Troubleshooting Deep Neural Networks
A Field Guide to Fixing Your Model
Slides by Josh Tobin: https://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf
#ArtificialIntelligence #DeepLearning #MachineLearning
A Field Guide to Fixing Your Model
Slides by Josh Tobin: https://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf
#ArtificialIntelligence #DeepLearning #MachineLearning
A Survey of Optimization Methods from a Machine Learning Perspective
https://arxiv.org/abs/1906.06821v1
https://arxiv.org/abs/1906.06821v1
arXiv.org
A Survey of Optimization Methods from a Machine Learning Perspective
Machine learning develops rapidly, which has made many theoretical
breakthroughs and is widely applied in various fields. Optimization, as an
important part of machine learning, has attracted much...
breakthroughs and is widely applied in various fields. Optimization, as an
important part of machine learning, has attracted much...
Shaping Belief States with Generative Environment Models for RL
Gregor et al.: https://arxiv.org/abs/1906.09237v2
#RL #SelfSupervised #GenerativeWorldModels #BeliefStates
Gregor et al.: https://arxiv.org/abs/1906.09237v2
#RL #SelfSupervised #GenerativeWorldModels #BeliefStates
arXiv.org
Shaping Belief States with Generative Environment Models for RL
When agents interact with a complex environment, they must form and maintain
beliefs about the relevant aspects of that environment. We propose a way to
efficiently train expressive generative...
beliefs about the relevant aspects of that environment. We propose a way to
efficiently train expressive generative...
One of our best of #cvpr2019 is @NvidiaAI STEAL - a new semantic boundary detector for precisely detecting & predicting where an object begins & ends -outperforming past works. A really intelligent way to refine segmentation datasets and train better segmentation models
Read at https://arxiv.org/pdf/1904.07934.pdf
code(@PyTorch):github.com/nv-tlabs/STEAL
Read at https://arxiv.org/pdf/1904.07934.pdf
code(@PyTorch):github.com/nv-tlabs/STEAL
GitHub
GitHub - nv-tlabs/STEAL: STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019) - GitHub - nv-tlabs/STEAL: STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
ICYMI from CVPR 2019: Microsoft researchers use GANs to generate images and storyboards from captions
The proposed Obj-GAN significantly outperforms the previous state of the art in various metrics on the large-scale COCO benchmark
https://www.profillic.com/paper/arxiv:1902.10740
Also, check out previously released, StoryGAN
(capable of generating comic-like storyboards from multi-sentence paragraphs)
https://www.profillic.com/paper/arxiv:1812.02784
The proposed Obj-GAN significantly outperforms the previous state of the art in various metrics on the large-scale COCO benchmark
https://www.profillic.com/paper/arxiv:1902.10740
Also, check out previously released, StoryGAN
(capable of generating comic-like storyboards from multi-sentence paragraphs)
https://www.profillic.com/paper/arxiv:1812.02784
Profillic
Profillic: AI research & source code to supercharge your projects
Explore state-of-the-art in machine learning, AI, and robotics research. Browse papers, source code, models, and more by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language…
Speech Recognition using Artificial Neural Network (ANN)
https://www.aitimejournal.com/@monisha.m/speech-recognition-using-artificial-neural-networkann
https://www.aitimejournal.com/@monisha.m/speech-recognition-using-artificial-neural-networkann
PhD and 1 postdoc position in computational chemistry and machine learning in academia in Bergen (Norway)
https://ccl.net/cca/jobs/joblist/mess0048932.shtml
https://ccl.net/cca/jobs/joblist/mess0048932.shtml
ccl.net
19.06.24 2 PhD and 1 postdoc position in computational chemistry and machine learning in academia in Bergen (Norway).
