Research

Papers for “imagenet”

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

Title	Authors	Year	Source
MeanFlow Transformers with Representation Autoencoders	Zheyuan Hu, Chieh-Hsin Lai, Ge Wu	2025	arxiv 2511.13019
Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation	Xingting Yao, Qinghao Hu, Fei Zhou	2025	arxiv 2506.23717
Decoupled Self Attention for Accurate One Stage Object Detection	Kehe WU, Zuge Chen, Qi MA	2020	arxiv 2012.07630
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram	Mingxi Lei, Chunwei Ma, Meng Ding	2024	arxiv 2412.07980
RobustFormer: Noise-Robust Pre-training for images and videos	Ashish Bastola, Nishant Luitel, Hao Wang	2024	arxiv 2411.13040
Pre-training vision models for the classification of alerts from wide-field time-domain surveys	Nabeel Rehemtulla, Adam A. Miller, Mike Walmsley	2025	arxiv 2512.11957
Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models	Bincheng Peng, Guang Li, Ping Liu	2026	arxiv 2605.07194
Self-Attention And Beyond the Infinite: Towards Linear Transformers with Infinite Self-Attention	Giorgio Roffo, Hazem Abdelkawy, Nilli Lavie	2026	arxiv 2603.00175
Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry	Duoduo Xue, Zhiyu Zhu, Junhui Hou	2026	arxiv 2606.00094
CanViT: Toward Active-Vision Foundation Models	Yohaï-Eliel Berreby, Sabrina Du, Audrey Durand	2026	arxiv 2603.22570
Enhanced Low-Density Region Exploration in Classifier-Guided Diffusion Models Through Modified Reverse Diffusion Sampling	Jagriti Singh, Shekhar Verma, Muneendra Ojha	2026	arxiv 2606.13347
Burst Spiking Neural Networks	Jiahong Zhang, Sijun Shen, Man Yao	2026	arxiv 2607.11914
Token-Based Detection of Spurious Correlations in Vision Transformers	Solha Kang, Esla Timothy Anzaku, Wesley De Neve	2025	arxiv 2509.04009
Orthogonalising gradients to speed up neural network optimisation	Mark Tuddenham, Adam Prügel-Bennett, Jonathan Hare	2022	arxiv 2202.07052
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network	Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin	2022	arxiv 2202.03101
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs	Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin	2018	arxiv 1802.10026
Multi-label Object Attribute Classification using a Convolutional Neural Network	Soubarna Banik, Mikko Lauri, Simone Frintrop	2018	arxiv 1811.04309
Simple, Distributed, and Accelerated Probabilistic Programming	Dustin Tran, Matthew Hoffman, Dave Moore	2018	arxiv 1811.02091
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge	Guangli Li, Lei Liu, Xueying Wang	2018	arxiv 1812.06426
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures	Abhronil Sengupta, Yuting Ye, Robert Wang	2018	arxiv 1802.02627

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