Fetching the paper…
Reading the bibliography…
The ability for a machine learning model to cope with differences in training and deployment conditions--e.g.
Signature verification using a” siamese” time delay neural network
Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah · 1993
Earlier work this paper cites.
Learning to learn: Introduction and overview
Sebastian Thrun and Lorien Pratt · 1998
Earlier work this paper cites.
Areas beneath the relative operating characteristics (roc) and relative operating levels (rol) curves: Statistical significance and interpretation
S. J. Mason and N. E. Graham · 2002
Earlier work this paper cites.
Retrieval evaluation with incomplete information
Chris Buckley and Ellen M. Voorhees · 2004
Earlier work this paper cites.
Learning a similarity metric discriminatively, with application to face verification
Sumit Chopra, Raia Hadsell, and Yann LeCun · 2005
Earlier work this paper cites.
The trec robust retrieval track
Ellen M. Voorhees · 2005
Earlier work this paper cites.
Semi-supervised learning (chapelle, o. et al., eds.; 2006)[book reviews]
Olivier Chapelle, Bernhard Scholkopf, and Alexander Zien · 2009
Earlier work this paper cites.
A survey on transfer learning
Sinno Jialin Pan and Qiang Yang · 2009
Earlier work this paper cites.
A unifying view on dataset shift in classification
Jose G Moreno-Torres, Troy Raeder, Rocío Alaiz-Rodríguez, Nitesh V Chawla, and Francisco Herrera · 2012
Earlier work this paper cites.
One-shot learning by inverting a compositional causal process
Brenden M Lake, Russ R Salakhutdinov, and Josh Tenenbaum · 2013
Earlier work this paper cites.
Bioacoustics for species management: two case studies with a hawaiian forest bird
Esther Sebastián-González, Joshua Pang-Ching, Jomar M Barbosa, and Patrick Hart · 2015
Earlier work this paper cites.
The xeno-canto collection and its relation to sound recognition and classification
Willem-Pier Vellinga and Robert Planqué · 2015
Earlier work this paper cites.
Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Daan Wierstra, et al · 2016
Earlier work this paper cites.
Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
Earlier work this paper cites.
Audio set: An ontology and human-labeled dataset for audio events
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter · 2017
Earlier work this paper cites.
Optimization as a model for few-shot learning
Sachin Ravi and Hugo Larochelle · 2017
Earlier work this paper cites.
Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard Zemel · 2017
Earlier work this paper cites.
Trainable frontend for robust and far-field keyword spotting
Yuxuan Wang, Pascal Getreuer, Thad Hughes, Richard F Lyon, and Rif A Saurous · 2017
Earlier work this paper cites.
mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2017
Earlier work this paper cites.
Some common mistakes in ir evaluation, and how they can be avoided
Norbert Fuhr · 2018
Cited alongside, same era.
Overview of BirdCLEF 2018: monospecies vs. soundscape bird identification
Hervé Goëau, Stefan Kahl, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, and Alexis Joly · 2018
Cited alongside, same era.
Deep visual domain adaptation: A survey
Mei Wang and Weihong Deng · 2018
Cited alongside, same era.
Mixmatch: A holistic approach to semi-supervised learning
David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, and Colin A Raffel · 2019
Cited alongside, same era.
A closer look at few-shot classification
Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, and Jia-Bin Huang · 2019
Cited alongside, same era.
Peterson field guide to bird sounds of western North America
Nathan Pieplow · 2019
Cited alongside, same era.
An annotated set of audio recordings of Eastern North American birds containing frequency, time, and species information
Lauren M. Chronister, Tessa A. Rhinehart, Aidan Place, and Justin Kitzes · 2022
Later among the works it cites.
Improving bird classification with unsupervised sound separation
Tom Denton, Scott Wisdom, and John R. Hershey · 2022
Later among the works it cites.
Self-supervised representation learning: Introduction, advances, and challenges
Linus Ericsson, Henry Gouk, Chen Change Loy, and Timothy M Hospedales · 2022
Later among the works it cites.
Head2toe: Utilizing intermediate representations for better transfer learning
Utku Evci, Vincent Dumoulin, Hugo Larochelle, and Michael C Mozer · 2022
Later among the works it cites.
Beans: The benchmark of animal sounds
Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu, Maddie Cusimano, Felix Effenberger, and Katie Zacarian · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
Cited alongside, same era.
Conformer: Convolution-augmented transformer for speech recognition
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, et al · 2020
Cited alongside, same era.
In search of lost domain generalization
Ishaan Gulrajani and David Lopez-Paz · 2020
Cited alongside, same era.
A broader study of cross-domain few-shot learning
Yunhui Guo, Noel C Codella, Leonid Karlinsky, James V Codella, John R Smith, Kate Saenko, Tajana Rosing, and Rogerio Feris · 2020
Cited alongside, same era.
Big transfer (bit): General visual representation learning
Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, and Neil Houlsby · 2020
Cited alongside, same era.
Meta-Dataset: A dataset of datasets for learning to learn from few examples
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, et al · 2020
Cited alongside, same era.
A collection of fully-annotated soundscape recordings from the Southwestern Amazon Basin
W. Alexander Hopping, Stefan Kahl, and Holger Klinck · 2022
Later among the works it cites.
Masked autoencoders that listen
Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, and Christoph Feichtenhofer · 2022
Later among the works it cites.
Overview of birdclef 2022: Endangered bird species recognition in soundscape recordings
Stefan Kahl, Amanda Navine, Tom Denton, Holger Klinck, Patrick Hart, Hervé Glotin, Hervé Goëau, Willem-Pier Vellinga, Robert Planqué, and Alexis Joly · 2022
Later among the works it cites.
Integrating new technologies to broaden the scope of northern spotted owl monitoring and linkage with usda forest inventory data
Damon B Lesmeister and Julianna Jenkins · 2022
Later among the works it cites.
A collection of fully-annotated soundscape recordings from the Island of Hawai’i
Amanda Navine, Stefan Kahl, Ann Tanimoto-Johnson, Holger Klinck, and Patrick Hart · 2022
Later among the works it cites.
Computational bioacoustics with deep learning: A review and roadmap
Dan Stowell · 2022
Later among the works it cites.
HEAR: Holistic evaluation of audio representations
Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W Schuller, Christian J Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, et al · 2022
Later among the works it cites.
Generalizing to unseen domains: A survey on domain generalization
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, and Philip Yu · 2022
Later among the works it cites.
Domain generalization: A survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy · 2022
Later among the works it cites.
In search for a generalizable method for source free domain adaptation
Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, and Eleni Triantafillou · 2023
Closest in time.
A collection of fully-annotated soundscape recordings from the southern Sierra Nevada mountain range
Mary Clapp, Stefan Kahl, Erik Meyer, Megan McKenna, Holger Klinck, and Gail Patricelli · 2023
Closest in time.
Towards the generalization of contrastive self-supervised learning
Weiran Huang, Mingyang Yi, Xuyang Zhao, and Zihao Jiang · 2023
Closest in time.
A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities
Yisheng Song, Ting Wang, Puyu Cai, Subrota K Mondal, and Jyoti Prakash Sahoo · 2023
Closest in time.
A collection of fully-annotated soundscape recordings from neotropical coffee farms in Colombia and Costa Rica
Álvaro Vega-Hidalgo, Stefan Kahl, Laurel B. Symes, Viviana Ruiz-Gutiérrez, Ingrid Molina-Mora, Fernando Cediel, Luis Sandoval, and Holger Klinck · 2023
Closest in time.