Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Beyond Output Faithfulness: Learning Attributions that Preserve Computational Pathways	Siyu Zhang, Kenneth Mcmillan	2025	arxiv 2509.04588
Decorrelated Batch Normalization	Lei Huang, Dawei Yang, Bo Lang	2018	arxiv 1804.08450
Feature Pyramid Network for Multi-Class Land Segmentation	Selim S. Seferbekov, Vladimir I. Iglovikov, Alexander V. Buslaev	2018	arxiv 1806.03510
Exploring the Vision Processing Unit as Co-processor for Inference	Sergio Rivas-Gomez, Antonio J. Peña, David Moloney	2018	arxiv 1810.04150
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm	Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen	2018	arxiv 1810.08640
Channel selection using Gumbel Softmax	Charles Herrmann, Richard Strong Bowen, Ramin Zabih	2018	arxiv 1812.04180
D-Score: A Synapse-Inspired Approach for Filter Pruning	Doyoung Park, Jinsoo Kim, Jina Nam	2023	arxiv 2308.04470
No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax	Augusto Seben da Rosa, Marlon Daniel Angeli, Jorge Aikes Junior	2024	arxiv 2409.11600
Interpretability-Guided Test-Time Adversarial Defense	Akshay Kulkarni, Tsui-Wei Weng	2024	arxiv 2409.15190
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers	Nanye Ma, Mark Goldstein, Michael S. Albergo	2024	arxiv 2401.08740
Back to the Basics on Predicting Transfer Performance	Levy Chaves, Eduardo Valle, Alceu Bissoto	2024	arxiv 2405.20420
SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning	Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite	2024	arxiv 2405.09037
Hidden Monotonicity: Explaining Deep Neural Networks via their DC Decomposition	Jakob Paul Zimmermann, Georg Loho	2026	arxiv 2601.07700
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons	Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin	2024	arxiv 2403.07688
Variational Trajectory Optimization of Anisotropic Diffusion Schedules	Pengxi Liu, Zeyu Michael Li, Xiang Cheng	2026	arxiv 2602.19512
A Transfer Learning Evaluation of Deep Neural Networks for Image Classification	Nermeen Abou Baker, Nico Zengeler, Uwe Handmann	2026	arxiv 2605.11989
Interpretability-Guided Soft Pruning of Attention Heads in Vision Transformers	Kamil Ksią\.zek, Piotr Suszyński, Micha\l Jan W\lodarczyk	2026	arxiv 2608.00264
Rethinking Data Efficiency in Industrial Dense Prediction: Pretraining Coherence, Not Inductive Bias, Determines ViTs Low-Data Advantage	Haoran Sui, Yaoyuan Jia	2026	arxiv 2608.10590
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning	Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra	2018	arxiv 1812.10240
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness	Uriya Pesso, Koby Bibas, Meir Feder	2021	arxiv 2109.01945

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