Summaries of Top AI Research Papers of 2018
https://www.topbots.com/most-important-ai-research-papers-2018/
#NeurIPS #NeurIPS2018 #NIPS #NIPS2018
https://www.topbots.com/most-important-ai-research-papers-2018/
#NeurIPS #NeurIPS2018 #NIPS #NIPS2018
TOPBOTS
Easy-To-Read Summary of Important AI Research Papers of 2018
UPDATE: We’ve also summarized the top 2019 and top 2020 AI & machine learning research papers. Trying to keep up with AI research papers can feel like an exercise in futility given how quickly the industry moves. If you’re buried in papers to read that you…
"Behind the Selection of the NeurIPS 2019 Workshops"
By Neural Information Processing Systems Conference: https://medium.com/@NeurIPSConf/2019workshops-ec820e4d558e
#MachineLearning #Neurips2019 #DeepLearning #ReinforcementLearning #Neurips
By Neural Information Processing Systems Conference: https://medium.com/@NeurIPSConf/2019workshops-ec820e4d558e
#MachineLearning #Neurips2019 #DeepLearning #ReinforcementLearning #Neurips
Medium
Behind the Selection of the NeurIPS 2019 Workshops
NeurIPS 2019 workshop decisions just went out! Read on to hear all about the review process and see a preliminary list of workshops.
Behind the Selection of the NeurIPS 2019 Workshops"
By Neural Information Processing Systems Conference: https://medium.com/@NeurIPSConf/2019workshops-ec820e4d558e
#MachineLearning #Neurips2019 #DeepLearning #ReinforcementLearning #Neurips
By Neural Information Processing Systems Conference: https://medium.com/@NeurIPSConf/2019workshops-ec820e4d558e
#MachineLearning #Neurips2019 #DeepLearning #ReinforcementLearning #Neurips
NeurIPS | 2019
Thirty-third Conference on Neural Information Processing Systems - Accepted Competitions :https://neurips.cc/Conferences/2019/CallForCompetitions
#DeepLearning #NeurIPS #NeurIPS2019
Thirty-third Conference on Neural Information Processing Systems - Accepted Competitions :https://neurips.cc/Conferences/2019/CallForCompetitions
#DeepLearning #NeurIPS #NeurIPS2019
NeurIPS 2019 : Disentanglement Challenge
Blog by Max Planck Institute for Intelligent Systems: https://www.aicrowd.com/challenges/neurips-2019-disentanglement-challenge
#DeepLearning #Disentanglement #NeurIPS #NeurIPS2019
Blog by Max Planck Institute for Intelligent Systems: https://www.aicrowd.com/challenges/neurips-2019-disentanglement-challenge
#DeepLearning #Disentanglement #NeurIPS #NeurIPS2019
AIcrowd | NeurIPS 2019 : Disentanglement Challenge | Challenges
Disentanglement: from simulation to real-world
Carnegie Mellon University, Accepted Papers at NeurIPS 2019
Learn more → https://mld.ai/neurips2019
#NeurIPS2019 #NeurIPS #MachineLearning #ML #ComputationalNeuroscience #Research #CarnegieMellon #CMUAI #mldcmu
Learn more → https://mld.ai/neurips2019
#NeurIPS2019 #NeurIPS #MachineLearning #ML #ComputationalNeuroscience #Research #CarnegieMellon #CMUAI #mldcmu
Machine Learning Blog | ML@CMU | Carnegie Mellon University
Carnegie Mellon University, Accepted Papers at NeurIPS 2019
We are proud to present the following papers at the 33rd Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, Canada. Check back for an update with poster numbers and links once the camera-ready papers become available. If you are
NeurIPS 2019 Stats
Blog by Diego Charrez : https://medium.com/@dcharrezt/neurips-2019-stats-c91346d31c8f
#MachineLearning #Neurips #Neurips2019 #ArtficialIntelligence
Blog by Diego Charrez : https://medium.com/@dcharrezt/neurips-2019-stats-c91346d31c8f
#MachineLearning #Neurips #Neurips2019 #ArtficialIntelligence
Medium
NeurIPS 2019 Stats
The Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS) is going to be held at the Vancouver Convention…
Announcing NeurIPS Meetups!
