Research

Papers for “image classification”

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

Title	Authors	Year	Source
Order Matters: Improving Domain Adaptation by Reordering Data	Andrea Napoli, Paul White	2026	arxiv 2605.05084
Aligned explanations in neural networks	Corentin Lobet, Francesca Chiaromonte	2026	arxiv 2601.04378
GiVA: Gradient-Informed Bases for Vector-Based Adaptation	Neeraj Gangwar, Rishabh Deshmukh, Michael Shavlovsky	2026	arxiv 2604.21901
Empirical Evidence for Simply Connected Decision Regions in Image Classifiers	Arjhun Swaminathan, Mete Akgün	2026	arxiv 2605.06380
Histo-MExNet: A Unified Framework for Real-World, Cross-Magnification, and Trustworthy Breast Cancer Histopathology	Enam Ahmed Taufika, Md Ahasanul Arafatha, Abhijit Kumar Ghoshb	2026	arxiv 2603.14416
Natural Gradient Descent for Online Continual Learning	Joe Khawand, David Colliaux	2026	arxiv 2603.20898
Multiplicative learning from observation-prediction ratios	Han Kim, Hyungjoon Soh, Vipul Periwal	2025	arxiv 2503.10144
Designing to Forget: Deep Semi-parametric Models for Unlearning	Amber Yijia Zheng, Yu-Shan Tai, Raymond A. Yeh	2026	arxiv 2603.22870
From Gradient Clipping to Structural Refinement: Improving DPSGD for Medical Image Segmentation	Shiva Parsarad, Parth Shandilya, Isabel Wagner	2026	arxiv 2606.21763
Flatness-Aware Stochastic Gradient Langevin Dynamics	Stefano Bruno, Youngsik Hwang, Jaehyeon An	2025	arxiv 2510.02174
Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations	Yilun Kuang, Yash Dagade, Tim G. J. Rudner	2026	arxiv 2602.01456
Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning	Daniel Vila-Cruz, Laura Morán-Fernández, Verónica Bolón-Canedo	2026	arxiv 2607.13043
Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization	Jiaxuan Cheng	2026	arxiv 2607.13432
Adapting Vision Foundation Models with Cascaded Semantics	Xi Xiao, Xingjian Li, Cheng Han	2026	arxiv 2608.05393
DMSANet: Dual Multi Scale Attention Network	Abhinav Sagar	2021	arxiv 2106.08382
3D Human Pose Estimation with Spatial and Temporal Transformers	Ce Zheng, Sijie Zhu, Matias Mendieta	2021	arxiv 2103.10455
Deep Generative Modeling for Protein Design	Alexey Strokach, Philip M. Kim	2021	arxiv 2109.13754
Differentially Private Federated Learning via Inexact ADMM	Minseok Ryu, Kibaek Kim	2021	arxiv 2106.06127
On Direct Distribution Matching for Adapting Segmentation Networks	Georg Pichler, Jose Dolz, Ismail Ben Ayed	2019	arxiv 1904.02657
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion	Sijie Cheng, Jingwen Wu, Yanghua Xiao	2021	arxiv 2110.11027

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