Research

Papers for “imagenet”

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

Title	Authors	Year	Source
PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors	Brian B. Moser, Shalini Sarode, Federico Raue	2025	arxiv 2511.09905
DiP: Taming Diffusion Models in Pixel Space	Zhennan Chen, Junwei Zhu, Xu Chen	2025	arxiv 2511.18822
CLUENet: Cluster Attention Makes Neural Networks Have Eyes	Xiangshuai Song, Jun-Jie Huang, Tianrui Liu	2025	arxiv 2512.06345
Reevaluating Automated Wildlife Species Detection: A Reproducibility Study on a Custom Image Dataset	Tobias Abraham Haider	2025	arxiv 2512.07305
Exploring possible vector systems for faster training of neural networks with preconfigured latent spaces	Nikita Gabdullin	2025	arxiv 2512.07509
HQ-DM: Single Hadamard Transformation-Based Quantization-Aware Training for Low-Bit Diffusion Models	Shizhuo Mao, Hongtao Zou, Qihu Xie	2025	arxiv 2512.05746
Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach	Chunheng Zhao, Pierluigi Pisu, Gurcan Comert	2024	arxiv 2412.20025
Domain Specific Approximation for Object Detection	Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern	2018	arxiv 1810.02010
ActMAD: Activation Matching to Align Distributions for Test-Time-Training	Muhammad Jehanzeb Mirza, Pol Jané Soneira, Wei Lin	2022	arxiv 2211.12870
RobArch: Designing Robust Architectures against Adversarial Attacks	ShengYun Peng, Weilin Xu, Cory Cornelius	2023	arxiv 2301.03110
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks	Youngeun Kim, Yuhang Li, Abhishek Moitra	2023	arxiv 2305.18360
StraIT: Non-autoregressive Generation with Stratified Image Transformer	Shengju Qian, Huiwen Chang, Yuanzhen Li	2023	arxiv 2303.00750
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices	Salah Ghamizi, Maxime Cordy, Michail Papadakis	2022	arxiv 2212.08130
Scaling Forward Gradient With Local Losses	Mengye Ren, Simon Kornblith, Renjie Liao	2022	arxiv 2210.03310
Detecting Backdoors in Pre-trained Encoders	Shiwei Feng, Guanhong Tao, Siyuan Cheng	2023	arxiv 2303.15180
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations	Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras	2023	arxiv 2306.01900
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks	Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh	2024	arxiv 2402.19460
CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features	Po-han Li, Sandeep P. Chinchali, Ufuk Topcu	2024	arxiv 2410.07610
Pulling Back the Curtain: Unsupervised Adversarial Detection via Contrastive Auxiliary Networks	Eylon Mizrahi, Raz Lapid, Moshe Sipper	2025	arxiv 2502.09110
Disentangling Polysemantic Neurons with a Null-Calibrated Polysemanticity Index and Causal Patch Interventions	Manan Gupta, Dhruv Kumar	2025	arxiv 2508.16950

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