On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization

29 May 2024

Jordi Armengol-Estapé

Samira Ebrahimi Kahou

ArXiv PDF HTML

Papers citing "On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization"

24 / 24 papers shown

Title
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision David Picard 3DV VLM 62 92 0 16 Sep 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle Sebastian Borgeaud Jean-Baptiste Alayrac Carl Doersch Catalin Ionescu ... Olivier J. Hénaff M. Botvinick Andrew Zisserman Oriol Vinyals João Carreira MLLM VLM GNN 70 579 0 30 Jul 2021
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 77 392 0 23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 499 42,449 0 03 Dec 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 91 218 0 30 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 67 182 0 05 Oct 2019
Torchmeta: A Meta-Learning library for PyTorch T. Deleu Tobias Würfl Mandana Samiei Joseph Paul Cohen Yoshua Bengio OffRL 74 85 0 14 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,226 0 27 Aug 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 132 272 0 19 Feb 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 127 666 0 10 Dec 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 88 930 0 21 May 2018
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 64 3,228 0 22 Mar 2018
Modulating early visual processing by language H. D. Vries Florian Strub Jérémie Mary Hugo Larochelle Olivier Pietquin Aaron Courville 115 489 0 02 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 149 2,828 0 15 Jun 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 455 2,516 0 08 Jun 2017
Exploring the structure of a real-time, arbitrary neural artistic stylization network Golnaz Ghiasi Honglak Lee M. Kudlur Vincent Dumoulin Jonathon Shlens 76 291 0 18 May 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang Serge J. Belongie OOD 179 4,364 0 20 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 300 8,134 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
When is multitask learning effective? Semantic sequence prediction under varying data conditions Héctor Martínez Alonso Barbara Plank 65 163 0 07 Dec 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 68 471 0 16 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,323 0 13 Jun 2016
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 199 842 0 17 May 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015