Research

Papers for “imagenet”

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

Title	Authors	Year	Source
QLABGrad: a Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning	Minghan Fu, Fang-Xiang Wu	2023	arxiv 2302.00252
CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner	Cheng Luo, Lei Qu, Youshan Miao	2021	arxiv 2103.07974
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles	Jevgenij Gamper, Nasir Rajpoot	2021	arxiv 2103.05121
PatchNet -- Short-range Template Matching for Efficient Video Processing	Huizi Mao, Sibo Zhu, Song Han	2021	arxiv 2103.07371
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise	Jannik Schmitt, Stefan Roth	2021	arxiv 2103.08497
Temporal Feature Networks for CNN based Object Detection	Michael Weber, Tassilo Wald, J. Marius Zöllner	2021	arxiv 2103.12213
Revisiting Document Representations for Large-Scale Zero-Shot Learning	Jihyung Kil, Wei-Lun Chao	2021	arxiv 2104.10355
Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection	Nguyen Manh Duc Tuan, Pham Quang Nhat Minh	2021	arxiv 2104.11476
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models	Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina	2021	arxiv 2105.08127
Image Super-Resolution via Iterative Refinement	Chitwan Saharia, Jonathan Ho, William Chan	2021	arxiv 2104.07636
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification	Sajjad Amini, Mohammadreza Teymoorianfard, Shiqing Ma	2024	arxiv 2406.05927
Data or Language Supervision: What Makes CLIP Better than DINO?	Yiming Liu, Yuhui Zhang, Dhruba Ghosh	2025	arxiv 2510.11835
Do Satellite Tasks Need Special Pretraining?	Ani Vanyan, Alvard Barseghyan, Hakob Tamazyan	2025	arxiv 2510.17014
Human Aligned Compression for Robust Models	Samuel Räber, Andreas Plesner, Till Aczel	2025	arxiv 2504.12255
Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback	Jacob Fein-Ashley, Rajgopal Kannan, Viktor Prasanna	2024	arxiv 2412.17737
Mean Flows for One-step Generative Modeling	Zhengyang Geng, Mingyang Deng, Xingjian Bai	2025	arxiv 2505.13447
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization	Chengli Tan, Yubo Zhou, Haishan Ye	2025	arxiv 2505.23866
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency	Jun Huang, Yan Liu	2024	arxiv 2404.15564
Feature compression is the root cause of adversarial fragility in neural network classifiers	Jingchao Gao, Ziqing Lu, Raghu Mudumbai	2024	arxiv 2406.16200
Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models	Zhenxiang Lin, Maryam Haghighat, Will Browne	2025	arxiv 2511.22019

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