Research

Papers for “imagenet”

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

Title	Authors	Year	Source
GridMask Data Augmentation	Pengguang Chen, Shu Liu, Hengshuang Zhao	2020	arxiv 2001.04086
Do deep neural networks utilize the weight space efficiently?	Onur Can Koyun, Behçet Uğur Töreyin	2024	arxiv 2401.16438
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint	Haoyue Tang, Tian Xie, Aosong Feng	2024	arxiv 2403.10585
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration	Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho	2022	arxiv 2209.11604
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher	Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao	2024	arxiv 2405.14822
Diffusion Models without Classifier-free Guidance	Zhicong Tang, Jianmin Bao, Dong Chen	2025	arxiv 2502.12154
An Analysis of Human Alignment of Latent Diffusion Models	Lorenz Linhardt, Marco Morik, Sidney Bender	2024	arxiv 2403.08469
Multistep Distillation of Diffusion Models via Moment Matching	Tim Salimans, Thomas Mensink, Jonathan Heek	2024	arxiv 2406.04103
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking	Angelos Nalmpantis, Apostolos Panagiotopoulos, John Gkountouras	2023	arxiv 2304.06391
RadTex: Learning Efficient Radiograph Representations from Text Reports	Keegan Quigley, Miriam Cha, Ruizhi Liao	2022	arxiv 2208.03218
Predictive Inference with Feature Conformal Prediction	Jiaye Teng, Chuan Wen, Dinghuai Zhang	2022	arxiv 2210.00173
TCE: A Test-Based Approach to Measuring Calibration Error	Takuo Matsubara, Niek Tax, Richard Mudd	2023	arxiv 2306.14343
OPTIMA: Design-Space Exploration of Discharge-Based In-SRAM Computing: Quantifying Energy-Accuracy Trade-Offs	Saeed Seyedfaraji, Severin Jager, Salar Shakibhamedan	2024	arxiv 2411.06846
Explainable AI Approach using Near Misses Analysis	Eran Kaufman, Avivit levy	2024	arxiv 2411.16895
PQD: Post-training Quantization for Efficient Diffusion Models	Jiaojiao Ye, Zhen Wang, Linnan Jiang	2024	arxiv 2501.00124
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach	Nicolas Atienza, Christophe Labreuche, Johanne Cohen	2025	arxiv 2501.10202
LayerDropBack: A Universally Applicable Approach for Accelerating Training of Deep Networks	Evgeny Hershkovitch Neiterman, Gil Ben-Artzi	2024	arxiv 2412.18027
DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks	Tianqing Zhang, Kairong Yu, Jian Zhang	2025	arxiv 2502.10422
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations	Mahmoud Assran, Nicolas Ballas, Lluis Castrejon	2020	arxiv 2006.10803
CondenseNet V2: Sparse Feature Reactivation for Deep Networks	Le Yang, Haojun Jiang, Ruojin Cai	2021	arxiv 2104.04382

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