Research

Papers for “imagenet”

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

Title	Authors	Year	Source
ASTER: Attention-based Spiking Transformer Engine for Event-driven Reasoning	Tamoghno Das, Khanh Phan Vu, Hanning Chen	2025	arxiv 2511.06770
CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation	Letian Zhou, Songhua Liu, Xinchao Wang	2025	arxiv 2512.03844
A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification	Jack Breen, Katie Allen, Kieran Zucker	2024	arxiv 2405.09990
An Image is Worth 32 Tokens for Reconstruction and Generation	Qihang Yu, Mark Weber, Xueqing Deng	2024	arxiv 2406.07550
DNAD: Differentiable Neural Architecture Distillation	Xuan Rao, Bo Zhao, Derong Liu	2025	arxiv 2504.20080
NADD: Amplifying Noise for Effective Diffusion-based Adversarial Purification	David D. Nguyen, The-Anh Ta, Yansong Gao	2026	arxiv 2601.01109
HEART-VIT: Hessian-Guided Efficient Dynamic Attention and Token Pruning in Vision Transformer	Mohammad Helal Uddin, Liam Seymour, Sabur Baidya	2025	arxiv 2512.20120
A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism	Yu Xue, Pengcheng Jiang, Chenchen Zhu	2024	arxiv 2407.15600
Gated-SwinRMT: Unifying Swin Windowed Attention with Retentive Manhattan Decay via Input-Dependent Gating	Dipan Maity, Suman Mondal, Arindam Roy	2026	arxiv 2604.06014
Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance	Hamed Ouattara, Pierre Duthon, Pascal Houssam Salmane	2026	arxiv 2604.16086
Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis	Umar Marikkar, Muhammad Awais, Sara Atito	2026	arxiv 2603.15774
Alternating Gradient Flow Utility: A Unified Metric for Structural Pruning and Dynamic Routing in Deep Networks	Tianhao Qian, Zhuoxuan Li, Jinde Cao	2026	arxiv 2603.12354
Post Training Quantization for Efficient Dataset Condensation	Linh-Tam Tran, Sung-Ho Bae	2026	arxiv 2603.13346
One Pool Is Not Enough: Multi-Cluster Memory for Practical Test-Time Adaptation	Yu-Wen Tseng, Xingyi Zheng, Ya-Chen Wu	2026	arxiv 2603.21135
Mitigating the ID-OOD Tradeoff in Open-Set Test-Time Adaptation	Wenjie Zhao, Jia Li, Xin Dong	2026	arxiv 2604.01589
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples	Nuo Xu, Kaleel Mahmood, Haowen Fang	2022	arxiv 2209.03358
Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models	Zhipeng Ye, Jiaqi Huang, Feng Jiang	2026	arxiv 2605.24799
FACT: A Simple and Efficient Framework for Active Finetuning	Wenshuai Xu, You Song, Yuzhuo Cui	2026	arxiv 2606.02079
Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation	Jiayi Xu, Di He, Guolin Ke	2026	arxiv 2606.27978
Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning	Augustinas Jučas, Yangchen Pan	2026	arxiv 2606.27095

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