Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching	Ruonan Yu, Songhua Liu, Jingwen Ye	2024	arxiv 2410.07579
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation	Kun Zhang, Rui Wu, Ping Yao	2020	arxiv 2012.07101
VOLO: Vision Outlooker for Visual Recognition	Li Yuan, Qibin Hou, Zihang Jiang	2021	arxiv 2106.13112
giMLPs: Gate with Inhibition Mechanism in MLPs	Cheng Kang, Jindich Prokop, Lei Tong	2022	arxiv 2208.00929
Which models are innately best at uncertainty estimation?	Ido Galil, Mohammed Dabbah, Ran El-Yaniv	2022	arxiv 2206.02152
Crystal Growth Characterization of WSe$_2$ Thin Film Using Machine Learning	Isaiah A. Moses, Chengyin Wu, Wesley F. Reinhart	2023	arxiv 2312.14311
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator	Kaiwen Zheng, Yongxin Chen, Huayu Chen	2025	arxiv 2503.01103
Variational Supervised Contrastive Learning	Ziwen Wang, Jiajun Fan, Thao Nguyen	2025	arxiv 2506.07413
Thicker and Quicker: A Jumbo Token for Fast Plain Vision Transformers	Anthony Fuller, Yousef Yassin, Daniel G. Kyrollos	2025	arxiv 2502.15021
Setting-Matched and Semantics-Scaled Benchmarking of One-Step Generative Models Against Multistep Diffusion and Flow Models	Advaith Ravishankar, Serena Liu, Mingyang Wang	2026	arxiv 2603.14186
Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data	Haresh Rengaraj Rajamohan, Yuxuan Chen, Kyunghyun Cho	2026	arxiv 2603.24903
Do Vision Models Encode Object-Level Semantic Relatedness? A Cognitive Psychology-Inspired Benchmark	Hansang Lee, Haeil Lee, Junmo Kim	2017	arxiv 1709.03806
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?	A. Emin Orhan	2021	arxiv 2109.11523
Masked Contrastive Representation Learning	Yuchong Yao, Nandakishor Desai, Marimuthu Palaniswami	2022	arxiv 2211.06012
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models	Kaiyue Wen, Jiaye Teng, Jingzhao Zhang	2022	arxiv 2206.00501
Taxonomic Class Incremental Learning	Yuzhao Chen, Zonghuan Li, Zhiyuan Hu	2023	arxiv 2304.05547
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language	Alexei Baevski, Arun Babu, Wei-Ning Hsu	2022	arxiv 2212.07525
Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer Learning	Dina B. Efremova, Mangalam Sankupellay, Dmitry A. Konovalov	2019	arxiv 1909.07526
Automatic Pruning for Quantized Neural Networks	Luis Guerra, Bohan Zhuang, Ian Reid	2020	arxiv 2002.00523
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark	Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov	2019	arxiv 1910.04867

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