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#deepmodels search results

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neptune_ai's profile picture. Experiment tracker purpose-built for foundation model training. We tweet about #LLM best practices & other cool stuff. Read our blog at https://t.co/4eACuib1QI
neptune.ai
@neptune_ai
Jun 9

Not all layers learn at the same rate. Some layers in #deepmodels "go silent" during training—gradients shrinking to near-zero. Others behave erratically, with values jumping unpredictably. Both cases harm convergence, and neither is obvious from loss curves alone. That’s why,…

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neptune_ai's profile picture. Experiment tracker purpose-built for foundation model training. We tweet about #LLM best practices & other cool stuff. Read our blog at https://t.co/4eACuib1QI
neptune.ai
@neptune_ai
Apr 14

Not all layers learn at the same rate. Some layers in #deepmodels "go silent" during training—gradients shrinking to near-zero. Others behave erratically, with values jumping unpredictably. Both cases harm convergence, and neither is obvious from loss curves alone. That’s why,…

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Idiap_ch's profile picture. Research institute of national importance, based in the heart of the Swiss Alps. Leading the way of #AI for the benefit of society since 1991.
Idiap Research Institute
@Idiap_ch
Nov 8, 2022

André Anjos, head of our #Biosignal Processing group, presents his work about "Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using #DeepModels" during the World Conference on Lung #Health 2022 @UnionConference. ▶️publications.idiap.ch/index.php/publ…

Idiap_ch's tweet image. André Anjos, head of our #Biosignal Processing group, presents his work about "Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using #DeepModels" during the World Conference on Lung #Health 2022 @UnionConference. ▶️publications.idiap.ch/index.php/publ…
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FinSentim's profile picture. We are building multilingual financial sentiment analysis platform to help you track sentiment changes of companies, stocks, and sectors.
FinSentim
 @FinSentim
Dec 6, 2021

Existing work, by @Robert_Baldock et al., on understanding #deeplearning employs measures that compress all data-dependent information in a few numbers. It further categorizes difficult examples in groups, demonstrates how these groups are processed differently inside #deepmodels

FinSentim's tweet image. Existing work, by @Robert_Baldock et al., on understanding #deeplearning employs measures that compress all data-dependent information in a few numbers. It further categorizes difficult examples in groups, demonstrates how these groups are processed differently inside #deepmodels
Robert_Baldock's profile picture.
Robert Baldock
 @Robert_Baldock
Dec 6, 2021

I'd be happy to meet people at NeurIPS this week! If you'd like to come to our poster tomorrow that would be great: nips.cc/Conferences/20… 0830-1000 PST / 1230-1400 EST / 1730-1900 CET. If you can't make it tomorrow but you'd like to chat another time then please reach out. :)

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FinSentim's profile picture. We are building multilingual financial sentiment analysis platform to help you track sentiment changes of companies, stocks, and sectors.
FinSentim
 @FinSentim
Oct 27, 2021

@BeccaRoelofs, @iraphas13 propose methodologies for measuring spectral bias in modern image #classificationnetworks. This work enables ultimately controlling the spectral behavior of #neuralnetworks used for image classification and explains why #deepmodels generalize well.

FinSentim's tweet image. @BeccaRoelofs, @iraphas13 propose methodologies for measuring spectral bias in modern image #classificationnetworks. This work enables ultimately controlling the spectral behavior of #neuralnetworks used for image classification and explains why #deepmodels generalize well.
BeccaRoelofs's profile picture. Research scientist @googledeepmind. Phd EECS @ucberkeley on how to make ML more reliable.
Becca Roelofs
 @BeccaRoelofs
Oct 26, 2021

Ever hear that “networks learn low frequency functions first”? Turns out that in realistic settings the story is more nuanced! Read on to hear about our new work “Spectral Bias in Practice” arxiv.org/abs/2110.02424 Work led by Sara Fridovich-Keil, joint with @iraphas13. 🧵1/7

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clevyr's profile picture. At Clevyr, we create data-driven web, mobile, and software applications to enhance your life and business. #AI #SoftwareDev #ML #ClevyrCares
Clevyr
 @clevyr
May 6, 2021

