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Papers for “imagenet”

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

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TitleAuthorsYearSource
Identifying Statistical Bias in Dataset ReplicationLogan Engstrom, Andrew Ilyas, Shibani Santurkar2020arxiv 2005.09619
A Self-supervised GAN for Unsupervised Few-shot Object RecognitionKhoi Nguyen, Sinisa Todorovic2020arxiv 2008.06982
Efficient Automatic Meta Optimization Search for Few-Shot LearningXinyue Zheng, Peng Wang, Qigang Wang2019arxiv 1909.03817
Analyzing the Dependency of ConvNets on Spatial InformationYue Fan, Yongqin Xian, Max Maria Losch2020arxiv 2002.01827
Masked Siamese Networks for Label-Efficient LearningMahmoud Assran, Mathilde Caron, Ishan Misra2022arxiv 2204.07141
Identical Image Retrieval using Deep LearningSayan Nath, Nikhil Nayak2022arxiv 2205.04883
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set RecognitionYunbing Jia, Xiaoyu Kong, Fan Tang2024arxiv 2404.19527
Real World Robustness from Systematic NoiseYan Wang, Yuhang Li, Ruihao Gong2021arxiv 2109.00864
Adversarial Robustness of Discriminative Self-Supervised Learning in VisionÖmer Veysel Çağatan, Ömer Faruk Tal, M. Emre Gürsoy2025arxiv 2503.06361
Masked Autoencoders are Efficient Class Incremental LearnersJiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov2023arxiv 2308.12510
Learning Equi-angular Representations for Online Continual LearningMinhyuk Seo, Hyunseo Koh, Wonje Jeung2024arxiv 2404.01628
Transfer Learning-Based Model Protection With Secret KeyMaungMaung AprilPyone, Hitoshi Kiya2021arxiv 2103.03525
Tent: Fully Test-time Adaptation by Entropy MinimizationDequan Wang, Evan Shelhamer, Shaoteng Liu2020arxiv 2006.10726
Post-training deep neural network pruning via layer-wise calibrationIvan Lazarevich, Alexander Kozlov, Nikita Malinin2021arxiv 2104.15023
Deep Classifiers with Label Noise Modeling and Distance AwarenessVincent Fortuin, Mark Collier, Florian Wenzel2021arxiv 2110.02609
Few-Shot Adaptation for Multimedia Semantic IndexingNakamasa Inoue, Koichi Shinoda2018arxiv 1807.07203
Co-advise: Cross Inductive Bias DistillationSucheng Ren, Zhengqi Gao, Tianyu Hua2021arxiv 2106.12378
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep NetworksGiyeong Oh, Woohyun Cho, Siyeol Kim2025arxiv 2505.11881
Facial Image Feature Analysis and its Specialization for Fr\'echet Distance and NeighborhoodsDoruk Cetin, Benedikt Schesch, Petar Stamenkovic2024arxiv 2406.18430
Grounding inductive biases in natural images:invariance stems from variations in dataDiane Bouchacourt, Mark Ibrahim, Ari S. Morcos2021arxiv 2106.05121