Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Learning with Neighbor Consistency for Noisy Labels	Ahmet Iscen, Jack Valmadre, Anurag Arnab	2022	arxiv 2202.02200
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition	Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh	2021	arxiv 2109.14710
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking	Hao Luo, Wenxuan Xie, Xinggang Wang	2018	arxiv 1811.05340
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search	Bichen Wu, Yanghan Wang, Peizhao Zhang	2018	arxiv 1812.00090
Distilling with Performance Enhanced Students	Jack Turner, Elliot J. Crowley, Valentin Radu	2018	arxiv 1810.10460
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation	Xin Chen, Lingxi Xie, Jun Wu	2019	arxiv 1904.12760
Searching for Stage-wise Neural Graphs In the Limit	Xin Zhou, Dejing Dou, Boyang Li	2019	arxiv 1912.12860
Adversarial Representation Active Learning	Ali Mottaghi, Serena Yeung	2019	arxiv 1912.09720
Can weight sharing outperform random architecture search? An investigation with TuNAS	Gabriel Bender, Hanxiao Liu, Bo Chen	2020	arxiv 2008.06120
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization	Miloš Nikolić, Ghouthi Boukli Hacene, Ciaran Bannon	2020	arxiv 2002.03090
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	Forrest N. Iandola, Song Han, Matthew W. Moskewicz	2016	arxiv 1602.07360
Gradually Updated Neural Networks for Large-Scale Image Recognition	Siyuan Qiao, Zhishuai Zhang, Wei Shen	2017	arxiv 1711.09280
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study	Suyog Gupta, Wei Zhang, Fei Wang	2015	arxiv 1509.04210
CHIP: Contrastive Hierarchical Image Pretraining	Arpit Mittal, Harshil Jhaveri, Swapnil Mallick	2023	arxiv 2310.08304
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective	Yingtian Zou, Vikas Verma, Sarthak Mittal	2022	arxiv 2212.13381
On skip connections and normalisation layers in deep optimisation	Lachlan Ewen MacDonald, Jack Valmadre, Hemanth Saratchandran	2022	arxiv 2210.05371
Fixing Overconfidence in Dynamic Neural Networks	Lassi Meronen, Martin Trapp, Andrea Pilzer	2023	arxiv 2302.06359
Photorealistic Video Generation with Diffusion Models	Agrim Gupta, Lijun Yu, Kihyuk Sohn	2023	arxiv 2312.06662
Unified Uncertainty Calibration	Kamalika Chaudhuri, David Lopez-Paz	2023	arxiv 2310.01202
MelNet: A Real-Time Deep Learning Algorithm for Object Detection	Yashar Azadvatan, Murat Kurt	2024	arxiv 2401.17972

Search results