Top 10 Arxiv Papers Today


3.963 Mikeys
#1. What does it mean to understand a neural network?
Timothy P. Lillicrap, Konrad P. Kording
We can define a neural network that can learn to recognize objects in less than 100 lines of code. However, after training, it is characterized by millions of weights that contain the knowledge about many object types across visual scenes. Such networks are thus dramatically easier to understand in terms of the code that makes them than the resulting properties, such as tuning or connections. In analogy, we conjecture that rules for development and learning in brains may be far easier to understand than their resulting properties. The analogy suggests that neuroscience would benefit from a focus on learning and development.
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hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about how pondering neural networks changes our goals as neuroscientists.
BrundageBot: What does it mean to understand a neural network?. Timothy P. Lillicrap and Konrad P. Kording https://t.co/y4lKsIJddZ
IntuitMachine: "Instead of asking how the brain works we should, arguably, ask how it learns to work." https://t.co/20ucLLyWGH @KordingLab
rinatie_ceo: [1907.06374] What does it mean to understand a neural network? https://t.co/w216bT07Vk
tripdancer0916: 人工知能×神経科学の分野で有名な2人による波紋を呼びそうな論文。今の神経科学は脳がどのように情報処理してるのかを理解しようとしてるけど、(それは現時点では複雑すぎて難しいから)脳がどのような学習則でそれを獲得するのかを理解することに注力すべきという主張。 https://t.co/4oAhI2hVGt https://t.co/uQnT4FAHMG
markomanka: MT @KordingLab Can a focus on development help us further our understanding of neuroscience? Musings inspired by experiences on machine learning... https://t.co/RlEJ1MR26t
leafs_s: What does it mean to understand a neural network? Timothy P. Lillicrap, Konrad P. Kording https://t.co/i6g9VjUIkj
arxivml: "What does it mean to understand a neural network?", Timothy P. Lillicrap, Konrad P. Kording https://t.co/8LDiReCxVl
arxiv_cs_LG: What does it mean to understand a neural network?. Timothy P. Lillicrap and Konrad P. Kording https://t.co/YeVO32qm7O
BioPapers: What does it mean to understand a neural network?. https://t.co/OENHbwaO7C
rasbt: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
ceobillionaire: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
Miles_Brundage: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
emulenews: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
judegomila: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
suzatweet: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
poolio: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
LionbridgeAI: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
bttyeo: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
weballergy: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
danjlurie: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
IntuitMachine: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
AnnaSchapiro: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
rvidal: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
tarantulae: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
kekitko: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
tdverstynen: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
EldarSilver: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
thewarrenwelsh: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
thewarrenwelsh: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
thewarrenwelsh: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
drahfa: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
AdamMarblestone: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
Farmer_MindBody: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
VenkRamaswamy: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
nicholdav: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
romy_lorenz: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
USTpodcast: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
MarklDouthwaite: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
imleslahdin: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
c_perrodin: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
kmpetersson: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
IdanAsherBlank: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
RichmanRonald: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
sannykimchi: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
nicolarohrseitz: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
tak_yamm: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
tak_yamm: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
selimonder: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
marcolin91: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
jh_jacobsen: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
towards_AI: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
Involution88: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
barselona_59: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
cdossman: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
joekina: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
jbohnslav: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
owhadi: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
sky0_1: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
JeanMarcJAzzi: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
NeuroLuyckx: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
ampanmdagaba: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
NCMLabETH: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
michaeld7: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
nidhi_s91: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
MarilioMeireles: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
SantiagoACadena: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
svaksha: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
begusgasper: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
bhagirathl: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
