Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Resource and data efficient self supervised learning	Ozan Ciga, Tony Xu, Anne L. Martel	2021	arxiv 2109.01721
Class-Incremental Learning using Diffusion Model for Distillation and Replay	Quentin Jodelet, Xin Liu, Yin Jun Phua	2023	arxiv 2306.17560
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners	Feng Liang, Yangguang Li, Diana Marculescu	2022	arxiv 2205.14540
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings	AprilPyone MaungMaung, Isao Echizen, Hitoshi Kiya	2023	arxiv 2309.01620
Boosting Out-of-distribution Detection with Typical Features	Yao Zhu, YueFeng Chen, Chuanlong Xie	2022	arxiv 2210.04200
Scaling Vision Transformers	Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby	2021	arxiv 2106.04560
Confidence Calibration with Bounded Error Using Transformations	Sooyong Jang, Radoslav Ivanov, Insup Lee	2021	arxiv 2102.12680
Unsupervised Learning on Neural Network Outputs: with Application in Zero-shot Learning	Yao Lu	2015	arxiv 1506.00990
Single Path One-Shot Neural Architecture Search with Uniform Sampling	Zichao Guo, Xiangyu Zhang, Haoyuan Mu	2019	arxiv 1904.00420
Matching Networks for One Shot Learning	Oriol Vinyals, Charles Blundell, Timothy Lillicrap	2016	arxiv 1606.04080
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	Shuchang Zhou, Yuxin Wu, Zekun Ni	2016	arxiv 1606.06160
Dataset Distillation with Convexified Implicit Gradients	Noel Loo, Ramin Hasani, Mathias Lechner	2023	arxiv 2302.06755
Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training	Jian Wang, Xin Yang, Xiaohong Jia	2024	arxiv 2402.11497
Rethinking Image Super-Resolution from Training Data Perspectives	Go Ohtani, Ryu Tadokoro, Ryosuke Yamada	2024	arxiv 2409.00768
Improving the Scaling Laws of Synthetic Data with Deliberate Practice	Reyhane Askari-Hemmat, Mohammad Pezeshki, Elvis Dohmatob	2025	arxiv 2502.15588
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks	Anna Bair, Hongxu Yin, Maying Shen	2023	arxiv 2306.14306
AMC: AutoML for Model Compression and Acceleration on Mobile Devices	Yihui He, Ji Lin, Zhijian Liu	2018	arxiv 1802.03494
Autoregressive Pretraining with Mamba in Vision	Sucheng Ren, Xianhang Li, Haoqin Tu	2024	arxiv 2406.07537
EVA-CLIP: Improved Training Techniques for CLIP at Scale	Quan Sun, Yuxin Fang, Ledell Wu	2023	arxiv 2303.15389
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders	Qi Zhang, Yifei Wang, Yisen Wang	2022	arxiv 2210.08344

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