By Neural Information Processing Systems Conference : https://medium.com/@NeurIPSConf/announcing-neurips-meetups-44b2385c67a2
#NeurIPS #Meetup #NeurIPS2019
By Neural Information Processing Systems Conference : https://medium.com/@NeurIPSConf/announcing-neurips-meetups-44b2385c67a2
#NeurIPS #Meetup #NeurIPS2019
We just released our #NeurIPS2019 Multimodal Model-Agnostic Meta-Learning (MMAML) code for learning few-shot image classification, which extends MAML to multimodal task distributions (e.g. learning from multiple datasets). The code contains #PyTorch implementations of our model and two baselines (MAML and Multi-MAML) as well as the scripts to evaluate these models to five popular few-shot learning datasets: Omniglot, Mini-ImageNet, FC100 (CIFAR100), CUB-200-2011, and FGVC-Aircraft.
Code: https://github.com/shaohua0116/MMAML-Classification
Paper: https://arxiv.org/abs/1910.13616
#NeurIPS #MachineLearning #ML #code
Code: https://github.com/shaohua0116/MMAML-Classification
Paper: https://arxiv.org/abs/1910.13616
#NeurIPS #MachineLearning #ML #code
GitHub
GitHub - shaohua0116/MMAML-Classification: An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task…
An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim - GitHub - sh...
You have a paper accepted at #NeurIPS but will not be in Vancouver? Consider presenting your work at a local meetup →
https://www.google.com/maps/d/u/0/viewer?mid=1ezbjW7AGg_9APIshVTu09uhJbXkMO5SI&ll=17.28121049467974%2C13.983942200000001&z=-1&fbclid=IwAR2nvS6YA1SnvCetrI8noxOH5ZSPLjwydMxS2vbhlqd9OBQCpFY1krS5t0A
https://www.google.com/maps/d/u/0/viewer?mid=1ezbjW7AGg_9APIshVTu09uhJbXkMO5SI&ll=17.28121049467974%2C13.983942200000001&z=-1&fbclid=IwAR2nvS6YA1SnvCetrI8noxOH5ZSPLjwydMxS2vbhlqd9OBQCpFY1krS5t0A
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Kuznetsov et al.: https://arxiv.org/abs/1910.13148
#MachineLearning #NeurIPS #NeurIPS2019
Kuznetsov et al.: https://arxiv.org/abs/1910.13148
#MachineLearning #NeurIPS #NeurIPS2019
arXiv.org
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for...
Generative models produce realistic objects in many domains, including text, image, video, and audio synthesis. Most popular models---Generative Adversarial Networks (GANs) and Variational...
NeurIPS 2019 Paper Awards
Neural Information Processing Systems Conference : https://medium.com/@NeurIPSConf/neurips-2019-paper-awards-807e41d0c1e
#ArtificialIntelligence #NeurIPS #NeurIPS2019
Neural Information Processing Systems Conference : https://medium.com/@NeurIPSConf/neurips-2019-paper-awards-807e41d0c1e
#ArtificialIntelligence #NeurIPS #NeurIPS2019
Medium
NeurIPS 2019 Paper Awards
With this blog post, it is our pleasure to unveil the NeurIPS paper awards for 2019, and share more information on the selection process…
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
Hans Pinckaers, Geert Litjens : https://arxiv.org/abs/1910.10470
GitHub : https://github.com/DIAGNijmegen/neural-odes-segmentation
#MedNeurIPS #NeurIPS #NeurIPS2019
Hans Pinckaers, Geert Litjens : https://arxiv.org/abs/1910.10470
GitHub : https://github.com/DIAGNijmegen/neural-odes-segmentation
#MedNeurIPS #NeurIPS #NeurIPS2019
arXiv.org
Neural Ordinary Differential Equations for Semantic Segmentation...
