Research

Papers for “image classification”

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

Title	Authors	Year	Source
ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks Performance	Stamatis Mastromichalakis	2020	arxiv 2012.07564
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations	Yongqiang Tian, Shiqing Ma, Ming Wen	2019	arxiv 1909.03824
Dynamic Backdoors with Global Average Pooling	Stefanos Koffas, Stjepan Picek, Mauro Conti	2022	arxiv 2203.02079
Connection Reduction of DenseNet for Image Recognition	Rui-Yang Ju, Jen-Shiun Chiang, Chih-Chia Chen	2022	arxiv 2208.01424
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets	Lorenzo Brigato, Stavroula Mougiakakou	2023	arxiv 2309.01694
SENetV2: Aggregated dense layer for channelwise and global representations	Mahendran Narayanan	2023	arxiv 2311.10807
A spectral PALM algorithm for matrix and tensor-train based Dictionary Learning	Domitilla Brandoni, Margherita Porcelli, Valeria Simoncini	2021	arxiv 2107.11644
From Maxout to Channel-Out: Encoding Information on Sparse Pathways	Qi Wang, Joseph JaJa	2013	arxiv 1312.1909
SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet	Lei Zhang, David Zhang	2015	arxiv 1506.02509
Spiking Deep Networks with LIF Neurons	Eric Hunsberger, Chris Eliasmith	2015	arxiv 1510.08829
Designing Neural Network Architectures using Reinforcement Learning	Bowen Baker, Otkrist Gupta, Nikhil Naik	2016	arxiv 1611.02167
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition	Grégoire Montavon, Sebastian Bach, Alexander Binder	2015	arxiv 1512.02479
Physical reservoir computing built by spintronic devices for temporal information processing	Wencong Jiang, Lina Chen, Kaiyuan Zhou	2019	arxiv 1901.07879
The SuperCOSMOS Sky Survey. Paper II: Image detection, parameterisation, classification and photometry	Nigel Hambly, Mike Irwin, Harvey MacGillivray (1) __INSTITUTION_3__ Wide Field Astronomy Unit IfA University of Edinburgh	2001	arxiv astro-ph/0108290
CLCC: Contrastive Learning for Color Constancy	Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu	2021	arxiv 2106.04989
Efficient ResNets: Residual Network Design	Aditya Thakur, Harish Chauhan, Nikunj Gupta	2023	arxiv 2306.12100
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning	Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino	2024	arxiv 2412.11660
Provably Improving Generalization of Few-Shot Models with Synthetic Data	Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh	2025	arxiv 2505.24190
Transferring Visual Explainability of Self-Explaining Models to Prediction-Only Models without Additional Training	Yuya Yoshikawa, Ryotaro Shimizu, Takahiro Kawashima	2025	arxiv 2507.04380
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips	Ido Galil, Moshe Kimhi, Ran El-Yaniv	2025	arxiv 2502.07408

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