Research

Papers for “imagenet”

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

Title	Authors	Year	Source
EdgeFool: An Adversarial Image Enhancement Filter	Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro	2019	arxiv 1910.12227
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks	Sambhav R. Jain, Albert Gural, Michael Wu	2019	arxiv 1903.08066
Rethinking the Route Towards Weakly Supervised Object Localization	Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu	2020	arxiv 2002.11359
Weight Pruning via Adaptive Sparsity Loss	George Retsinas, Athena Elafrou, Georgios Goumas	2020	arxiv 2006.02768
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks	Wei Wen, Feng Yan, Yiran Chen	2019	arxiv 1906.02909
Least squares binary quantization of neural networks	Hadi Pouransari, Zhucheng Tu, Oncel Tuzel	2020	arxiv 2001.02786
WeightNet: Revisiting the Design Space of Weight Networks	Ningning Ma, Xiangyu Zhang, Jiawei Huang	2020	arxiv 2007.11823
BREEDS: Benchmarks for Subpopulation Shift	Shibani Santurkar, Dimitris Tsipras, Aleksander Madry	2020	arxiv 2008.04859
A Simple Domain Shifting Networkfor Generating Low Quality Images	Guruprasad Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota	2020	arxiv 2006.16621
REMIND Your Neural Network to Prevent Catastrophic Forgetting	Tyler L. Hayes, Kushal Kafle, Robik Shrestha	2019	arxiv 1910.02509
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability	Utku Ozbulak, Jonathan Peck, Wesley De Neve	2020	arxiv 2007.03198
Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble	Byeongjo Kim, Chanran Kim, Jaehoon Lee	2020	arxiv 2007.07805
Extending and Analyzing Self-Supervised Learning Across Domains	Bram Wallace, Bharath Hariharan	2020	arxiv 2004.11992
Cascaded channel pruning using hierarchical self-distillation	Roy Miles, Krystian Mikolajczyk	2020	arxiv 2008.06814
CondConv: Conditionally Parameterized Convolutions for Efficient Inference	Brandon Yang, Gabriel Bender, Quoc V. Le	2019	arxiv 1904.04971
AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning	Akash Roy	2020	arxiv 2008.12995
Joint Pruning & Quantization for Extremely Sparse Neural Networks	Po-Hsiang Yu, Sih-Sian Wu, Jan P. Klopp	2020	arxiv 2010.01892
Meta-Consolidation for Continual Learning	K J Joseph, Vineeth N Balasubramanian	2020	arxiv 2010.00352
CrypTFlow2: Practical 2-Party Secure Inference	Deevashwer Rathee, Mayank Rathee, Nishant Kumar	2020	arxiv 2010.06457
Adversarial Examples Are a Natural Consequence of Test Error in Noise	Nic Ford, Justin Gilmer, Nicolas Carlini	2019	arxiv 1901.10513

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