HyperTransformer: Model Generation for Supervised and Semi-Supervised
Few-Shot Learning

HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning

11 January 2022

Papers citing "HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning"

17 / 17 papers shown

Title
On Understanding Attention-Based In-Context Learning for Categorical Data Aaron T. Wang William Convertino Xiang Cheng Ricardo Henao Lawrence Carin 58 0 0 27 May 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization Zexi Li Lingzhi Gao Chao Wu AI4CE DiffM 55 3 0 23 May 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 27 2 0 21 May 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 46 15 0 22 Feb 2024
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 40 42 0 31 Jul 2023
Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs Elias Najarro Shyam Sudhakaran S. Risi 28 15 0 17 Jul 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li T. Qian Yi Song Zeyu Zhang Jiawei Li Zhuang Chen Lixin Zou 65 1 0 03 May 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 32 13 0 15 Mar 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 29 17 0 07 Mar 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 34 72 0 08 Dec 2022
Multi-Object Navigation with dynamically learned neural implicit representations Pierre Marza L. Matignon Olivier Simonin Christian Wolf 27 23 0 11 Oct 2022
HyperNCA: Growing Developmental Networks with Neural Cellular Automata Elias Najarro Shyam Sudhakaran Claire Glanois S. Risi 24 12 0 25 Apr 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer Beatrice Acciaio Anastasis Kratsios G. Pammer OOD 49 20 0 31 Jan 2022
Learning to Generate Task-Specific Adapters from Task Description Qinyuan Ye Xiang Ren 112 29 0 02 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017