Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering	Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein	2020	arxiv 2008.10312
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup	Jang-Hyun Kim, Wonho Choo, Hyun Oh Song	2020	arxiv 2009.06962
Certified Adversarial Robustness via Randomized Smoothing	Jeremy M Cohen, Elan Rosenfeld, J. Zico Kolter	2019	arxiv 1902.02918
Adversarial Training for Free!	Ali Shafahi, Mahyar Najibi, Amin Ghiasi	2019	arxiv 1904.12843
UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio	Jiangeng Chang, Yucheng Ruan, Cui Shaoze	2022	arxiv 2204.07763
Multi-Level Contrastive Learning for Few-Shot Problems	Qing Chen, Jian Zhang	2021	arxiv 2107.07608
Transductive Few-Shot Classification on the Oblique Manifold	Guodong Qi, Huimin Yu, Zhaohui Lu	2021	arxiv 2108.04009
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA	Sung-En Chang, Yanyu Li, Mengshu Sun	2021	arxiv 2111.00155
DeformRS: Certifying Input Deformations with Randomized Smoothing	Motasem Alfarra, Adel Bibi, Naeemullah Khan	2021	arxiv 2107.00996
Training Vision Transformers with Only 2040 Images	Yun-Hao Cao, Hao Yu, Jianxin Wu	2022	arxiv 2201.10728
Collaborative Unlabeled Data Optimization	Xinyi Shang, Peng Sun, Fengyuan Liu	2025	arxiv 2505.14117
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling	Ting-Wu Chin, Ruizhou Ding, Diana Marculescu	2019	arxiv 1902.02910
Black-Box Adversarial Attack with Transferable Model-based Embedding	Zhichao Huang, Tong Zhang	2019	arxiv 1911.07140
Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology?	Amaya Gallagher-Syed, Elena Pontarini, Myles J. Lewis	2024	arxiv 2410.21560
Exploring the Limits of Deep Image Clustering using Pretrained Models	Nikolas Adaloglou, Felix Michels, Hamza Kalisch	2023	arxiv 2303.17896
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains	Yuwen Chen, Helen Zhou, Zachary C. Lipton	2023	arxiv 2311.09401
RandoMix: A mixed sample data augmentation method with multiple mixed modes	Xiaoliang Liu, Furao Shen, Jian Zhao	2022	arxiv 2205.08728
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries	Frederic Jonske, Moon Kim, Enrico Nasca	2023	arxiv 2306.17555
Improving Classifier Confidence using Lossy Label-Invariant Transformations	Sooyong Jang, Insup Lee, James Weimer	2020	arxiv 2011.04182
Can Vision Transformers Learn without Natural Images?	Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto	2021	arxiv 2103.13023

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