Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Solving Visual Madlibs with Multiple Cues	Tatiana Tommasi, Arun Mallya, Bryan Plummer	2016	arxiv 1608.03410
Understanding the Mechanisms of Deep Transfer Learning for Medical Images	Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani	2017	arxiv 1704.06040
Pruning Convolutional Neural Networks for Resource Efficient Inference	Pavlo Molchanov, Stephen Tyree, Tero Karras	2016	arxiv 1611.06440
Memory-Efficient Implementation of DenseNets	Geoff Pleiss, Danlu Chen, Gao Huang	2017	arxiv 1707.06990
Captioning Images with Diverse Objects	Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach	2016	arxiv 1606.07770
Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy	Anton Baryshnikov, Max Ryabinin	2023	arxiv 2310.09247
Three Towers: Flexible Contrastive Learning with Pretrained Image Models	Jannik Kossen, Mark Collier, Basil Mustafa	2023	arxiv 2305.16999
Nested Diffusion Processes for Anytime Image Generation	Noam Elata, Bahjat Kawar, Tomer Michaeli	2023	arxiv 2305.19066
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation	Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber	2023	arxiv 2311.08525
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty	Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi	2023	arxiv 2311.08309
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space	Pedro Valois, Koichiro Niinuma, Kazuhiro Fukui	2023	arxiv 2311.15022
Adversarial Robust Memory-Based Continual Learner	Xiaoyue Mi, Fan Tang, Zonghan Yang	2023	arxiv 2311.17608
Neural Priming for Sample-Efficient Adaptation	Matthew Wallingford, Vivek Ramanujan, Alex Fang	2023	arxiv 2306.10191
Optimal Data Selection: An Online Distributed View	Mariel Werner, Anastasios Angelopoulos, Stephen Bates	2022	arxiv 2201.10547
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space	Maximilian Dreyer, Frederik Pahde, Christopher J. Anders	2023	arxiv 2308.09437
Debiased Learning for Remote Sensing Data	Chun-Hsiao Yeh, Xudong Wang, Stella X. Yu	2023	arxiv 2312.15393
How Deep is Your Art: An Experimental Study on the Limits of Artistic Understanding in a Single-Task, Single-Modality Neural Network	Mahan Agha Zahedi, Niloofar Gholamrezaei, Alex Doboli	2022	arxiv 2203.16031
Scalable Pre-training of Large Autoregressive Image Models	Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai	2024	arxiv 2401.08541
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size	Junlin Liu, Xinchen Lyu	2024	arxiv 2401.13205
Perceptual Group Tokenizer: Building Perception with Iterative Grouping	Zhiwei Deng, Ting Chen, Yang Li	2023	arxiv 2311.18296

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