Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Scaling Laws for Galaxy Images	Mike Walmsley, Micah Bowles, Anna M.M. Scaife	2024	arxiv 2404.02973
Improving Generalization via Meta-Learning on Hard Samples	Nishant Jain, Arun S. Suggala, Pradeep Shenoy	2024	arxiv 2403.12236
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification	Benjamin Feuer, Jiawei Xu, Niv Cohen	2024	arxiv 2410.05057
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features	Neha Kalibhat, Kanika Narang, Hamed Firooz	2022	arxiv 2203.01881
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models	Fanfei Li, Thomas Klein, Wieland Brendel	2025	arxiv 2506.16950
Did Models Learn Sufficiently? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation	Yannan Chen, Ruoyu Chen, Wei Wang	2025	arxiv 2511.12100
Cross-Domain Knowledge Transfer for Underwater Acoustic Classification Using Pre-trained Models	Amirmohammad Mohammadi, Tejashri Kelhe, Davelle Carreiro	2024	arxiv 2409.13878
Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions	Sebastian Bujwid, Josephine Sullivan	2021	arxiv 2103.09669
Visualizing and Understanding Convolutional Networks	Matthew D Zeiler, Rob Fergus	2013	arxiv 1311.2901
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation	Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman	2022	arxiv 2211.11116
Impact of Scaled Image on Robustness of Deep Neural Networks	Chengyin Hu, Weiwen Shi	2022	arxiv 2209.02132
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers	Francesco Croce, Matthias Hein	2021	arxiv 2105.12508
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains	Eunsu Baek, Keondo Park, Jiyoon Kim	2024	arxiv 2404.15882
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations	Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson	2021	arxiv 2104.14548
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers	Zhenglin Huang, Xiaoan Bao, Na Zhang	2023	arxiv 2310.04780
Instance-Conditioned GAN	Arantxa Casanova, Marlène Careil, Jakob Verbeek	2021	arxiv 2109.05070
Local Manifold Augmentation for Multiview Semantic Consistency	Yu Yang, Wing Yin Cheung, Chang Liu	2022	arxiv 2211.02798
Fully Attentional Networks with Self-emerging Token Labeling	Bingyin Zhao, Zhiding Yu, Shiyi Lan	2024	arxiv 2401.03844
Deep Residual Learning for Image Recognition	Kaiming He, Xiangyu Zhang, Shaoqing Ren	2015	arxiv 1512.03385
A Tilted Seesaw: Revisiting Autoencoder Trade-off for Controllable Diffusion	Pu Cao, Yiyang Ma, Feng Zhou	2026	arxiv 2601.21633

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