Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips	Ido Galil, Moshe Kimhi, Ran El-Yaniv	2025	arxiv 2502.07408
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks	Jia Chengyu, AprilPyone MaungMaung, Huy H. Nguyen	2026	arxiv 2604.04473
gen2seg: Generative Models Enable Generalizable Instance Segmentation	Om Khangaonkar, Hamed Pirsiavash	2025	arxiv 2505.15263
Discrete Cosine Transform Based Decorrelated Attention for Vision Transformers	Hongyi Pan, Emadeldeen Hamdan, Xin Zhu	2024	arxiv 2405.13901
Representation Fr\'echet Loss for Visual Generation	Jiawei Yang, Zhengyang Geng, Xuan Ju	2026	arxiv 2604.28190
TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts	Jeimin Jeon, Hyunju Lee, Bumsub Ham	2026	arxiv 2605.07256
SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation	Shufan Li, Jiuxiang Gu, Kangning Liu	2026	arxiv 2603.15150
Mamba2D: A Natively Multi-Dimensional State-Space Model for Vision Tasks	Enis Baty, Alejandro Hernández Díaz, Rebecca Davidson	2024	arxiv 2412.16146
A Markovian View of Iterative-Feedback Loops in Image Generative Models: Neural Resonance and Model Collapse	Vibhas Kumar Vats, David J. Crandall, Samuel Goree	2026	arxiv 2602.19033
Latent Denoising Makes Good Tokenizers	Jiawei Yang, Tianhong Li, Lijie Fan	2025	arxiv 2507.15856
Test-Time Modification: Inverse Domain Transformation for Robust Perception	Arpit Jadon, Joshua Niemeijer, Yuki M. Asano	2025	arxiv 2512.13454
Scale Space Diffusion	Soumik Mukhopadhyay, Prateksha Udhayanan, Abhinav Shrivastava	2026	arxiv 2603.08709
P$^2$HCT: Plug-and-Play Hierarchical C2F Transformer for Multi-Scale Feature Fusion	Junyi Hu, Tian Bai, Fengyi Wu	2025	arxiv 2505.12772
Let the Abyss Stare Back Adaptive Falsification for Autonomous Scientific Discovery	Peiran Li, Fangzhou Lin, Shuo Xing	2026	arxiv 2603.29045
Posterior Continuation with Noise-Conditioned Frequency Exposure for Diffusion Inverse Problems	Feng Tian, Yixuan Li, Weili Zeng	2026	arxiv 2602.00176
Continual Learning with Support Boundary Experience Blending	Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen	2025	arxiv 2507.23534
A New Framework to Analyse the Distributional Robustness of Deep Neural Networks	Divij Khaitan, Subhashis Banerjee	2026	arxiv 2605.21313
Recursive Block-Diagonal Coupling for Resource-Efficient Training of Vision Models	Maxim Henry, Adrien Deliège, Sébastien Piérard	2026	arxiv 2605.23656
Evidence-Guided Unknown Rejection for High-Confidence Near-Known Unknowns	Xi Chen, Yingjun Xiao, Gang Fang (3) __INSTITUTION_3__ School of Computer Science	2026	arxiv 2605.17818
Learning To Sample From Diffusion Models Via Inverse Reinforcement Learning	Constant Bourdrez, Alexandre Vérine, Olivier Cappé	2026	arxiv 2602.08689

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