Do Wide and Deep Networks Learn the Same Things? @GoogleAI #datamodels #NeuralNetworks #deepmodels #AI

GoogleAI's profile picture. Making AI helpful for everyone. Show thinking ↓
Google AI
@GoogleAI
May 4, 2021

Today we present a systematic study comparing wide and deep #NeuralNetworks through the lens of their hidden representations and outputs. Learn how similarities between model layers can inform researchers about model performance and behavior at goo.gle/3xOlm8A

GoogleAI's tweet image. Today we present a systematic study comparing wide and deep #NeuralNetworks through the lens of their hidden representations and outputs. Learn how similarities between model layers can inform researchers about model performance and behavior at goo.gle/3xOlm8A
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semwebcompany's profile picture. Knowledge graphs, graph-based text mining, smart recommender systems. Open world assumptions! Vendor of PoolParty Semantic Suite (https://t.co/0bE3waYyx0)
Semantic Web Company
 @semwebcompany
Jul 27, 2020

Last year’s SemDeep was one of the most popular workshops at @IJCAIconf. Why? Are now researchers interested in bringing #semantics into the intransparent #deepnetworks or in employing the successful #deepmodels to understand the semantics of #data? hubs.ly/H0smLQn0

semwebcompany's tweet image. Last year’s SemDeep was one of the most popular workshops at @IJCAIconf. Why? Are now researchers interested in bringing #semantics into the intransparent #deepnetworks or in employing the successful #deepmodels to understand the semantics of #data? hubs.ly/H0smLQn0
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dataiku's profile picture. Dataiku is The Universal AI Platform™, giving organizations control over AI talent, processes, and tech to unleash the creation of analytics, models, and agents
Dataiku
 @dataiku
Apr 15, 2020

Webinar alert! Join us this Friday, April 17th for a talk with @Etsy on how their data scientists optimize recommendation systems and explore deep models. REGISTER HERE: | bit.ly/2RFbJWe #DataScience #DeepModels #Etsy #Trends #DataAnalyst #RecommenderSystems

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gforestier's profile picture. Professor in Computer Science @UHA68 • Associate Professor (Adjunct) @MonashUni • AI researcher • Exhausted dad³
Germain Forestier
 @gforestier
Apr 23, 2019

You probably know adversarial attacks in computer vision, but did you know that #DeepModels for #TimeSeries classification can be attacked too ? Check out applications on food safety, vehicle sensors and electricity consumption in our paper arxiv.org/abs/1903.07054 #DeepLearning

gforestier's tweet image. You probably know adversarial attacks in computer vision, but did you know that #DeepModels for #TimeSeries classification can be attacked too ? Check out applications on food safety, vehicle sensors and electricity consumption in our paper arxiv.org/abs/1903.07054 #DeepLearning
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corolab_UoM's profile picture. The official twitter account of the Cognitive Robotics Laboratory at @OfficialUoM 🤖
UoM Cognitive Robotics Lab
 @corolab_UoM
Mar 7, 2019

Our work on using #deepmodels for comprehension of #deictic gesture-word combinations in #cognitiverobotics has been accepted for #ijcnn2019 🤖@DCOMM_EU

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crudeoilreport's profile picture. The market may be long on conviction but it is short on position... #crude #oil #wti #brent #oott #shale #opec
Crude Oil Report
@crudeoilreport
Jan 4, 2017

Chasing after #deepmodels is the way to greatness with #DDD through #ubiquitous language with #coredomain and #subdomains

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gforestier's profile picture. Professor in Computer Science @UHA68 • Associate Professor (Adjunct) @MonashUni • AI researcher • Exhausted dad³
Germain Forestier
 @gforestier
Apr 23, 2019

