Research

Papers for “imagenet”

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

Title	Authors	Year	Source
TerViT: An Efficient Ternary Vision Transformer	Sheng Xu, Yanjing Li, Teli Ma	2022	arxiv 2201.08050
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization	Eunji Kim, Siwon Kim, Jungbeom Lee	2022	arxiv 2204.00220
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization	Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song	2019	arxiv 1902.10990
Model Similarity Mitigates Test Set Overuse	Horia Mania, John Miller, Ludwig Schmidt	2019	arxiv 1905.12580
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks	Yunxiang Zhang, Chenglong Zhao, Bingbing Ni	2019	arxiv 1908.02620
Gradient $\ell_1$ Regularization for Quantization Robustness	Milad Alizadeh, Arash Behboodi, Mart van Baalen	2020	arxiv 2002.07520
Search Space of Adversarial Perturbations against Image Filters	Dang Duy Thang, Toshihiro Matsui	2020	arxiv 2003.02750
Training Generative Adversarial Networks by Solving Ordinary Differential Equations	Chongli Qin, Yan Wu, Jost Tobias Springenberg	2020	arxiv 2010.15040
On Intrinsic Dataset Properties for Adversarial Machine Learning	Jeffrey Z. Pan, Nicholas Zufelt	2020	arxiv 2005.09170
A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements	Julia Schulte, Daniel Staps, Alexander Lampe	2019	arxiv 1907.07890
Lookahead Optimizer: k steps forward, 1 step back	Michael R. Zhang, James Lucas, Geoffrey Hinton	2019	arxiv 1907.08610
Unsupervised Image Classification for Deep Representation Learning	Weijie Chen, Shiliang Pu, Di Xie	2020	arxiv 2006.11480
Convolutional Neural Networks at Constrained Time Cost	Kaiming He, Jian Sun	2014	arxiv 1412.1710
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems	Charles Siegel, Jeff Daily, Abhinav Vishnu	2016	arxiv 1610.00790
Continual Learning with Deep Streaming Regularized Discriminant Analysis	Joe Khawand, Peter Hanappe, David Colliaux	2023	arxiv 2309.08353
Are "Hierarchical" Visual Representations Hierarchical?	Ethan Shen, Ali Farhadi, Aditya Kusupati	2023	arxiv 2311.05784
Bayesian Online Learning for Consensus Prediction	Sam Showalter, Alex Boyd, Padhraic Smyth	2023	arxiv 2312.07679
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks	Peng Zhao, Jiehua Zhang, Bowen Peng	2023	arxiv 2312.13575
SPFormer: Enhancing Vision Transformer with Superpixel Representation	Jieru Mei, Liang-Chieh Chen, Alan Yuille	2024	arxiv 2401.02931
Modulate Your Spectrum in Self-Supervised Learning	Xi Weng, Yunhao Ni, Tengwei Song	2023	arxiv 2305.16789

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