Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation	Hongsin Lee, Hye Won Chung	2025	arxiv 2512.10275
Learning to Integrate Diffusion ODEs by Averaging the Derivatives	Wenze Liu, Xiangyu Yue	2025	arxiv 2505.14502
Normalized Conditional Mutual Information Surrogate Loss for Deep Neural Classifiers	Linfeng Ye, Zhixiang Chi, Konstantinos N. Plataniotis	2026	arxiv 2601.02543
One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection	Gerhard Krumpl, Henning Avenhaus, Horst Possegger	2026	arxiv 2601.10836
How Worst-Case Are Adversarial Attacks? Linking Adversarial and Perturbation Robustness	Giulio Rossolini	2026	arxiv 2601.14519
Discrete Variational Autoencoding via Policy Search	Michael Drolet, Firas Al-Hafez, Aditya Bhatt	2025	arxiv 2509.24716
Deep Learning Approach for the Diagnosis of Pediatric Pneumonia Using Chest X-ray Imaging	Fatemeh Hosseinabadi, Mohammad Mojtaba Rohani	2025	arxiv 2601.00041
Distilling Lightweight Domain Experts from Large ML Models by Identifying Relevant Subspaces	Pattarawat Chormai, Ali Hashemi, Klaus-Robert Müller	2026	arxiv 2601.05913
MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head	Kewei Zhang, Ye Huang, Yufan Deng	2026	arxiv 2601.07832
Intensity-based Segmentation of Tissue Images Using a U-Net with a Pretrained ResNet-34 Encoder: Application to Mueller Microscopy	Sooyong Chae, Dani Giammattei, Ajmal Ajmal	2026	arxiv 2602.09787
Extensions of the regret-minimization algorithm for optimal design	Youguang Chen, George Biros	2025	arxiv 2503.19874
Dual-Solver: A Generalized ODE Solver for Diffusion Models with Dual Prediction	Soochul Park, Yeon Ju Lee	2026	arxiv 2603.03973
Cross-Task Benchmarking of CNN Architectures	Kamal Sherawat, Vikrant Bhati	2026	arxiv 2602.22945
Fine-Pruning: A Biologically Inspired Algorithm for Personalization of Machine Learning Models	Joseph Bingham, Saman Zonouz, Dvir Aran	2026	arxiv 2602.18507
Laplacian Multi-scale Flow Matching for Generative Modeling	Zelin Zhao, Petr Molodyk, Haotian Xue	2026	arxiv 2602.19461
Trilinear Compute-in-Memory Architecture for Energy-Efficient Transformer Acceleration	Md Zesun Ahmed Mia, Jiahui Duan, Kai Ni	2026	arxiv 2604.07628
Weak-to-Strong Knowledge Distillation Accelerates Visual Learning	Baiang Li, Wenhao Chai, Felix Heide	2026	arxiv 2604.15451
Expanding the Role of Diffusion Models for Robust Classifier Training	Pin-Han Huang, Shang-Tse Chen, Hsuan-Tien Lin	2026	arxiv 2602.19931
Knowledge Distillation for Visual Autoregressive Models	Elia Peruzzo, Aritra Bhowmik, Guillaume Sautiere	2026	arxiv 2606.06078
HCL-FF: Hierarchical and Contrastive Learning for Forward-Forward Algorithm	Jie-En Yao, Hong-En Chen, C.-C. Jay Kuo	2026	arxiv 2605.24797

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