Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM!	Tobias Glasmachers	2022	arxiv 2207.01016
A Data-Based Perspective on Transfer Learning	Saachi Jain, Hadi Salman, Alaa Khaddaj	2022	arxiv 2207.05739
Real-World Robot Learning with Masked Visual Pre-training	Ilija Radosavovic, Tete Xiao, Stephen James	2022	arxiv 2210.03109
SGDR: Stochastic Gradient Descent with Warm Restarts	Ilya Loshchilov, Frank Hutter	2016	arxiv 1608.03983
Bayesian Inference for Correlated Human Experts and Classifiers	Markelle Kelly, Alex Boyd, Sam Showalter	2025	arxiv 2506.05636
GViT: Representing Images as Gaussians for Visual Recognition	Jefferson Hernandez, Ruozhen He, Guha Balakrishnan	2025	arxiv 2506.23532
A Simple Baseline for Stable and Plastic Neural Networks	Étienne Künzel, Achref Jaziri, Visvanathan Ramesh	2025	arxiv 2507.10637
SAIF: Sparse Adversarial and Imperceptible Attack Framework	Tooba Imtiaz, Morgan Kohler, Jared Miller	2022	arxiv 2212.07495
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization	Xixu Hu, Runkai Zheng, Jindong Wang	2024	arxiv 2402.03317
A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning	Lantian Zhang, Mohamed Amgad, Lee A.D. Cooper (2) __INSTITUTION_3__ North Shore Country Day	2021	arxiv 2111.05882
Representational Difference Explanations	Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona	2025	arxiv 2505.23917
Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints	Zilin Kang, Chonghua Liao, Tingqiang Xu	2025	arxiv 2510.08549
Improving Rectified Flow with Boundary Conditions	Xixi Hu, Runlong Liao, Keyang Xu	2025	arxiv 2506.15864
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough	Mao Ye, Lemeng Wu, Qiang Liu	2020	arxiv 2010.15969
Information-Theoretic Visual Explanation for Black-Box Classifiers	Jihun Yi, Eunji Kim, Siwon Kim	2020	arxiv 2009.11150
Few-Example Clustering via Contrastive Learning	Minguk Jang, Sae-Young Chung	2022	arxiv 2207.04050
Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking	Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor	2019	arxiv 1910.12770
Unsupervised Learning by Predicting Noise	Piotr Bojanowski, Armand Joulin	2017	arxiv 1704.05310
DORAEMON: A Unified Library for Visual Object Modeling and Representation Learning at Scale	Ke Du, Yimin Peng, Chao Gao	2025	arxiv 2511.04394
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling	Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang	2024	arxiv 2408.09453

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