Research

Papers for “imagenet”

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

Title	Authors	Year	Source
DAP: Detection-Aware Pre-training with Weak Supervision	Yuanyi Zhong, Jianfeng Wang, Lijuan Wang	2021	arxiv 2103.16651
Adversarial Examples Make Strong Poisons	Liam Fowl, Micah Goldblum, Ping-yeh Chiang	2021	arxiv 2106.10807
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)	Alex Fang, Gabriel Ilharco, Mitchell Wortsman	2022	arxiv 2205.01397
Pushing the Efficiency Limit Using Structured Sparse Convolutions	Vinay Kumar Verma, Nikhil Mehta, Shijing Si	2022	arxiv 2210.12818
An Adaptive Plug-and-Play Network for Few-Shot Learning	Hao Li, Li Li, Yunmeng Huang	2023	arxiv 2302.09326
Make RepVGG Greater Again: A Quantization-aware Approach	Xiangxiang Chu, Liang Li, Bo Zhang	2022	arxiv 2212.01593
Conditional Image Generation with PixelCNN Decoders	Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals	2016	arxiv 1606.05328
Object-level Self-Distillation for Vision Pretraining	Çağlar H\izl\i, Çağatay Y\ild\iz, Pekka Marttinen	2025	arxiv 2506.05409
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?	DoYoung Kim, Jin-Seop Lee, Noo-ri Kim	2025	arxiv 2511.17633
Energy-Efficient Vision Transformer Inference for Edge-AI Deployment	Nursultan Amanzhol, Jurn-Gyu Park	2025	arxiv 2511.23166
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations	Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson	2020	arxiv 2012.04630
Learnable Heterogeneous Convolution: Learning both topology and strength	Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang	2023	arxiv 2301.05440
Evolving Evocative 2D Views of Generated 3D Objects	Eric Chu	2021	arxiv 2111.04839
Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks	Terrance DeVries, Dhanesh Ramachandram	2017	arxiv 1703.01402
Long-Short Transformer: Efficient Transformers for Language and Vision	Chen Zhu, Wei Ping, Chaowei Xiao	2021	arxiv 2107.02192
Cyclic Differentiable Architecture Search	Hongyuan Yu, Houwen Peng, Yan Huang	2020	arxiv 2006.10724
Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work	Nizar Massouh, Francesca Babiloni, Tatiana Tommasi	2017	arxiv 1702.08513
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs	Yifan Yang, Qijing Huang, Bichen Wu	2018	arxiv 1811.08634
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search	Jiemin Fang, Yuzhu Sun, Qian Zhang	2020	arxiv 2006.12986
MEAL: Multi-Model Ensemble via Adversarial Learning	Zhiqiang Shen, Zhankui He, Xiangyang Xue	2018	arxiv 1812.02425

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