19.06.24 2 PhD and 1 postdoc position in computational chemistry and machine learning in academia in Bergen (Norway)., Computational Chemistry List,
Resource for Computational Chemists,
molecular modeling, and associated archives
Resource for Computational Chemists,
molecular modeling, and associated archives
Learning Data Augmentation Strategies for Object Detection
Zoph et al.: https://arxiv.org/abs/1906.11172
#ArtificialIntelligence #ComputerVision #PatternRecognition
Zoph et al.: https://arxiv.org/abs/1906.11172
#ArtificialIntelligence #ComputerVision #PatternRecognition
arXiv.org
Learning Data Augmentation Strategies for Object Detection
Data augmentation is a critical component of training deep learning models. Although data augmentation has been shown to significantly improve image classification, its potential has not been...
Geoffrey Hinton’s Unsupervised Capsule Networks Achieve SOTA Results on SVHN
https://medium.com/syncedreview/geoffrey-hintons-unsupervised-capsule-networks-achieve-sota-results-on-svhn-ffe05e871249
https://medium.com/syncedreview/geoffrey-hintons-unsupervised-capsule-networks-achieve-sota-results-on-svhn-ffe05e871249
Medium
Geoffrey Hinton’s Unsupervised Capsule Networks Achieve SOTA Results on SVHN
In 2017 the “Godfather of Deep Learning” Geoffrey Hinton and his students Sara Sabour and Nicholas Frosst proposed the discrimininatively…
35 PhD and Postdoctoral Positions at Lund University, Sweden
https://scholaridea.com/2019/06/26/35-phd-and-postdoctoral-positions-at-lund-university-sweden/
https://scholaridea.com/2019/06/26/35-phd-and-postdoctoral-positions-at-lund-university-sweden/
Scholar Idea
35 PhD and Postdoctoral Positions at Lund University, Sweden
PhD and Postdoctoral Positions at Lund University, one of northern Europe’s oldest universities in Sweden Doctoral Student in Medical Structural Biology MSCA COFUND project PRISMAS (PA2023/508)Med structural biology, Faculty of MedicineDate published: 1 Sep…
Sequential Neural Processes. arxiv.org/abs/1906.10264
Object Tracking Tech from CVPR 2019!
The method, dubbed SiamMask, improves the offline training procedure of popular fully-convolutional Siamese approaches for object tracking by augmenting their loss with a binary segmentation task.
https://www.profillic.com/paper/arxiv:1812.05050
The method, dubbed SiamMask, improves the offline training procedure of popular fully-convolutional Siamese approaches for object tracking by augmenting their loss with a binary segmentation task.
https://www.profillic.com/paper/arxiv:1812.05050
Profillic
Profillic: AI research & source code to supercharge your projects
Explore state-of-the-art in machine learning, AI, and robotics research. Browse papers, source code, models, and more by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language…
RVOS: End-to-End Recurrent Network for Video Object Segmentation
CVPR 2019
https://imatge-upc.github.io/rvos/
CVPR 2019
https://imatge-upc.github.io/rvos/
imatge-upc.github.io
RVOS: End-to-End Recurrent Network for Video Object Segmentation
Description here
Meta Reinforcement Learning
https://lilianweng.github.io/lil-log/2019/06/23/meta-reinforcement-learning.html
https://lilianweng.github.io/lil-log/2019/06/23/meta-reinforcement-learning.html
Lil'Log
Meta Reinforcement Learning
Meta-RL is meta-learning on reinforcement learning tasks. After trained over a distribution of tasks, the agent is able to solve a new task by developing a new RL algorithm with its internal activity dynamics. This post starts with the origin of meta-RL and…
"How to Understand the Universe When You’re Stuck Inside of It"
By Amanda Gefter: https://www.quantamagazine.org/were-stuck-inside-the-universe-lee-smolin-has-an-idea-for-how-to-study-it-anyway-20190627/
#Physics #Universe
By Amanda Gefter: https://www.quantamagazine.org/were-stuck-inside-the-universe-lee-smolin-has-an-idea-for-how-to-study-it-anyway-20190627/
#Physics #Universe
Quanta Magazine
How to Understand the Universe When You’re Stuck Inside of It
Lee Smolin’s radical idea to reimagine how we view the universe.
Generating Diverse High-Fidelity Images with VQ-VAE-2
paper https://arxiv.org/pdf/1906.00446.pdf
paper https://arxiv.org/pdf/1906.00446.pdf