Research

Papers for “image classification”

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

Title	Authors	Year	Source
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs	Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto	2023	arxiv 2305.18362
CNN architecture extraction on edge GPU	Peter Horvath, Lukasz Chmielewski, Leo Weissbart	2024	arxiv 2401.13575
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption	Prajwal Panzade, Daniel Takabi, Zhipeng Cai	2024	arxiv 2402.09059
Learning in Deep Factor Graphs with Gaussian Belief Propagation	Seth Nabarro, Mark van der Wilk, Andrew J Davison	2023	arxiv 2311.14649
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm	Jinwei Zhao, Marco Gori, Alessandro Betti	2024	arxiv 2409.06542
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time	Chiao-An Yang, Ziwei Liu, Raymond A. Yeh	2024	arxiv 2410.01083
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"	Luan Fletcher, Robert van der Klis, Martin Sedláček	2024	arxiv 2410.13989
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP	Eunji Kim, Kyuhong Shim, Simyung Chang	2024	arxiv 2410.08469
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling	Philip Müller, Felix Meissen, Georgios Kaissis	2024	arxiv 2402.11985
Knowledge Swapping via Learning and Unlearning	Mingyu Xing, Lechao Cheng, Shengeng Tang	2025	arxiv 2502.08075
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning	Zuheng Kang, Yayun He, Jianzong Wang	2024	arxiv 2404.15704
Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices	Adarsh Prasad Behera, Roberto Morabito, Joerg Widmer	2024	arxiv 2406.09424
Multi-Objective Neural Architecture Search for In-Memory Computing	Md Hasibul Amin, Mohammadreza Mohammadi, Ramtin Zand	2024	arxiv 2406.06746
Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers	Aakash Singh, Vivek Kumar Singh	2023	arxiv 2303.15852
RadTex: Learning Efficient Radiograph Representations from Text Reports	Keegan Quigley, Miriam Cha, Ruizhi Liao	2022	arxiv 2208.03218
Evidence-empowered Transfer Learning for Alzheimer's Disease	Kai Tzu-iunn Ong, Hana Kim, Minjin Kim	2023	arxiv 2303.01105
Image Captioners Sometimes Tell More Than Images They See	Honori Udo, Takafumi Koshinaka	2023	arxiv 2305.02932
OCD: Learning to Overfit with Conditional Diffusion Models	Shahar Lutati, Lior Wolf	2022	arxiv 2210.00471
Function-Space Regularization for Deep Bayesian Classification	Jihao Andreas Lin, Joe Watson, Pascal Klink	2023	arxiv 2307.06055
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays	Benjamin Bergner, Csaba Rohrer, Aiham Taleb	2021	arxiv 2112.09694

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