Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification	Iván de Andrés Tamé, Kirill Sirotkin, Pablo Carballeira	2023	arxiv 2301.10687
Improved Vector Quantized Diffusion Models	Zhicong Tang, Shuyang Gu, Jianmin Bao	2022	arxiv 2205.16007
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness	Francesco Pinto, Harry Yang, Ser-Nam Lim	2022	arxiv 2206.14502
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving	Martin Feder, Michal Horovitz, Assaf Chen	2023	arxiv 2303.00364
A picture of the space of typical learnable tasks	Rahul Ramesh, Jialin Mao, Itay Griniasty	2022	arxiv 2210.17011
Rethinking Mobile Block for Efficient Attention-based Models	Jiangning Zhang, Xiangtai Li, Jian Li	2023	arxiv 2301.01146
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics	Jiacheng Zhu, Jielin Qiu, Aritra Guha	2023	arxiv 2302.02092
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks	Lennart Brocki, Neo Christopher Chung	2022	arxiv 2203.02928
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement	Kai Xu, Rongyu Chen, Gianni Franchi	2023	arxiv 2310.00227
Structural Adversarial Objectives for Self-Supervised Representation Learning	Xiao Zhang, Michael Maire	2023	arxiv 2310.00357
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters	Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu	2023	arxiv 2310.07361
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning	Jayateja Kalla, Soma Biswas	2023	arxiv 2311.01227
Window Attention is Bugged: How not to Interpolate Position Embeddings	Daniel Bolya, Chaitanya Ryali, Judy Hoffman	2023	arxiv 2311.05613
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model	Raphael Schäfer, Till Nicke, Henning Höfener	2023	arxiv 2311.09847
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning	Jiantao Wu, Shentong Mo, Sara Atito	2023	arxiv 2312.01118
MOODv2: Masked Image Modeling for Out-of-Distribution Detection	Jingyao Li, Pengguang Chen, Shaozuo Yu	2024	arxiv 2401.02611
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning	Momin Abbas, Quan Xiao, Lisha Chen	2022	arxiv 2206.03996
Random Binary Mappings for Kernel Learning and Efficient SVM	Gemma Roig, Xavier Boix, Luc Van Gool	2013	arxiv 1307.5161
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification	Fa Wu, Peijun Hu, Dexing Kong	2015	arxiv 1507.08754
Accelerating Very Deep Convolutional Networks for Classification and Detection	Xiangyu Zhang, Jianhua Zou, Kaiming He	2015	arxiv 1505.06798

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