Research

Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Supervised learning of sheared distributions using linearized optimal transport	Varun Khurana, Harish Kannan, Alexander Cloninger	2022	arxiv 2201.10590
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance	Giung Nam, Byeongho Heo, Juho Lee	2024	arxiv 2404.00860
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup	Hannes Fassold	2023	arxiv 2309.08610
Explaining Neural Networks by Decoding Layer Activations	Johannes Schneider, Michalis Vlachos	2020	arxiv 2005.13630
Learning Decision Trees Recurrently Through Communication	Stephan Alaniz, Diego Marcos, Bernt Schiele	2019	arxiv 1902.01780
Simple Open-Vocabulary Object Detection with Vision Transformers	Matthias Minderer, Alexey Gritsenko, Austin Stone	2022	arxiv 2205.06230
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling	Anadi Chaman, Ivan Dokmanić	2021	arxiv 2105.04040
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study	Ananya Karthik, Mike Wu, Noah Goodman	2021	arxiv 2112.05340
Latent Discriminant deterministic Uncertainty	Gianni Franchi, Xuanlong Yu, Andrei Bursuc	2022	arxiv 2207.10130
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition	Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh	2021	arxiv 2109.14710
AGAN: Towards Automated Design of Generative Adversarial Networks	Hanchao Wang, Jun Huan	2019	arxiv 1906.11080
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks	Raphael Tang, Ashutosh Adhikari, Jimmy Lin	2018	arxiv 1811.03060
Efficient Decentralized Deep Learning by Dynamic Model Averaging	Michael Kamp, Linara Adilova, Joachim Sicking	2018	arxiv 1807.03210
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks	Yueru Chen, Yijing Yang, Min Zhang	2019	arxiv 1902.01980
Meta-Amortized Variational Inference and Learning	Mike Wu, Kristy Choi, Noah Goodman	2019	arxiv 1902.01950
Can weight sharing outperform random architecture search? An investigation with TuNAS	Gabriel Bender, Hanxiao Liu, Bo Chen	2020	arxiv 2008.06120
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study	Suyog Gupta, Wei Zhang, Fei Wang	2015	arxiv 1509.04210
Cross-Domain Sparse Coding	Jim Jing-Yan Wang	2013	arxiv 1311.7080
Deep Reinforcement Learning and its Neuroscientific Implications	Matthew Botvinick, Jane X. Wang, Will Dabney	2020	arxiv 2007.03750
The Fornax Spectroscopic Survey --- Low Surface Brightness Galaxies in Fornax	M. J. Drinkwater, S. Phillipps, J. B. Jones (2) __INSTITUTION_3__University of New South Wales	1998	arxiv astro-ph/9810295

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