NoudHeijna: RT @IntuitMachine: "Instead of asking how the brain works we should, arguably, ask how it learns to work." https://t.co/20ucLLyWGH @Kordi…
PennMINS: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
MattiaRigotti: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
_DLPBGJ80C04Z_: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
FrAnDeSaR: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
MarkTan57229491: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
AIexLaurence: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
dannyehb: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
sagarpath: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
sagarpath: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
origin_hosting: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
4ester: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
esvhd: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
hu_daa: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
lajnd: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
RndWalk: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
argv_sat184: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
umutcanaltin1: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
danielmurfet: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
vdeepak13: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
iugoaoj: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
bendi007: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
EduAruberuto: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
akjagadish: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
Hansatyam: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
alsombra7: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
matt_vowels: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
ek2la: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
RadhaManisha: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
Blu_me_: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
liqiangniu: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
gabeibagon: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
sumitsethy: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
viktor_m81: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
Dhruvrnaik: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
chongxi_lai: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
gvessere: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
MozejkoMarcin: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
____kees__: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
ruben_rrf: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
experiencor: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
Ganeshk92: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
RokoMijicUK: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
ckingkan29: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
Benoit_Allen: RT @KordingLab: What does it mean to understand a neural network: https://t.co/Deif3SG0BY - Tim Lillicrap and me try to think deeply about…
JunMa_11: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
sfernando131: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
AiTitang: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
sunghyo_chung: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
junsukchoe: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
elvcastelo: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
rtkushner: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
valentines_dawn: RT @hardmaru: What does it mean to understand a neural network? https://t.co/zmeinOM8Vx https://t.co/BDgEHuAuwd https://t.co/ta8OgYjNTj
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Unqiue Words: 1660

2.92 Mikeys
#2. Efficient Video Generation on Complex Datasets
Aidan Clark, Jeff Donahue, Karen Simonyan
Generative models of natural images have progressed towards high fidelity samples by the strong leveraging of scale. We attempt to carry this success to the field of video modeling by showing that large Generative Adversarial Networks trained on the complex Kinetics-600 dataset are able to produce video samples of substantially higher complexity than previous work. Our proposed network, Dual Video Discriminator GAN (DVD-GAN), scales to longer and higher resolution videos by leveraging a computationally efficient decomposition of its discriminator. We evaluate on the related tasks of video synthesis and video prediction, and achieve new state of the art Frechet Inception Distance on prediction for Kinetics-600, as well as state of the art Inception Score for synthesis on the UCF-101 dataset, alongside establishing a number of strong baselines on Kinetics-600.
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BrundageBot: Efficient Video Generation on Complex Datasets. Aidan Clark, Jeff Donahue, and Karen Simonyan https://t.co/vD1qhGuRpg
udoooom: DVD-GAN読んでなるほどって言いながら涙流してる https://t.co/SPyWgf4BBA
arxivml: "Efficient Video Generation on Complex Datasets", Aidan Clark, Jeff Donahue, Karen Simonyan https://t.co/Itl4zWNnne
arxiv_cs_LG: Efficient Video Generation on Complex Datasets. Aidan Clark, Jeff Donahue, and Karen Simonyan https://t.co/MyjEhgkRX2
StatsPapers: Efficient Video Generation on Complex Datasets. https://t.co/JYANzYN2UC
arxiv_cscv: Efficient Video Generation on Complex Datasets https://t.co/zOKhqPBy6m
ceobillionaire: RT @roadrunning01: Efficient Video Generation on Complex Datasets pdf: https://t.co/ngwdxDK42E abs: https://t.co/WhfJKvKtLG https://t.co/Yl…
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matt_vowels: RT @roadrunning01: Efficient Video Generation on Complex Datasets pdf: https://t.co/ngwdxDK42E abs: https://t.co/WhfJKvKtLG https://t.co/Yl…
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gabeibagon: RT @roadrunning01: Efficient Video Generation on Complex Datasets pdf: https://t.co/ngwdxDK42E abs: https://t.co/WhfJKvKtLG https://t.co/Yl…
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2.744 Mikeys
#3. The Carnegie-Chicago Hubble Program. VIII. An Independent Determination of the Hubble Constant Based on the Tip of the Red Giant Branch
