Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Compressing the Input for CNNs with the First-Order Scattering Transform	Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko	2018	arxiv 1809.10200
Selective Classification for Deep Neural Networks	Yonatan Geifman, Ran El-Yaniv	2017	arxiv 1705.08500
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks	Cheng-En Wu, Azadeh Davoodi, Yu Hen Hu	2023	arxiv 2312.16904
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets	Jonas Ngnawe, Marianne Abemgnigni Njifon, Jonathan Heek	2023	arxiv 2304.02847
S2IL: Structurally Stable Incremental Learning	S Balasubramanian, Yedu Krishna P, Talasu Sai Sriram	2025	arxiv 2503.12193
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging	Zihao Han, Philippe De Wilde	2025	arxiv 2502.12379
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning	Chengcheng Guo, Bo Zhao, Yanbing Bai	2022	arxiv 2204.08499
Conditional Image Synthesis With Auxiliary Classifier GANs	Augustus Odena, Christopher Olah, Jonathon Shlens	2016	arxiv 1610.09585
DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning	Omayma Moussadek, Riccardo Salami, Simone Calderara	2025	arxiv 2510.13567
Don't Fear Peculiar Activation Functions: EUAF and Beyond	Qianchao Wang, Shijun Zhang, Dong Zeng	2024	arxiv 2407.09580
Beyond Detection: Multi-Scale Hidden-Code for Natural Image Deepfake Recovery and Factual Retrieval	Yuan-Chih Chen, Chun-Shien Lu	2026	arxiv 2602.22759
Diffusion or Non-Diffusion Adversarial Defenses: Rethinking the Relation between Classifier and Adversarial Purifier	Yuan-Chih Chen, Chun-Shien Lu	2025	arxiv 2501.16904
Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression	Chenyue Yu, Lingao Xiao, Jinhong Deng	2026	arxiv 2602.20650
QuIDE: Mastering the Quantized Intelligence Trade-off via Active Optimization	Xiantao Jiang	2026	arxiv 2605.10959
TF-Replicator: Distributed Machine Learning for Researchers	Peter Buchlovsky, David Budden, Dominik Grewe	2019	arxiv 1902.00465
Large Scale GAN Training for High Fidelity Natural Image Synthesis	Andrew Brock, Jeff Donahue, Karen Simonyan	2018	arxiv 1809.11096
High-Fidelity Image Generation With Fewer Labels	Mario Lucic, Michael Tschannen, Marvin Ritter	2019	arxiv 1903.02271
Learning Robust Global Representations by Penalizing Local Predictive Power	Haohan Wang, Songwei Ge, Eric P. Xing	2019	arxiv 1905.13549
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs	Hai Victor Habi, Roy H. Jennings, Arnon Netzer	2020	arxiv 2007.09952
Deep Network Ensemble Learning applied to Image Classification using CNN Trees	Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat	2020	arxiv 2008.00829

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