Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks	Maciej A. Czyzewski, Daniel Nowak, Kamil Piechowiak	2022	arxiv 2212.13970
Skip-Attention: Improving Vision Transformers by Paying Less Attention	Shashanka Venkataramanan, Amir Ghodrati, Yuki M. Asano	2023	arxiv 2301.02240
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN	Kang You, Zekai Xu, Chen Nie	2024	arxiv 2406.03470
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations	Dhananjay Saikumar, Blesson Varghese	2025	arxiv 2502.15790
Efficient Reprogramming of Memristive Crossbars for DNNs: Weight Sorting and Bit Stucking	Matheus Farias, H. T. Kung	2024	arxiv 2410.21730
Bootstrap Deep Spectral Clustering with Optimal Transport	Wengang Guo, Wei Ye, Chunchun Chen	2025	arxiv 2508.04200
Learning to Obstruct Few-Shot Image Classification over Restricted Classes	Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh	2024	arxiv 2409.19210
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models	Lucas Berry, Axel Brando, David Meger	2024	arxiv 2406.18580
Seeing the Whole in the Parts in Self-Supervised Representation Learning	Arthur Aubret, Céline Teulière, Jochen Triesch	2025	arxiv 2501.02860
CAT: Content-Adaptive Image Tokenization	Junhong Shen, Kushal Tirumala, Michihiro Yasunaga	2025	arxiv 2501.03120
Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration	Sicheng Mo, Thao Nguyen, Richard Zhang	2025	arxiv 2512.10954
Scale-Consistent State-Space Dynamics via Fractal of Stationary Transformations	Geunhyeok Yu, Hyoseok Hwang	2026	arxiv 2601.19551
Multilevel and Sequential Monte Carlo for Training-Free Diffusion Guidance	Aidan Gleich, Scott C. Schmidler	2026	arxiv 2601.21104
Deep Probabilistic Supervision for Image Classification	Anton Adelöw, Matteo Gamba, Atsuto Maki	2025	arxiv 2512.24162
Generative Modeling via Drifting	Mingyang Deng, He Li, Tianhong Li	2026	arxiv 2602.04770
Soft Tail-dropping for Adaptive Visual Tokenization	Zeyuan Chen, Kai Zhang, Zhuowen Tu	2026	arxiv 2601.14246
Orthogonium : A Unified, Efficient Library of Orthogonal and 1-Lipschitz Building Blocks	Thibaut Boissin, Franck Mamalet, Valentin Lafargue	2026	arxiv 2601.13776
Hierarchical Zero-Order Optimization for Deep Neural Networks	Sansheng Cao, Zhengyu Ma, Yonghong Tian	2026	arxiv 2602.10607
Maximizing Incremental Information Entropy for Contrastive Learning	Jiansong Zhang, Zhuoqin Yang, Xu Wu	2026	arxiv 2603.12594
MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model	Quan Dao, Dimitris Metaxas	2026	arxiv 2603.26357

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