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1902.03477
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The Omniglot challenge: a 3-year progress report
Current Opinion in Behavioral Sciences (Curr Opin Behav Sci), 2019
9 February 2019
Brenden M. Lake
Ruslan Salakhutdinov
J. Tenenbaum
VLM
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Papers citing
"The Omniglot challenge: a 3-year progress report"
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Abstracted Gaussian Prototypes for True One-Shot Concept Learning
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Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
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10 Jun 2024
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Sambhavi Tiwari
Shekhar Verma
316
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20 May 2024
On-device Online Learning and Semantic Management of TinyML Systems
ACM Transactions on Embedded Computing Systems (TECS), 2024
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13 May 2024
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA
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Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging
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Learning to Infer Generative Template Programs for Visual Concepts
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Daniel E. Ritchie
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15 Mar 2024
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139
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Anchor function: a type of benchmark functions for studying language models
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Zhiwei Wang
Junjie Yao
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380
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16 Jan 2024
Hacking Task Confounder in Meta-Learning
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Wenwen Qiang
Yi Ren
Changwen Zheng
Xingzhe Su
Changwen Zheng
Jingyao Wang
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652
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10 Dec 2023
The mechanistic basis of data dependence and abrupt learning in an in-context classification task
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550
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03 Dec 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
Neural Information Processing Systems (NeurIPS), 2023
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Young-Uk Jin
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Frank C. Park
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Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
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Nan Jiang
Taylor Berg-Kirkpatrick
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12 Oct 2023
ViewMix: Augmentation for Robust Representation in Self-Supervised Learning
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A. Das
Agnibh Dasgupta
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215
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06 Sep 2023
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Changwen Zheng
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Changwen Zheng
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261
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28 Aug 2023
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Xingzhe Su
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18 Jul 2023
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Erdun Gao
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Tongliang Liu
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09 Jun 2023
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP
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Saeed Reza Kheradpisheh
M. Ganjtabesh
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277
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07 Jun 2023
MEWL: Few-shot multimodal word learning with referential uncertainty
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Guangyuan Jiang
Manjie Xu
Shiji Xin
Weihan Liang
Yujia Peng
Fangqiu Yi
Yixin Zhu
OffRL
354
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01 Jun 2023
Compositional diversity in visual concept learning
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Yanli Zhou
Reuben Feinman
Brenden M. Lake
CoGe
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317
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30 May 2023
Neurosymbolic Models for Computer Graphics
Daniel E. Ritchie
Paul Guerrero
R. K. Jones
Niloy J. Mitra
Adriana Schulz
Karl D. D. Willis
Jiajun Wu
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255
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20 Apr 2023
TinyReptile: TinyML with Federated Meta-Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Haoyu Ren
Darko Anicic
Thomas Runkler
399
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11 Apr 2023
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Davor Andrić
V. Nikolić
149
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26 Mar 2023
Computing with Categories in Machine Learning
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Eli Sennesh
T. Xu
Yoshihiro Maruyama
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07 Mar 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
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Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
392
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Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
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Victor Boutin
Thomas Fel
Lakshya Singhal
Rishav Mukherji
Akash Nagaraj
Julien Colin
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350
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265
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Offline Handwritten Amharic Character Recognition Using Few-shot Learning
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Lars Schmidt-Thieme
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Abiot Sinamo Boltena
Abey Bruck
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295
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01 Oct 2022
Interactive Visual Reasoning under Uncertainty
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Manjie Xu
Guangyuan Jiang
Wei Liang
Song-Chun Zhu
Yixin Zhu
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331
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18 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models
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Yi-Chuan Liang
J. Tenenbaum
T. Le
N. Siddharth
317
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03 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
476
651
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13 May 2022
A Probabilistic Generative Model of Free Categories
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T. Xu
Y. Maruyama
312
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09 May 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Neural Information Processing Systems (NeurIPS), 2022
Stephanie C. Y. Chan
Adam Santoro
Andrew Kyle Lampinen
Jane X. Wang
Aaditya K. Singh
Pierre Harvey Richemond
J. Mcclelland
Felix Hill
1.1K
354
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22 Apr 2022
Learning Rules from Rewards
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L. Doumas
286
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Learning from One and Only One Shot
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Igor Mineyev
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349
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Distributed Evolution Strategies Using TPUs for Meta-Learning
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165
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Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
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Roman Bachmann
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417
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375
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Henry Kvinge
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