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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
Joint Post-Training Quantization of Vision Transformers with Learned Prompt-Guided Data GenerationShile Li, Markus Karmann, Onay Urfalioglu2026arxiv 2602.18861
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable ModelsJames Townsend, Thomas Bird, Julius Kunze2019arxiv 1912.09953
Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition ModelsValerie Krug, Sebastian Stober2025arxiv 2506.03664
Study of positional encoding approaches for Audio Spectrogram TransformersLeonardo Pepino, Pablo Riera, Luciana Ferrer2021arxiv 2110.06999
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile DevicesXiangyu Zhang, Xinyu Zhou, Mengxiao Lin2017arxiv 1707.01083
Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient MagnitudesPeter Ochieng2025arxiv 2510.05767
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial AttacksWei-An Lin, Chun Pong Lau, Alexander Levine2020arxiv 2009.02470
Dataset Distillation via Curriculum Data Synthesis in Large Data EraZeyuan Yin, Zhiqiang Shen2023arxiv 2311.18838
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?Wenxuan Li, Alan Yuille, Zongwei Zhou2025arxiv 2501.11253
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language ModelsGautam Rajendrakumar Gare, Jia Shi, Zhiqiu Lin2026arxiv 2607.18695
TCL: an ANN-to-SNN Conversion with Trainable Clipping LayersNguyen-Dong Ho, Ik-Joon Chang2020arxiv 2008.04509
Applying the Decisiveness and Robustness Metrics to Convolutional Neural NetworksChristopher A. George, Eduardo A. Barrera, Kenric P. Nelson2020arxiv 2006.00058
Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP SettingAbhimanu Kumar, Pengtao Xie, Junming Yin2015arxiv 1512.02728
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot ClassificationDong Hoon Lee, Sae-Young Chung2021arxiv 2106.11486
USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation LearningYixiong Chen, Chunhui Zhang, Li Liu2020arxiv 2011.13066
Towards Robust Vision TransformerXiaofeng Mao, Gege Qi, Yuefeng Chen2021arxiv 2105.07926
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture SearchGuillaume Michel, Mohammed Amine Alaoui, Alice Lebois2019arxiv 1902.01654
CoAtNet: Marrying Convolution and Attention for All Data SizesZihang Dai, Hanxiao Liu, Quoc V. Le2021arxiv 2106.04803
Generalized Large-Scale Data Condensation via Various Backbone and Statistical MatchingShitong Shao, Zeyuan Yin, Muxin Zhou2023arxiv 2311.17950
Self-Supervised Training Enhances Online Continual LearningJhair Gallardo, Tyler L. Hayes, Christopher Kanan2021arxiv 2103.14010