Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack	Nicole Meng, Caleb Manicke, David Chen	2024	arxiv 2411.12071
Multimodal Autoregressive Pre-training of Large Vision Encoders	Enrico Fini, Mustafa Shukor, Xiujun Li	2024	arxiv 2411.14402
The Master Key Filters Hypothesis: Deep Filters Are General	Zahra Babaiee, Peyman M. Kiasari, Daniela Rus	2024	arxiv 2412.16751
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation	Michele De Vita, Vasileios Belagiannis	2024	arxiv 2412.00205
BD-KD: Balancing the Divergences for Online Knowledge Distillation	Ibtihel Amara, Nazanin Sepahvand, Brett H. Meyer	2022	arxiv 2212.12965
LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging	Shubhr Singh, Emmanouil Benetos, Huy Phan	2025	arxiv 2501.03464
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures	Luis Lara, Lucia Eve Berger, Rajesh Raju	2025	arxiv 2502.16622
Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes	Hiroaki Maeshima, Akira Otsuka	2024	arxiv 2403.01896
The Difficulty of Training Sparse Neural Networks	Utku Evci, Fabian Pedregosa, Aidan Gomez	2019	arxiv 1906.10732
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels	Xiangwei Shi, Seyran Khademi, Yunqiang Li	2020	arxiv 2010.08644
Confusable Learning for Large-class Few-Shot Classification	Bingcong Li, Bo Han, Zhuowei Wang	2020	arxiv 2011.03154
Multi-objective Neural Architecture Search with Almost No Training	Shengran Hu, Ran Cheng, Cheng He	2020	arxiv 2011.13591
Blind Backdoors in Deep Learning Models	Eugene Bagdasaryan, Vitaly Shmatikov	2020	arxiv 2005.03823
Towards Speeding up Adversarial Training in Latent Spaces	Yaguan Qian, Qiqi Shao, Tengteng Yao	2021	arxiv 2102.00662
RepVGG: Making VGG-style ConvNets Great Again	Xiaohan Ding, Xiangyu Zhang, Ningning Ma	2021	arxiv 2101.03697
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts	Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu	2018	arxiv 1802.00912
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning	Zhaowei Cai, Avinash Ravichandran, Subhransu Maji	2021	arxiv 2101.08482
Contrastive Representation Learning for Hand Shape Estimation	Christian Zimmermann, Max Argus, Thomas Brox	2021	arxiv 2106.04324
Fractal Pyramid Networks	Zhiqiang Deng, Huimin Yu, Yangqi Long	2021	arxiv 2106.14694
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism	Ioanna Gkartzonika, Nikolaos Gkalelis, Vasileios Mezaris	2022	arxiv 2209.11189

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