS), 2023
Yi Ren
Samuel Lavoie
Mikhail Galkin
Danica J. Sutherland
Aaron Courville
226
21
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28 Oct 2023
A General Theoretical Paradigm to Understand Learning from Human Preferences
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
M. G. Azar
Mark Rowland
Bilal Piot
Daniel Guo
Daniele Calandriello
Michal Valko
Rémi Munos
751
926
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18 Oct 2023
ITI-GEN: Inclusive Text-to-Image Generation
IEEE International Conference on Computer Vision (ICCV), 2023
Cheng Zhang
Xuanbai Chen
Siqi Chai
Chen Henry Wu
Dmitry Lagun
Thabo Beeler
Fernando de la Torre
VLM
330
86
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11 Sep 2023
Reinforced Self-Training (ReST) for Language Modeling
Çağlar Gülçehre
T. Paine
S. Srinivasan
Ksenia Konyushkova
L. Weerts
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Chenjie Gu
Wolfgang Macherey
Arnaud Doucet
Orhan Firat
Nando de Freitas
OffRL
511
413
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17 Aug 2023
Towards More Human-like AI Communication: A Review of Emergent Communication Research
IEEE Access (IEEE Access), 2023
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277
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01 Aug 2023
My3DGen: A Scalable Personalized 3D Generative Model
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Luchao Qi
Jiaye Wu
Annie N. Wang
Sheng-Yu Wang
Roni Sengupta
3DH
547
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11 Jul 2023
Generate Anything Anywhere in Any Scene
Yuheng Li
Haotian Liu
Yangming Wen
Yong Jae Lee
DiffM
296
19
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The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models
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300
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ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation
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280
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AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
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Mohit Mendiratta
Xingang Pan
Mohamed A. Elgharib
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Adam Kortylewski
Christian Theobalt
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251
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A Recipe for Watermarking Diffusion Models
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Tianyu Pang
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438
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Cones: Concept Neurons in Diffusion Models for Customized Generation
International Conference on Machine Learning (ICML), 2023
Zhiheng Liu
Ruili Feng
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Kecheng Zheng
Yu Liu
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Yang Cao
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426
162
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Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off
Transactions of the Association for Computational Linguistics (TACL), 2023
Yuchen Lian
Arianna Bisazza
Tessa Verhoef
364
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30 Jan 2023
Multi-Concept Customization of Text-to-Image Diffusion
Computer Vision and Pattern Recognition (CVPR), 2022
Nupur Kumari
Bin Zhang
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920
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SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2022
Zhixing Zhang
Ligong Han
Arna Ghosh
Dimitris N. Metaxas
Jian Ren
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DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Computer Vision and Pattern Recognition (CVPR), 2022
Nataniel Ruiz
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Varun Jampani
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Fortuitous Forgetting in Connectionist Networks
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Multitasking Inhibits Semantic Drift
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