Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution	Zhang Zhaoyang, Shao Wenqi, Gu Jinwei	2021	arxiv 2106.02295
Understanding Gender and Racial Disparities in Image Recognition Models	Rohan Mahadev, Anindya Chakravarti	2021	arxiv 2107.09211
Representation Consolidation for Training Expert Students	Zhizhong Li, Avinash Ravichandran, Charless Fowlkes	2021	arxiv 2107.08039
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks	Seungyong Moon, Gaon An, Hyun Oh Song	2021	arxiv 2112.05634
Deep learning and hand-crafted features for virus image classification	Loris Nanni, Eugenio De Luca, Marco Ludovico Facin	2020	arxiv 2011.06123
Lossless Compression with Latent Variable Models	James Townsend	2021	arxiv 2104.10544
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning	Tao Zhang, Wu Huang	2023	arxiv 2305.18970
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance	Giung Nam, Byeongho Heo, Juho Lee	2024	arxiv 2404.00860
PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-based 3D Object Detection	Weixin Mao, Tiancai Wang, Diankun Zhang	2023	arxiv 2311.17770
CNN features are also great at unsupervised classification	Joris Guérin, Olivier Gibaru, Stéphane Thiery	2017	arxiv 1707.01700
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images	Rewon Child	2020	arxiv 2011.10650
Rainbow Memory: Continual Learning with a Memory of Diverse Samples	Jihwan Bang, Heesu Kim, YoungJoon Yoo	2021	arxiv 2103.17230
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes	Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott	2020	arxiv 2007.07210
Vision Transformer Pruning	Mingjian Zhu, Yehui Tang, Kai Han	2021	arxiv 2104.08500
Hypernetwork-Based Augmentation	Chih-Yang Chen, Che-Han Chang	2020	arxiv 2006.06320
Learning Decision Trees Recurrently Through Communication	Stephan Alaniz, Diego Marcos, Bernt Schiele	2019	arxiv 1902.01780
Training independent subnetworks for robust prediction	Marton Havasi, Rodolphe Jenatton, Stanislav Fort	2020	arxiv 2010.06610
Exploiting Features with Split-and-Share Module	Jaemin Lee, Minseok Seo, Jongchan Park	2021	arxiv 2108.04500
Demystifying and Generalizing BinaryConnect	Tim Dockhorn, Yaoliang Yu, Eyyüb Sari	2021	arxiv 2110.13220
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study	Ananya Karthik, Mike Wu, Noah Goodman	2021	arxiv 2112.05340

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