Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Learning Portrait Style Representations	Sadat Shaik, Bernadette Bucher, Nephele Agrafiotis	2020	arxiv 2012.04153
Improved Consistency Regularization for GANs	Zhengli Zhao, Sameer Singh, Honglak Lee	2020	arxiv 2002.04724
Pre-training without Natural Images	Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto	2021	arxiv 2101.08515
Self-training for Few-shot Transfer Across Extreme Task Differences	Cheng Perng Phoo, Bharath Hariharan	2020	arxiv 2010.07734
Self-Supervised Pretraining Improves Self-Supervised Pretraining	Colorado J. Reed, Xiangyu Yue, Ani Nrusimha	2021	arxiv 2103.12718
Improving Calibration for Long-Tailed Recognition	Zhisheng Zhong, Jiequan Cui, Shu Liu	2021	arxiv 2104.00466
BCNN: Binary Complex Neural Network	Yanfei Li, Tong Geng, Ang Li	2021	arxiv 2104.10044
Boosting Adversarial Attacks on Neural Networks with Better Optimizer	Heng Yin, Hengwei Zhang, Jindong Wang	2020	arxiv 2012.00567
RSG: A Simple but Effective Module for Learning Imbalanced Datasets	Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu	2021	arxiv 2106.09859
A Time-to-first-spike Coding and Conversion Aware Training for Energy-Efficient Deep Spiking Neural Network Processor Design	Dongwoo Lew, Kyungchul Lee, Jongsun Park	2022	arxiv 2208.04494
Improved Masked Image Generation with Token-Critic	José Lezama, Huiwen Chang, Lu Jiang	2022	arxiv 2209.04439
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations	Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari	2022	arxiv 2210.03927
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers	Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim	2022	arxiv 2210.07562
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization	Seungyong Moon, Gaon An, Hyun Oh Song	2019	arxiv 1905.06635
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment	Dong Hoon Lee, Sungik Choi, Hyunwoo Kim	2022	arxiv 2211.02284
SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations	Zhiming Wang, Lin Gu, Feng Lu	2023	arxiv 2308.08884
Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD	Moritz Knolle, Robert Dorfman, Alexander Ziller	2023	arxiv 2308.12018
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers	Matthew Dutson, Yin Li, Mohit Gupta	2023	arxiv 2308.13494
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation	Diederik P. Kingma, Ruiqi Gao	2023	arxiv 2303.00848
Entropic Score metric: Decoupling Topology and Size in Training-free NAS	Niccolò Cavagnero, Luca Robbiano, Francesca Pistilli	2023	arxiv 2310.04179

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