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Collections including paper arxiv:1905.11946

Computer Vision papers 👓

Rich feature hierarchies for accurate object detection and semantic segmentation

Paper • 1311.2524 • Published Nov 11, 2013 • 1
DeepPose: Human Pose Estimation via Deep Neural Networks

Paper • 1312.4659 • Published Dec 17, 2013 • 1
Generative Adversarial Networks

Paper • 1406.2661 • Published Jun 10, 2014 • 5
scikit-image: Image processing in Python

Paper • 1407.6245 • Published Jul 23, 2014 • 1

Papers - Image - EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation

Paper • 2411.04709 • Published Nov 5, 2024 • 26

Papers - ResNet

Wide Residual Networks

Paper • 1605.07146 • Published May 23, 2016 • 2
Characterizing signal propagation to close the performance gap in unnormalized ResNets

Paper • 2101.08692 • Published Jan 21, 2021 • 2
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 3
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Paper • 2106.01548 • Published Jun 3, 2021 • 2

Papers - Model Scaling

Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 9
An Empirical Model of Large-Batch Training

Paper • 1812.06162 • Published Dec 14, 2018 • 3
Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2

Papers - Image - Compound Scaling Method

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3

Papers - Neural Architecture Search

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Paper • 2011.09011 • Published Nov 18, 2020 • 2
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Paper • 2005.14187 • Published May 28, 2020 • 2
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

Paper • 2003.11142 • Published Mar 24, 2020 • 2
Efficient Architecture Search by Network Transformation

Paper • 1707.04873 • Published Jul 16, 2017 • 2

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7, 2024 • 65

Computer Vision papers 👓

Rich feature hierarchies for accurate object detection and semantic segmentation

Paper • 1311.2524 • Published Nov 11, 2013 • 1
DeepPose: Human Pose Estimation via Deep Neural Networks

Paper • 1312.4659 • Published Dec 17, 2013 • 1
Generative Adversarial Networks

Paper • 1406.2661 • Published Jun 10, 2014 • 5
scikit-image: Image processing in Python

Paper • 1407.6245 • Published Jul 23, 2014 • 1

Papers - Image - Compound Scaling Method

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3

Papers - Image - EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation

Paper • 2411.04709 • Published Nov 5, 2024 • 26

Papers - Neural Architecture Search

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Paper • 2011.09011 • Published Nov 18, 2020 • 2
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Paper • 2005.14187 • Published May 28, 2020 • 2
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

Paper • 2003.11142 • Published Mar 24, 2020 • 2
Efficient Architecture Search by Network Transformation

Paper • 1707.04873 • Published Jul 16, 2017 • 2

Papers - ResNet

Wide Residual Networks

Paper • 1605.07146 • Published May 23, 2016 • 2
Characterizing signal propagation to close the performance gap in unnormalized ResNets

Paper • 2101.08692 • Published Jan 21, 2021 • 2
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 3
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Paper • 2106.01548 • Published Jun 3, 2021 • 2

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7, 2024 • 65

Papers - Model Scaling

Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 9
An Empirical Model of Large-Batch Training

Paper • 1812.06162 • Published Dec 14, 2018 • 3
Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2

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