Wendy L. Freedman, Barry F. Madore, Dylan Hatt, Taylor J. Hoyt, In-Sung Jang, Rachael L. Beaton, Christopher R. Burns, Myung Gyoon Lee, Andrew J. Monson, Jillian R. Neeley, Mark M. Phillips, Jeffrey A. Rich, Mark Seibert
We present a new and independent determination of the local value of the Hubble constant based on a calibration of the Tip of the Red Giant Branch (TRGB) applied to Type Ia supernovae (SNeIa). We find a value of Ho = 69.8 +/- 0.8 (+/-1.1\% stat) +/- 1.7 (+/-2.4\% sys) km/sec/Mpc. The TRGB method is both precise and accurate, and is parallel to, but independent of the Cepheid distance scale. Our value sits midway in the range defined by the current Hubble tension. It agrees at the 1.2-sigma level with that of the Planck 2018 estimate, and at the 1.7-sigma level with the SHoES measurement of Ho based on the Cepheid distance scale. The TRGB distances have been measured using deep Hubble Space Telescope (HST) Advanced Camera for Surveys (ACS) imaging of galaxy halos. The zero point of the TRGB calibration is set with a distance modulus to the Large Magellanic Cloud of 18.477 +/- 0.004 (stat) +/-0.020 (sys) mag, based on measurement of 20 late-type detached eclipsing binary (DEB) stars, combined with an HST parallax calibration of a...
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StephenSerjeant: @AstroMikeMerri And right on cue... https://t.co/3YbO4xYUSq
life_wont_wait: 混乱は増すばかり/The Carnegie-Chicago Hubble Program. VIII. An Independent Determination of the Hubble Constant Based on the Tip of the Red Giant Branch https://t.co/BEVB0MDwAg
rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7 (2.4% sys). This is 1.2 sigma consistent w/ Planck and 1.7 sigma consistent w/ the Cepheid-based calibration. There is A LOT to unpack, but there it is
MBKplus: A TRGB-derived Hubble constant of 69.8 km/s/Mpc (Freedman et al.)?!? The Universe is just messing with us at this point, right? https://t.co/aqaCBEplQX
conselice: Using the tip of the red giant branch Freedman et al. find a Hubble constant mid-way between the latest Cepheid and Planck values, with H=69.8. Unknown systematics rather than new physics most likely cause of tension. To be published in @AAS_Publishing https://t.co/A7WAMSKsCA
johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
higgsinocat: The Carnegie-Chicago Hubble Program. VIII. An Independent Determination of the Hubble Constant Based on the Tip of the Red Giant Branch. (arXiv:1907.05922v1 [as... relevance:33% https://t.co/jKwfkfXgOy #darkmatter https://t.co/rxcQBQNbOu
rybizki: No Hubble tension when inferring H_0 from the Tip of the Red Giant Branch: https://t.co/0U6FHmj3xE
bouquina: So this is the paper about the new Hubble constant https://t.co/Kik7Q5tDtL
AsteroidEnergy: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
astrokiwi: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
dalcantonJD: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
SPTelescope: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
johannateske: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
michelle_lmc: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
WKCosmo: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
WKCosmo: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
nfmartin1980: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
brant_robertson: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
PlavchanPeter: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
DCHooper91: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
marianojavierd1: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
astrobellatrix: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
astrojthe3: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
philipbull: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
kainoeske: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
chargedcurrent: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
johnnypgreco: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
JustTheLetterU: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
Karl_Nordstrom: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
AstronomerPat: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
Vega18h37m: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
TransientBlip: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
aesardone: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
mostlygalaxies: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
AddisonGraeme: RT @rareflwr41: Our Population II based calib of SNe Ia is out (https://t.co/Z8WyS04wkA). We get 69.8 km/s /Mpc +/- 0.8 (1.1% stat) +/- 1.7…
Jaza120: RT @johnnypgreco: Always bet on the median 🙃 #DistancesAreHard https://t.co/AMsBDxJQYG https://t.co/ZYF2QVt8PO
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Sample Sizes : [18, 18, 10, 10, 19, 10]
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Total Words: 24304
Unqiue Words: 5128

2.296 Mikeys
#4. TWEETQA: A Social Media Focused Question Answering Dataset
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
With social media becoming increasingly pop-ular on which lots of news and real-time eventsare reported, developing automated questionanswering systems is critical to the effective-ness of many applications that rely on real-time knowledge. While previous datasets haveconcentrated on question answering (QA) forformal text like news and Wikipedia, wepresent the first large-scale dataset for QA oversocial media data. To ensure that the tweetswe collected are useful, we only gather tweetsused by journalists to write news articles. Wethen ask human annotators to write questionsand answers upon these tweets. Unlike otherQA datasets like SQuAD in which the answersare extractive, we allow the answers to be ab-stractive. We show that two recently proposedneural models that perform well on formaltexts are limited in their performance when ap-plied to our dataset. In addition, even the fine-tuned BERT model is still lagging behind hu-man performance with a large margin. Our re-sults thus point to the need of improved QAsystems targeting...
