Research

Papers for “imagenet”

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

Title	Authors	Year	Source
A Dataset is Worth 1 MB	Elad Kimchi Shoshani, Leeyam Gabay, Yedid Hoshen	2026	arxiv 2602.23358
Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization	Muhammad J. Alahmadi, Peng Gao, Feiyi Wang	2026	arxiv 2602.15277
Cognitive Alignment At No Cost: Inducing Human Attention Biases For Interpretable Vision Transformers	Ethan Knights	2026	arxiv 2604.20027
No Forgetting Learning: Buffer-free Continual Learning Classification	Mohammad Ali Vahedifar, Qi Zhang	2025	arxiv 2503.04638
Representation Alignment for Just Image Transformers is not Easier than You Think	Jaeyo Shin, Jiwook Kim, Hyunjung Shim	2026	arxiv 2603.14366
Low-Cost Hard-Label Adversarial Attack with Theoretical Foundations	Jun Liu, Leo Yu Zhang, Fengpeng Li	2026	arxiv 2601.14300
Vision Transformers Need Better Token Interaction	Linxiang Su	2026	arxiv 2605.23868
Entropy-Guided Self-Supervised Learning for Medical Image Classification	Joao Florindo, Viviane Moura	2026	arxiv 2605.21970
MAPS: A Synthetic Dataset for Probing Vision Models in a Controlled 3D Scene Space	Santiago Galella, Pamela Osuna-Vargas, Maren Wehrheim	2026	arxiv 2605.20549
VLM-Aware Meta-Optic Front-End Design for Frozen Vision-Language Models	Chanik Kang, Raphaël Pestourie, Haejun Chung	2026	arxiv 2606.27646
Active Spatial Guidance: Eliminating Injected Positional Mechanisms in Vision Transformers	Cong Liu, Xiaofang Li, Simon X. Yang	2026	arxiv 2607.00580
TinySSL: Distilled Self-Supervised Pretraining for Sub-Megabyte MCU Models	Bibin Wilson	2026	arxiv 2605.08241
DIRA-SS:Dynamic Domain Incremental Regularised Adaptation -- Self-Supervised	Abanoub Ghobrial, Kerstin Eder	2023	arxiv 2311.07461
BMFA: Boundary-Minority Free-Energy Adaptive Screening	Wenyan Xu, Alizer Wong	2026	arxiv 2607.17656
WaiT for the Signal: Simple Frequency-Aware Flow-Matching	Krunoslav Lehman Pavasovic, Théophane Vallaeys, Stéphane Mallat	2026	arxiv 2607.28760
Explore the Power of Dropout on Few-shot Learning	Shaobo Lin, Xingyu Zeng, Rui Zhao	2023	arxiv 2301.11015
Towards Conceptual Compression	Karol Gregor, Frederic Besse, Danilo Jimenez Rezende	2016	arxiv 1604.08772
Mimicking Ensemble Learning with Deep Branched Networks	Byungju Kim, Youngsoo Kim, Yeakang Lee	2017	arxiv 1702.06376
VAE Learning via Stein Variational Gradient Descent	Yunchen Pu, Zhe Gan, Ricardo Henao	2017	arxiv 1704.05155
Training Convolutional Networks with Web Images	Nizar Massouh	2018	arxiv 1805.08416

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