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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
GraCIAS: Grassmannian of Corrupted Images for Adversarial SecurityAnkita Shukla, Pavan Turaga, Saket Anand2020arxiv 2005.02936
Attention Augmented Convolutional NetworksIrwan Bello, Barret Zoph, Ashish Vaswani2019arxiv 1904.09925
Global Self-Attention Networks for Image RecognitionZhuoran Shen, Irwan Bello, Raviteja Vemulapalli2020arxiv 2010.03019
LT-GAN: Self-Supervised GAN with Latent Transformation DetectionParth Patel, Nupur Kumari, Mayank Singh2020arxiv 2010.09893
FSS-1000: A 1000-Class Dataset for Few-Shot SegmentationXiang Li, Tianhan Wei, Yau Pun Chen2019arxiv 1907.12347
(De)Randomized Smoothing for Certifiable Defense against Patch AttacksAlexander Levine, Soheil Feizi2020arxiv 2002.10733
Learning to Generalize to Unseen Tasks with Bilevel OptimizationHayeon Lee, Donghyun Na, Hae Beom Lee2019arxiv 1908.01457
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationLukas Hoyer, Dengxin Dai, Luc Van Gool2021arxiv 2111.14887
Soft Threshold Ternary NetworksWeixiang Xu, Xiangyu He, Tianli Zhao2022arxiv 2204.01234
Adjoined Networks: A Training Paradigm with Applications to Network CompressionUtkarsh Nath, Shrinu Kushagra, Yingzhen Yang2020arxiv 2006.05624
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model PretrainingYuting Gao, Jinfeng Liu, Zihan Xu2022arxiv 2204.14095
Learning an Adaptation Function to Assess Image Visual SimilaritiesOlivier Risser-Maroix, Amine Marzouki, Hala Djeghim2022arxiv 2206.01417
Certifying Out-of-Domain Generalization for Blackbox FunctionsMaurice Weber, Linyi Li, Boxin Wang2022arxiv 2202.01679
Rethinking Knowledge Distillation via Cross-EntropyZhendong Yang, Zhe Li, Yuan Gong2022arxiv 2208.10139
FocusFormer: Focusing on What We Need via Architecture SamplerJing Liu, Jianfei Cai, Bohan Zhuang2022arxiv 2208.10861
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNsLukas Meiner, Jens Mehnert, Alexandru Paul Condurache2025arxiv 2505.03254
LowDiff: Efficient Diffusion Sampling with Low-Resolution ConditionJiuyi Xu, Qing Jin, Meida Chen2025arxiv 2509.15342
Closing the Oracle Gap: Increment Vector Transformation for Class Incremental LearningZihuan Qiu, Yi Xu, Fanman Meng2025arxiv 2509.21898
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine UnlearningChongyu Fan, Jiancheng Liu, Alfred Hero2024arxiv 2403.07362
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class TaxonomiesJia Shi, Gautam Gare, Jinjin Tian2024arxiv 2407.16067