Research

Papers for “imagenet”

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

Title	Authors	Year	Source
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks	Yang Wang, Bo Dong, Ke Xu	2023	arxiv 2310.06468
Image Credibility Analysis with Effective Domain Transferred Deep Networks	Zhiwei Jin, Juan Cao, Jiebo Luo	2016	arxiv 1611.05328
Dataset Distillation as Pushforward Optimal Quantization	Hong Ye Tan, Emma Slade	2025	arxiv 2501.07681
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches	Guangrun Wang, Jiefeng Peng, Ping Luo	2018	arxiv 1802.03133
Prioritized Architecture Sampling with Monto-Carlo Tree Search	Xiu Su, Tao Huang, Yanxi Li	2021	arxiv 2103.11922
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification	Oren Nuriel, Sagie Benaim, Lior Wolf	2020	arxiv 2010.05785
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search	Lotfi Abdelkrim Mecharbat, Ibrahim Almakky, Martin Takac	2025	arxiv 2504.15865
EAD: An EEG Adapter for Automated Classification	Pushapdeep Singh, Jyoti Nigam, Medicherla Vamsi Krishna	2025	arxiv 2505.23107
SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery	Nora Gourmelon, Marcel Dreier, Martin Mayr	2025	arxiv 2507.01747
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials	Yifan Pu, Jixuan Ying, Qixiu Li	2025	arxiv 2511.00833
UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective	Furui Xu, Shaobo Wang, Jiajun Zhang	2025	arxiv 2511.12988
Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning	Yuxuan Gu, Weimin Bai, Yifei Wang	2025	arxiv 2511.15190
Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning	Yunfeng Zhao, Huiyu Zhou, Fei Wu	2024	arxiv 2407.20600
Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers	Mark Horton, Tergel Molom-Ochir, Peter Liu	2025	arxiv 2502.01770
Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models	Zekun Wang, Anant Gupta, Zihan Dong	2025	arxiv 2509.23593
GCond: Gradient Conflict Resolution via Accumulation-based Stabilization for Large-Scale Multi-Task Learning	Evgeny Alves Limarenko, Anastasiia Studenikina, Svetlana Illarionova	2025	arxiv 2509.07252
A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images	Yuan Fang, Yuanzhi Cai, Jagannath Aryal	2026	arxiv 2604.27704
Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective	Rui Huang, Shitong Shao, Zikai Zhou	2025	arxiv 2507.05914
Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation	Xuwang Yin, Claire Zhang, Julie Steele	2025	arxiv 2510.13872
CoSeP: Complementary Separability Pruning via Class-Separability Clustering	David Levin, Gonen Singer	2025	arxiv 2505.13225

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