Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents	Kelly Lais Wiggers, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich	2019	arxiv 1907.09404
Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve	Dang Duy Thang, Toshihiro Matsui	2019	arxiv 1908.01469
EnsembleNet: End-to-End Optimization of Multi-headed Models	Hanhan Li, Joe Yue-Hei Ng, Paul Natsev	2019	arxiv 1905.09979
Certifiably Robust Interpretation in Deep Learning	Alexander Levine, Sahil Singla, Soheil Feizi	2019	arxiv 1905.12105
Saccader: Improving Accuracy of Hard Attention Models for Vision	Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le	2019	arxiv 1908.07644
Neural Predictor for Neural Architecture Search	Wei Wen, Hanxiao Liu, Hai Li	2019	arxiv 1912.00848
Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks	Thomas Brunner, Frederik Diehl, Alois Knoll	2019	arxiv 1906.06086
ResFeats: Residual Network Based Features for Image Classification	Ammar Mahmood, Mohammed Bennamoun, Senjian An	2016	arxiv 1611.06656
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems	Xin Dong, Barbara De Salvo, Meng Li	2022	arxiv 2204.04705
CNN-based Local Vision Transformer for COVID-19 Diagnosis	Hongyan Xu, Xiu Su, Dadong Wang	2022	arxiv 2207.02027
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics	Iuliia Pliushch, Martin Mundt, Nicolas Lupp	2021	arxiv 2105.08997
LAVA: Label-efficient Visual Learning and Adaptation	Islam Nassar, Munawar Hayat, Ehsan Abbasnejad	2022	arxiv 2210.10317
Stochastic Gradient Push for Distributed Deep Learning	Mahmoud Assran, Nicolas Loizou, Nicolas Ballas	2018	arxiv 1811.10792
Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer	Md Ashiqur Rahman, Chiao-An Yang, Michael N. Cheng	2025	arxiv 2508.14187
Improving the Transferability of Adversarial Examples by Feature Augmentation	Donghua Wang, Wen Yao, Tingsong Jiang	2024	arxiv 2407.06714
Improving Adversarial Transferability via Model Alignment	Avery Ma, Amir-massoud Farahmand, Yangchen Pan	2023	arxiv 2311.18495
Particle-Filtering-based Latent Diffusion for Inverse Problems	Amir Nazemi, Mohammad Hadi Sepanj, Nicholas Pellegrino	2024	arxiv 2408.13868
Robustness via Cross-Domain Ensembles	Teresa Yeo, Oğuzhan Fatih Kar, Alexander Sax	2021	arxiv 2103.10919
Mean Shift for Self-Supervised Learning	Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash	2021	arxiv 2105.07269
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation	Trung Quang Tran, Mingu Kang, Daeyoung Kim	2021	arxiv 2102.06328

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