Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

23 May 2024

Papers citing "Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization"

40 / 40 papers shown

Title
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 352 0 0 31 Mar 2025
Learning to Forget using Hypernetworks Jose Miguel Lara Rangel Stefan Schoepf Jack Foster David M. Krueger Usman Anwar MU 112 1 0 01 Dec 2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation Yuan Yuan Chenyang Shao Jingtao Ding Depeng Jin Yong Li AI4TS AI4CE 75 19 0 19 Feb 2024
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation Zihao Tang Zheqi Lv Shengyu Zhang Fei Wu Kun Kuang 71 8 0 18 Feb 2024
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion Zexi Li Zhiqi Li Jie Lin Tao Shen Tao Lin Chao Wu 94 5 0 02 Feb 2024
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Yuanchun Li Hao Wen Weijun Wang Xiangyu Li Yizhen Yuan ... Zhijun Li Peng Li Yang Liu Yaqiong Zhang Yunxin Liu LLMAG 41 173 0 10 Jan 2024
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning Lingzhi Gao Zexi Li Yang Lu Chao Wu 62 7 0 30 Nov 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 197 11,484 0 18 Jul 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 50 4,015 1 10 Feb 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 60 2,182 0 19 Dec 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 57 60 0 17 Nov 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data Uriel Singer Adam Polyak Thomas Hayes Xiaoyue Yin Jie An ... Oron Ashual Oran Gafni Devi Parikh Sonal Gupta Yaniv Taigman DiffM VGen 64 1,373 0 29 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 114 67 0 26 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 268 326 0 11 Sep 2022
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 231 5,904 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 274 6,768 0 13 Apr 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching Zexi Li Jiaxun Lu Shuang Luo Didi Zhu Yunfeng Shao Yinchuan Li Zhimeng Zhang Yongheng Wang Chao-Xiang Wu FedML 55 38 0 23 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 106 30,021 0 01 Mar 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 51 68 0 11 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 231 15,081 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 222 3,531 0 20 Dec 2021
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 297 355 0 21 Oct 2021
bert2BERT: Towards Reusable Pretrained Language Models Cheng Chen Yichun Yin Lifeng Shang Xin Jiang Yujia Qin Fengyu Wang Zhi Wang Xiao Chen Zhiyuan Liu Qun Liu VLM 37 60 0 14 Oct 2021
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks R. Entezari Hanie Sedghi O. Saukh Behnam Neyshabur MoMe 46 225 0 12 Oct 2021
Knowledge Inheritance for Pre-trained Language Models Yujia Qin Yankai Lin Jing Yi Jiajie Zhang Xu Han ... Yusheng Su Zhiyuan Liu Peng Li Maosong Sun Jie Zhou VLM 47 50 0 28 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 121 7,639 0 11 May 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 91 328 0 08 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 602 28,659 0 26 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 149 3,599 0 18 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 383 3,778 0 11 Feb 2021
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 90 7,166 0 06 Oct 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 39 846 0 07 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 440 41,106 0 28 May 2020
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 83 5,105 0 14 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 856 93,936 0 11 Oct 2018
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 100 1,603 0 27 Sep 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 74 2,000 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 274 7,286 0 13 Jun 2016
Net2Net: Accelerating Learning via Knowledge Transfer Tianqi Chen Ian Goodfellow Jonathon Shlens 80 663 0 18 Nov 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 173 6,780 0 12 Mar 2015