Research

Papers for “imagenet”

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

Title	Authors	Year	Source
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?	Hong-Yu Zhou, Chixiang Lu, Sibei Yang	2021	arxiv 2108.05305
Visually Grounded Reasoning across Languages and Cultures	Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti	2021	arxiv 2109.13238
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead	Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski	2021	arxiv 2110.07043
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks	Curtis G. Northcutt, Anish Athalye, Jonas Mueller	2021	arxiv 2103.14749
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing	Joonhyung Park, June Yong Yang, Jinwoo Shin	2021	arxiv 2112.08796
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning	Zhiqiang Shen, Zechun Liu, Zhuang Liu	2020	arxiv 2003.05438
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data	Samarth Mishra, Rameswar Panda, Cheng Perng Phoo	2021	arxiv 2112.00054
Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception Systems	Yiannis Kantaros, Taylor Carpenter, Kaustubh Sridhar	2020	arxiv 2002.09792
Boosting Binary Neural Networks via Dynamic Thresholds Learning	Jiehua Zhang, Xueyang Zhang, Zhuo Su	2022	arxiv 2211.02292
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images	Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen	2022	arxiv 2205.11474
How explainable are adversarially-robust CNNs?	Mehdi Nourelahi, Lars Kotthoff, Peijie Chen	2022	arxiv 2205.13042
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy	Zhezhi He, Boqing Gong, Deliang Fan	2018	arxiv 1807.07948
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM	Shaokai Ye, Xiaoyu Feng, Tianyun Zhang	2019	arxiv 1903.09769
Maintaining Discrimination and Fairness in Class Incremental Learning	Bowen Zhao, Xi Xiao, Guojun Gan	2019	arxiv 1911.07053
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation	Alexander Levine, Soheil Feizi	2019	arxiv 1911.09272
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics	Simon Jenni, Hailin Jin, Paolo Favaro	2020	arxiv 2004.02331
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks	Sanchari Sen, Balaraman Ravindran, Anand Raghunathan	2020	arxiv 2004.10162
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy	Tianzhe Wang, Kuan Wang, Han Cai	2020	arxiv 2006.08509
Dragoon: Private Decentralized HITs Made Practical	Yuan Lu, Qiang Tang, Guiling Wang	2020	arxiv 2003.10074
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers	Manuele Rusci, Marco Fariselli, Alessandro Capotondi	2020	arxiv 2008.05124

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