You probably know adversarial attacks in computer vision, but did you know that #DeepModels for #TimeSeries classification can be attacked too ? Check out applications on food safety, vehicle sensors and electricity consumption in our paper arxiv.org/abs/1903.07054 #DeepLearning

gforestier's tweet image. You probably know adversarial attacks in computer vision, but did you know that #DeepModels for #TimeSeries classification can be attacked too ? Check out applications on food safety, vehicle sensors and electricity consumption in our paper arxiv.org/abs/1903.07054 #DeepLearning
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semwebcompany's profile picture. Knowledge graphs, graph-based text mining, smart recommender systems. Open world assumptions! Vendor of PoolParty Semantic Suite (https://t.co/0bE3waYyx0)
Semantic Web Company
 @semwebcompany
Jul 27, 2020

Last year’s SemDeep was one of the most popular workshops at @IJCAIconf. Why? Are now researchers interested in bringing #semantics into the intransparent #deepnetworks or in employing the successful #deepmodels to understand the semantics of #data? hubs.ly/H0smLQn0

semwebcompany's tweet image. Last year’s SemDeep was one of the most popular workshops at @IJCAIconf. Why? Are now researchers interested in bringing #semantics into the intransparent #deepnetworks or in employing the successful #deepmodels to understand the semantics of #data? hubs.ly/H0smLQn0
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FinSentim's profile picture. We are building multilingual financial sentiment analysis platform to help you track sentiment changes of companies, stocks, and sectors.
FinSentim
 @FinSentim
Dec 6, 2021

Existing work, by @Robert_Baldock et al., on understanding #deeplearning employs measures that compress all data-dependent information in a few numbers. It further categorizes difficult examples in groups, demonstrates how these groups are processed differently inside #deepmodels

FinSentim's tweet image. Existing work, by @Robert_Baldock et al., on understanding #deeplearning employs measures that compress all data-dependent information in a few numbers. It further categorizes difficult examples in groups, demonstrates how these groups are processed differently inside #deepmodels
Robert_Baldock's profile picture.
Robert Baldock
 @Robert_Baldock
Dec 6, 2021

I'd be happy to meet people at NeurIPS this week! If you'd like to come to our poster tomorrow that would be great: nips.cc/Conferences/20… 0830-1000 PST / 1230-1400 EST / 1730-1900 CET. If you can't make it tomorrow but you'd like to chat another time then please reach out. :)

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FinSentim's profile picture. We are building multilingual financial sentiment analysis platform to help you track sentiment changes of companies, stocks, and sectors.
FinSentim
 @FinSentim
Oct 27, 2021

@BeccaRoelofs, @iraphas13 propose methodologies for measuring spectral bias in modern image #classificationnetworks. This work enables ultimately controlling the spectral behavior of #neuralnetworks used for image classification and explains why #deepmodels generalize well.

FinSentim's tweet image. @BeccaRoelofs, @iraphas13 propose methodologies for measuring spectral bias in modern image #classificationnetworks. This work enables ultimately controlling the spectral behavior of #neuralnetworks used for image classification and explains why #deepmodels generalize well.
BeccaRoelofs's profile picture. Research scientist @googledeepmind. Phd EECS @ucberkeley on how to make ML more reliable.
Becca Roelofs
 @BeccaRoelofs
Oct 26, 2021

Ever hear that “networks learn low frequency functions first”? Turns out that in realistic settings the story is more nuanced! Read on to hear about our new work “Spectral Bias in Practice” arxiv.org/abs/2110.02424 Work led by Sara Fridovich-Keil, joint with @iraphas13. 🧵1/7

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Idiap_ch's profile picture. Research institute of national importance, based in the heart of the Swiss Alps. Leading the way of #AI for the benefit of society since 1991.
Idiap Research Institute
@Idiap_ch
Nov 8, 2022

André Anjos, head of our #Biosignal Processing group, presents his work about "Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using #DeepModels" during the World Conference on Lung #Health 2022 @UnionConference. ▶️publications.idiap.ch/index.php/publ…

Idiap_ch's tweet image. André Anjos, head of our #Biosignal Processing group, presents his work about "Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using #DeepModels" during the World Conference on Lung #Health 2022 @UnionConference. ▶️publications.idiap.ch/index.php/publ…
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