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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
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial AttacksThomas Brunner, Frederik Diehl, Michael Truong Le2018arxiv 1812.09803
Conformer: Local Features Coupling Global Representations for Visual RecognitionZhiliang Peng, Wei Huang, Shanzhi Gu2021arxiv 2105.03889
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic SpaceRui Huang, Yixuan Li2021arxiv 2105.01879
Neural Architecture Search with Random LabelsXuanyang Zhang, Pengfei Hou, Xiangyu Zhang2021arxiv 2101.11834
CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated AnnealingOleksandr Borysenko, Maksym Byshkin2020arxiv 2005.14605
BoolNet: Minimizing The Energy Consumption of Binary Neural NetworksNianhui Guo, Joseph Bethge, Haojin Yang2021arxiv 2106.06991
Robust Context-Aware Object RecognitionKlara Janouskova, Cristian Gavrus, Jiri Matas2025arxiv 2510.00618
Convolutional Neural Nets vs Vision Transformers: A SpaceNet Case Study with Balanced vs Imbalanced RegimesAkshar Gothi2025arxiv 2510.03297
NFIG: Multi-Scale Autoregressive Image Generation via Frequency OrderingZhihao Huang, Xi Qiu, Yukuo Ma2025arxiv 2503.07076
Always-Sparse Training by Growing Connections with Guided Stochastic ExplorationMike Heddes, Narayan Srinivasa, Tony Givargis2024arxiv 2401.06898
Variational Self-Supervised LearningMehmet Can Yavuz, Berrin Yanikoglu2025arxiv 2504.04318
ChannelExplorer: Exploring Class Separability Through Activation Channel VisualizationMd Rahat-uz- Zaman, Bei Wang, Paul Rosen2025arxiv 2505.04647
Achieving 3D Attention via Triplet Squeeze and Excitation BlockMaan Alhazmi, Abdulrahman Altahhan2025arxiv 2505.05943
SPECTRE: An FFT-Based Efficient Drop-In Replacement to Self-Attention for Long ContextsJacob Fein-Ashley, Neelesh Gupta, Rajgopal Kannan2025arxiv 2502.18394
Unified Continuous Generative ModelsPeng Sun, Yi Jiang, Tao Lin2025arxiv 2505.07447
REG: Rectified Gradient Guidance for Conditional Diffusion ModelsZhengqi Gao, Kaiwen Zha, Tianyuan Zhang2025arxiv 2501.18865
Explainable embeddings with Distance ExplainerChristiaan Meijer, E. G. Patrick Bos2025arxiv 2505.15516
Leaner Transformers: More Heads, Less DepthHemanth Saratchandran, Damien Teney, Simon Lucey2025arxiv 2505.20802
Efficient Generative Modeling with Residual Vector Quantization-Based TokensJaehyeon Kim, Taehong Moon, Keon Lee2024arxiv 2412.10208
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AIAditya Chakravarty2025arxiv 2506.07286