Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Combining Image Features and Patient Metadata to Enhance Transfer Learning	Spencer A. Thomas	2021	arxiv 2110.05239
A Broad Study of Pre-training for Domain Generalization and Adaptation	Donghyun Kim, Kaihong Wang, Stan Sclaroff	2022	arxiv 2203.11819
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization	Sein Park, Yeongsang Jang, Eunhyeok Park	2022	arxiv 2208.00338
Feature-level augmentation to improve robustness of deep neural networks to affine transformations	Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu	2022	arxiv 2202.05152
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks	Wenhui Wang, Hangbo Bao, Li Dong	2022	arxiv 2208.10442
Adaptive Image Transformations for Transfer-based Adversarial Attack	Zheng Yuan, Jie Zhang, Shiguang Shan	2021	arxiv 2111.13844
A Unified Framework with Meta-dropout for Few-shot Learning	Shaobo Lin, Xingyu Zeng, Rui Zhao	2022	arxiv 2210.06409
XNAS: Neural Architecture Search with Expert Advice	Niv Nayman, Asaf Noy, Tal Ridnik	2019	arxiv 1906.08031
U-Clip: On-Average Unbiased Stochastic Gradient Clipping	Bryn Elesedy, Marcus Hutter	2023	arxiv 2302.02971
Quantum Transfer Learning with Adversarial Robustness for Classification of High-Resolution Image Datasets	Amena Khatun, Muhammad Usman	2024	arxiv 2401.17009
Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models	Lilian Hollard, Lucas Mohimont, Nathalie Gaveau	2025	arxiv 2507.15798
Benchmarking Adversarial Patch Selection and Location	Shai Kimhi, Avi Mendlson, Moshe Kimhi	2025	arxiv 2508.01676
SBS: Enhancing Parameter-Efficiency of Neural Representations for Neural Networks via Spectral Bias Suppression	Qihu Xie, Yuan Li, Yi Kang	2025	arxiv 2509.07373
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models	Patrick Knab, Sascha Marton, Christian Bartelt	2024	arxiv 2403.07733
Diffusion bridges vector quantized Variational AutoEncoders	Max Cohen, Guillaume Quispe, Sylvain Le Corff	2022	arxiv 2202.04895
Efficient Neural Compression with Inference-time Decoding	C. Metz, O. Bichler, A. Dupret	2024	arxiv 2406.06237
Similarity of Neural Architectures using Adversarial Attack Transferability	Jaehui Hwang, Dongyoon Han, Byeongho Heo	2022	arxiv 2210.11407
Rotary Position Embedding for Vision Transformer	Byeongho Heo, Song Park, Dongyoon Han	2024	arxiv 2403.13298
Reduced storage direct tensor ring decomposition for convolutional neural networks compression	Mateusz Gabor, Rafa\l Zdunek	2024	arxiv 2405.10802
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning	Amy X. Lu, Alex X. Lu, Alan Moses	2020	arxiv 2012.13475

Search results