Automated medical image segmentation plays a key role in quantitative research and diagnostics. Convolutional neural networks based on the U-Net architecture are the state-of-the-art. A key...
NeurIPS 2019 Paper Awards
Neural Information Processing Systems Conference : https://medium.com/@NeurIPSConf/neurips-2019-paper-awards-807e41d0c1e
@ArtificialIntelligenceArticles
#ArtificialIntelligence #NeurIPS #NeurIPS2019
https://t.me/ArtificialIntelligenceArticles
Neural Information Processing Systems Conference : https://medium.com/@NeurIPSConf/neurips-2019-paper-awards-807e41d0c1e
@ArtificialIntelligenceArticles
#ArtificialIntelligence #NeurIPS #NeurIPS2019
https://t.me/ArtificialIntelligenceArticles
Medium
NeurIPS 2019 Paper Awards
With this blog post, it is our pleasure to unveil the NeurIPS paper awards for 2019, and share more information on the selection process…
The #NeurIPS AI for social good workshop is live. Check out the live stream if you can't make it in person
https://slideslive.com/38922118/joint-workshop-on-ai-for-social-good-1
https://slideslive.com/38922118/joint-workshop-on-ai-for-social-good-1
SlidesLive
Opening Remarks
This workshop builds on our AI for Social Good workshop at NeurIPS 2018, ICLR 2019 and ICML 2019.
The accelerating pace of intelligent system research and real world deployment presents three clear...
The accelerating pace of intelligent system research and real world deployment presents three clear...
Videos of talks from #BlackinAI and #NeurIPS 2019, in case you missed it!
https://slideslive.com/neurips/neurips-2019-east-meeting-room-1-3-live?fbclid=IwAR0tEjCRVwRP6lXTYJNkNMHyffmyxlhot8X9LVi8fE6apTnIEMb1Wk77vwM
https://slideslive.com/neurips/neurips-2019-east-meeting-room-1-3-live?fbclid=IwAR0tEjCRVwRP6lXTYJNkNMHyffmyxlhot8X9LVi8fE6apTnIEMb1Wk77vwM
SlidesLive
NeurIPS |
Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference…
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
Hans Pinckaers, Geert Litjens : https://arxiv.org/abs/1910.10470
GitHub : https://github.com/DIAGNijmegen/neural-odes-segmentation
#MedNeurIPS #NeurIPS #NeurIPS2019
Hans Pinckaers, Geert Litjens : https://arxiv.org/abs/1910.10470
GitHub : https://github.com/DIAGNijmegen/neural-odes-segmentation
#MedNeurIPS #NeurIPS #NeurIPS2019
arXiv.org
Neural Ordinary Differential Equations for Semantic Segmentation...
Automated medical image segmentation plays a key role in quantitative research and diagnostics. Convolutional neural networks based on the U-Net architecture are the state-of-the-art. A key...
Efficient Graph Generation with Graph Recurrent Attention Networks
Liao et al.: https://arxiv.org/abs/1910.00760
Code: https://github.com/lrjconan/GRAN
#Graph #NeuralNetworks #NeurIPS #NeurIPS2019
Liao et al.: https://arxiv.org/abs/1910.00760
Code: https://github.com/lrjconan/GRAN
#Graph #NeuralNetworks #NeurIPS #NeurIPS2019
GitHub
GitHub - lrjconan/GRAN: Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph…
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019 - lrjconan/GRAN
Enzyme, a compiler plug-in for importing foreign code into systems like TensorFlow & PyTorch without having to rewrite it. v/@MIT_CSAIL
Paper: http://bit.ly/EnzymePDF
More: http://bit.ly/EnzymeML
#ML #MachineLearning #PyTorch #TensorFlowJS #NeurIPS #tensorflow #AI
Paper: http://bit.ly/EnzymePDF
More: http://bit.ly/EnzymeML
#ML #MachineLearning #PyTorch #TensorFlowJS #NeurIPS #tensorflow #AI