Research

Papers for “image classification”

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

Title	Authors	Year	Source
Is More Data All You Need? A Causal Exploration	Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz	2022	arxiv 2206.02409
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale	Fan Lai, Yinwei Dai, Sanjay S. Singapuram	2021	arxiv 2105.11367
DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting	Shaoru Chen, Eric Wong, J. Zico Kolter	2021	arxiv 2106.09117
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs	Fanchen Bu, Dong Eui Chang	2022	arxiv 2205.08385
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation	Qiran Jia, Hai Shu	2021	arxiv 2109.12271
Machine Learning with DBOS	Robert Redmond, Nathan W. Weckwerth, Brian S. Xia	2022	arxiv 2208.05101
Self-Supervised Pretraining for Differentially Private Learning	Arash Asadian, Evan Weidner, Lei Jiang	2022	arxiv 2206.07125
Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging	Kaiguang Yang, Yeping Wang, Qianhao Luo	2022	arxiv 2208.06607
Universal Representations: A Unified Look at Multiple Task and Domain Learning	Wei-Hong Li, Xialei Liu, Hakan Bilen	2022	arxiv 2204.02744
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors	Alessandro Avi, Andrea Albanese, Davide Brunelli	2022	arxiv 2209.00591
Exploring Localization for Self-supervised Fine-grained Contrastive Learning	Di Wu, Siyuan Li, Zelin Zang	2021	arxiv 2106.15788
A Rate-Distortion Framework for Explaining Neural Network Decisions	Jan Macdonald, Stephan Wäldchen, Sascha Hauch	2019	arxiv 1905.11092
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification	Maxime Bucher, Stéphane Herbin, Frédéric Jurie	2016	arxiv 1607.08085
On Generalization and Regularization in Deep Learning	Pirmin Lemberger	2017	arxiv 1704.01312
Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks	Marco Mordacci, Michele Amoretti	2025	arxiv 2509.15722
Recovering Plasticity of Neural Networks via Soft Weight Rescaling	Seungwon Oh, Sangyeon Park, Isaac Han	2025	arxiv 2507.04683
DS_FusionNet: Dynamic Dual-Stream Fusion with Bidirectional Knowledge Distillation for Plant Disease Recognition	Yanghui Song, Chengfu Yang	2025	arxiv 2504.20948
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences	Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy	2024	arxiv 2406.10427
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning	Xiang Li, Qianli Shen, Haonan Wang	2025	arxiv 2507.22499
I Am Big, You Are Little; I Am Right, You Are Wrong	David A. Kelly, Akchunya Chanchal, Nathan Blake	2025	arxiv 2507.23509

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