Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Accuracy Prediction with Non-neural Model for Neural Architecture Search	Renqian Luo, Xu Tan, Rui Wang	2020	arxiv 2007.04785
TSS: Transformation-Specific Smoothing for Robustness Certification	Linyi Li, Maurice Weber, Xiaojun Xu	2020	arxiv 2002.12398
Mixed Precision Training of Convolutional Neural Networks using Integer Operations	Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere	2018	arxiv 1802.00930
Foiling Explanations in Deep Neural Networks	Snir Vitrack Tamam, Raz Lapid, Moshe Sipper	2022	arxiv 2211.14860
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data	Haifeng Li, Xin Dou, Chao Tao	2017	arxiv 1705.10450
Two Simple Principles for Diffusion-Based Test-Time Adaptation	Kaiyu Song, Hanjiang Lai, Yan Pan	2023	arxiv 2312.05274
Language-Guided Image Tokenization for Generation	Kaiwen Zha, Lijun Yu, Alireza Fathi	2024	arxiv 2412.05796
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning	Huiping Zhuang, Run He, Kai Tong	2024	arxiv 2403.17503
TransNeXt: Robust Foveal Visual Perception for Vision Transformers	Dai Shi	2023	arxiv 2311.17132
C3: Cross-instance guided Contrastive Clustering	Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard	2022	arxiv 2211.07136
Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations	Ninnart Fuengfusin, Hakaru Tamukoh	2024	arxiv 2411.19027
Contemplating real-world object classification	Ali Borji	2021	arxiv 2103.05137
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers	Tao Tang, Changlin Li, Guangrun Wang	2022	arxiv 2210.08458
Data Filtering Networks	Alex Fang, Albin Madappally Jose, Amit Jain	2023	arxiv 2309.17425
Transitive Invariance for Self-supervised Visual Representation Learning	Xiaolong Wang, Kaiming He, Abhinav Gupta	2017	arxiv 1708.02901
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining	Xincheng Yao, Yan Luo, Zefeng Qian	2025	arxiv 2511.05245
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models	Chenglin Yang, Siyuan Qiao, Qihang Yu	2022	arxiv 2210.01820
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders	Shengbang Tong, Boyang Zheng, Ziteng Wang	2026	arxiv 2601.16208
BiGain: Unified Token Compression for Joint Generation and Classification	Jiacheng Liu, Shengkun Tang, Jiacheng Cui	2026	arxiv 2603.12240
Task Relevance Is Not Local Replaceability: A Two-Axis View of Channel Information	Houman Safaai, Andrew T. Landau, Celia C. Beron	2026	arxiv 2605.07086

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