Research

Papers for “imagenet”

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

Title	Authors	Year	Source
BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning	Haoyue Sheng, Linrui Ma, Jean-Francois Samson	2024	arxiv 2402.06499
Self-supervised Dataset Distillation: A Good Compression Is All You Need	Muxin Zhou, Zeyuan Yin, Shitong Shao	2024	arxiv 2404.07976
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing	Yuheng Huang, Lei Ma, Yuanchun Li	2021	arxiv 2111.10481
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning	Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos	2023	arxiv 2305.18424
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis	Zanlin Ni, Yulin Wang, Renping Zhou	2024	arxiv 2411.06959
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations	Bin Wang, Wenbin Pei, Bing Xue	2022	arxiv 2211.15143
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks	Nitin Rathi, Kaushik Roy	2020	arxiv 2008.03658
Models Genesis	Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang	2020	arxiv 2004.07882
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations	Yichi Zhang, Junhao Pan, Xinheng Liu	2020	arxiv 2012.12206
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search	Zixiang Ding, Yaran Chen, Nannan Li	2020	arxiv 2009.08886
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models	Tianlong Chen, Jonathan Frankle, Shiyu Chang	2020	arxiv 2012.06908
Efficient Lottery Ticket Finding: Less Data is More	Zhenyu Zhang, Xuxi Chen, Tianlong Chen	2021	arxiv 2106.03225
FerKD: Surgical Label Adaptation for Efficient Distillation	Zhiqiang Shen	2023	arxiv 2312.17473
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning	Hoo-Chang Shin, Holger R. Roth, Mingchen Gao	2016	arxiv 1602.03409
YouTube-8M: A Large-Scale Video Classification Benchmark	Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee	2016	arxiv 1609.08675
Improved Deep Learning of Object Category using Pose Information	Jiaping Zhao, Laurent Itti	2016	arxiv 1607.05836
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space	Anh Nguyen, Jeff Clune, Yoshua Bengio	2016	arxiv 1612.00005
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs	Jonas Kubilius, Martin Schrimpf, Kohitij Kar	2019	arxiv 1909.06161
Neon: Negative Extrapolation From Self-Training Improves Image Generation	Sina Alemohammad, Zhangyang Wang, Richard G. Baraniuk	2025	arxiv 2510.03597
Loss-Aware Automatic Selection of Structured Pruning Criteria for Deep Neural Network Acceleration	Deepak Ghimire, Kilho Lee, Seong-heum Kim	2025	arxiv 2506.20152

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