SOTA2 Research · papers

Papers for “image classification”

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

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20 indexed

Title	Authors	Year	Source
Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach	Chunheng Zhao, Pierluigi Pisu, Gurcan Comert	2024	arxiv 2412.20025
CHM-Net: Center Heatmap-driven Macro-Micro Modeling Network for MRI-based Microbial Density Stratification	Jiaming Liang, Haolin Chen, Tingting Li	2026	arxiv 2607.09812
Instance-Level Generation for Representation Learning	Yankun Wu, Zakaria Laskar, Giorgos Kordopatis-Zilos	2025	arxiv 2510.09171
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization	Zhen Huang, Jiaxin Deng, Junbiao Pang	2026	arxiv 2607.18306
Optimization as a Dynamical System: Generative Schedules from Latent ODEs	Matt L. Sampson, Peter Melchior	2025	arxiv 2509.23052
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation	Samuel G. Müller, Frank Hutter	2021	arxiv 2103.10158
Contextual Convolutional Neural Networks	Ionut Cosmin Duta, Mariana Iuliana Georgescu, Radu Tudor Ionescu	2021	arxiv 2108.07387
Discriminative Distillation to Reduce Class Confusion in Continual Learning	Changhong Zhong, Zhiying Cui, Ruixuan Wang	2021	arxiv 2108.05187
Variational Feature Disentangling for Fine-Grained Few-Shot Classification	Jingyi Xu, Hieu Le, Mingzhen Huang	2020	arxiv 2010.03255
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks	Alexandre Rame, Remy Sun, Matthieu Cord	2021	arxiv 2103.06132