MotherNet: Fast Training and Inference via Hyper-Network Transformers

MotherNet: Fast Training and Inference via Hyper-Network Transformers

14 December 2023

Andreas Müller

Raghu Ramakrishnan

Papers citing "MotherNet: Fast Training and Inference via Hyper-Network Transformers"

9 / 9 papers shown

Title
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting Gyanendra Shrestha Chutain Jiang Sai Akula Vivek Yannam Anna Pyayt Michael Gubanov LMTD 89 0 0 20 Feb 2025
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks Michael Arbel David Salinas Frank Hutter 57 2 0 10 Feb 2025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Jingang Qu David Holzmüller Gaël Varoquaux Marine Le Morvan LMTD 78 4 0 08 Feb 2025
GAMformer: In-Context Learning for Generalized Additive Models Andreas Mueller Julien N. Siems Harsha Nori David Salinas Arber Zela Rich Caruana Frank Hutter AI4CE 31 3 0 06 Oct 2024
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications Ricardo Knauer Marvin Grimm Erik Rodner LMTD 36 2 0 03 Sep 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 26 4 0 02 Jul 2024
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting Andrei Margeloiu A. Bazaga Nikola Simidjievski Pietro Lió M. Jamnik LMTD 33 5 0 03 Jun 2024
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications Ricardo Knauer Erik Rodner LMTD 19 3 0 13 May 2024
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017