'Less Than One'-Shot Learning: Learning N Classes From M<N Samples

17 September 2020

Papers citing "'Less Than One'-Shot Learning: Learning N Classes From M<N Samples"

18 / 18 papers shown

Title
On Benchmarking Human-Like Intelligence in Machines Lance Ying K. M. Collins L. Wong Ilia Sucholutsky Ryan Liu Adrian Weller Tianmin Shu Thomas L. Griffiths Joshua B. Tenenbaum ALM ELM 153 3 0 27 Feb 2025
Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling Steven Grosz Rui Zhao Rajeev Ranjan Hongcheng Wang Manoj Aggarwal Gérard Medioni Anil Jain VLM 29 0 0 20 Sep 2024
Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification Radu Rosu Mihaela Breaban H. Luchian DD 22 0 0 25 Mar 2024
Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels Ben Wu Yue Li Yida Mu Carolina Scarton Kalina Bontcheva Xingyi Song 20 10 0 09 Nov 2023
On Implicit Bias in Overparameterized Bilevel Optimization Paul Vicol Jon Lorraine Fabian Pedregosa David Duvenaud Roger C. Grosse AI4CE 33 37 0 28 Dec 2022
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation Laura Nicolás-Sáenz Agapito Ledezma J. Pascau A. Muñoz-Barrutia 17 0 0 15 Nov 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas L. Griffiths 27 12 0 02 Nov 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes Avyav Kumar Singh Ekaterina Shutova H. Yannakoudakis VLM 30 0 0 31 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 31 47 0 13 Oct 2022
One to Multiple Mapping Dual Learning: Learning Multiple Sources from One Mixed Signal TingXia Liu Wenwu Wang Xiaofei Zhang Zhenying Gong Yina Guo 46 1 0 13 Oct 2021
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems Neeraj Varshney Swaroop Mishra Chitta Baral 14 0 0 01 Jul 2021
Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations W. Olin-Ammentorp M. Bazhenov GNN 14 4 0 15 Jun 2021
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks W. Olin-Ammentorp M. Bazhenov 16 5 0 15 Jun 2021
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes Ilia Sucholutsky Nam-Hwui Kim R. Browne Matthias Schonlau VLM 13 6 0 15 Feb 2021
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience -- an initial exploration Daniel C. Elton 23 4 0 16 Dec 2020
Optimal 1-NN Prototypes for Pathological Geometries Ilia Sucholutsky Matthias Schonlau 14 4 0 31 Oct 2020
SecDD: Efficient and Secure Method for Remotely Training Neural Networks Ilia Sucholutsky Matthias Schonlau 14 15 0 19 Sep 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 16 109 0 15 Jun 2020