Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. https://arxiv.org/abs/1909.02597
Detecting Deep Neural Network Defects with Data Flow Analysis. https://arxiv.org/abs/1909.02190
FastSpeech: Fast, Robust and Controllable Text to Speech
Ren et al.: https://arxiv.org/abs/1905.09263
Samples : https://speechresearch.github.io/fastspeech/
#ArtificialIntelligence #DeepLearning #MachineLearning
Ren et al.: https://arxiv.org/abs/1905.09263
Samples : https://speechresearch.github.io/fastspeech/
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
FastSpeech: Fast, Robust and Controllable Text to Speech
Neural network based end-to-end text to speech (TTS) has significantly improved the quality of synthesized speech. Prominent methods (e.g., Tacotron 2) usually first generate mel-spectrogram from...
In eras of technological disruption, leadership matters.
Andrew Ng speaks about the progress of AI, how to accelerate AI adoption, and what’s around the corner for AI at Amazon re:MARS 2019 in Las Vegas, California.
https://www.youtube.com/watch?v=j2nGxw8sKYU
Andrew Ng speaks about the progress of AI, how to accelerate AI adoption, and what’s around the corner for AI at Amazon re:MARS 2019 in Las Vegas, California.
https://www.youtube.com/watch?v=j2nGxw8sKYU
YouTube
Andrew Ng at Amazon re:MARS 2019
Andrew Ng speaks about the progress of AI, how to accelerate AI adoption, and what's around the corner for AI at Amazon re:MARS 2019 in Las Vegas, Nevada.
Want to leverage AI to drive business value across your company? Get started by taking AI for Everyone…
Want to leverage AI to drive business value across your company? Get started by taking AI for Everyone…
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models"
Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher Pal : https://arxiv.org/abs/1909.03186
#transformer #naturallanguageprocessing #machinelearning
Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher Pal : https://arxiv.org/abs/1909.03186
#transformer #naturallanguageprocessing #machinelearning
arXiv.org
On Extractive and Abstractive Neural Document Summarization with...
We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive summarization. We perform a simple extractive step before...
People should stop training radiologists now. It is just completely obvious within 5 years deep learning is going to do better than radiologists."
-- Geoffrey Hinton
https://www.youtube.com/watch?v=2HMPRXstSvQ&feature=youtu.be&t=29
-- Geoffrey Hinton
https://www.youtube.com/watch?v=2HMPRXstSvQ&feature=youtu.be&t=29
YouTube
Geoff Hinton: On Radiology
Geoff Hinton comments on radiology and deep learning at the 2016 Machine Learning and Market for Intelligence Conference in Toronto
Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classifi... https://arxiv.org/abs/1909.03050
Using Machine Learning to Battle Antibiotic Resistance
https://www.the-scientist.com/lab-tools/using-machine-learning-to-battle-antibiotic-resistance-65785
https://www.the-scientist.com/lab-tools/using-machine-learning-to-battle-antibiotic-resistance-65785
The Scientist Magazine®
Using Machine Learning to Battle Antibiotic Resistance
Researchers are using artificial intelligence to identify known and novel resistance genes.
Intel AI Developer Program (Free)
https://software.intel.com/en-us/ai/courses
Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.
https://www.marktechpost.com/free-resources/
https://software.intel.com/en-us/ai/courses
Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.
https://www.marktechpost.com/free-resources/
Intel
AI Courses & Certifications
Access free self-paced courses, certifications, and on-demand webinars for a variety of AI topics.
Deep weakly-supervised learning methods for classification and localization in histology images: a survey
Rony et al.: https://arxiv.org/abs/1909.03354
#ArtificialIntelligence #DeepLearning #MachineLearning
Rony et al.: https://arxiv.org/abs/1909.03354
#ArtificialIntelligence #DeepLearning #MachineLearning
📝 The paper: Adversarial Examples Are Not Bugs, They Are Features
video: https://www.youtube.com/watch?v=AOZw1tgD8dA
available here: https://gradientscience.org/adv/
article: https://distill.pub/2019/advex-bugs-discussion/
video: https://www.youtube.com/watch?v=AOZw1tgD8dA
available here: https://gradientscience.org/adv/
article: https://distill.pub/2019/advex-bugs-discussion/
YouTube
Adversarial Attacks on Neural Networks - Bug or Feature?
❤️ Support us on Patreon: https://www.patreon.com/TwoMinutePapers
📝 The paper "Adversarial Examples Are Not Bugs, They Are Features" is available here:
https://gradientscience.org/adv/
The Distill discussion article is available here:
https://distill.pub/2019/advex…
📝 The paper "Adversarial Examples Are Not Bugs, They Are Features" is available here:
https://gradientscience.org/adv/
The Distill discussion article is available here:
https://distill.pub/2019/advex…
SpeechBrain
A PyTorch-based Speech Toolkit : https://speechbrain.github.io
Project Leader: Mirco Ravanelli
#Speech #PyTorch #SpeechBrain
A PyTorch-based Speech Toolkit : https://speechbrain.github.io
Project Leader: Mirco Ravanelli
#Speech #PyTorch #SpeechBrain
Modern Perspectives on Reinforcement Learning in Finance
Petter Kolm and Gordon Ritter : https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3449401
#ReinforcementLearning #Finance #Hedging
Petter Kolm and Gordon Ritter : https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3449401
#ReinforcementLearning #Finance #Hedging
List of institutions with most accepted papers at NeurIPS.
Github code for this graph : https://lnkd.in/edwhZMf
Medium Link: https://medium.com/@dcharrezt/neurips-2019-stats-c91346d31c8f
Github code for this graph : https://lnkd.in/edwhZMf
Medium Link: https://medium.com/@dcharrezt/neurips-2019-stats-c91346d31c8f
GitHub
dcharrezt/NeurIPS-2019-Stats
General stats about NeurIPS 2019. Contribute to dcharrezt/NeurIPS-2019-Stats development by creating an account on GitHub.
Understanding Transfer Learning for Medical Imaging
ArXiV: https://arxiv.org/abs/1902.07208
#biolearning #dl #transferlearning
ArXiV: https://arxiv.org/abs/1902.07208
#biolearning #dl #transferlearning
arXiv.org
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfer learning from natural image datasets, particularly ImageNet, using standard large models and corresponding pretrained weights has become a de-facto method for deep learning applications...