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BrundageBot: TWEETQA: A Social Media Focused Question Answering Dataset. Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, and William Yang Wang https://t.co/PDS4xYLjhm
arxiv_in_review: #acl2019nlp TWEETQA: A Social Media Focused Question Answering Dataset. (arXiv:1907.06292v1 [cs\.CL]) https://t.co/CPyCpwYHgS
arxiv_cscl: TWEETQA: A Social Media Focused Question Answering Dataset https://t.co/najk28dV24
Github
Repository: mprc
User: shuohangwang
Language: Lua
Stargazers: 64
Subscribers: 12
Forks: 18
Open Issues: 0
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2.255 Mikeys
#5. Anonymous and confidential file sharing over untrusted clouds
Stefan Contiu, Sébastien Vaucher, Rafael Pires, Marcelo Pasin, Pascal Felber, Laurent Réveillère
Using public cloud services for storing and sharing confidential data requires end users to cryptographically protect both the data and the access to the data. In some cases, the identity of end users needs to remain confidential against the cloud provider and fellow users accessing the data. As such, the underlying cryptographic access control mechanism needs to ensure the anonymity of both data producers and consumers. We introduce A-SKY, a cryptographic access control extension capable of providing confidentiality and anonymity guarantees, all while efficiently scaling to large organizations. A-SKY leverages trusted execution environments (TEEs) to address the impracticality of anonymous broadcast encryption (ANOBE) schemes, achieving faster execution times and shorter ciphertexts. The innovative design of A-SKY limits the usage of the TEE to the narrow set of data producing operations, and thus optimizes the dominant data consumption actions by not requiring a TEE. Furthermore, we propose a scalable implementation for A-SKY...
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x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t.co/hJeDyHrlYn
kom_256: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
operationoxygen: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
remagio: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
antifarben: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
1stCrassCitizen: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
encodedwitch: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
__chamal: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
Gdwallasign: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
AcooEdi: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
origin_hosting: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
dheeraj_rn: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
fahadsoror: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
p3t3r49principl: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
CANIS_IMPETUS: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
packethacker: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
xb3t0: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
Nyzblossom1: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
_xspeak: RT @x0rz: Anonymous and Confidential File Sharing over Untrusted Clouds https://t.co/Y0ARSbY9u0 (PDF) #privacy #encryption #cloud https://t…
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Sample Sizes : None.
Authors: 6
Total Words: 10508
Unqiue Words: 3096

2.221 Mikeys
#6. Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem
Tapajit Dey, Yuxing Ma, Audris Mockus
Background: Open source requires participation of volunteer and commercial developers (users) in order to deliver functional high-quality components. Developers both contribute effort in the form of patches and demand effort from the component maintainers to resolve issues reported against it. Aim: Identify and characterize patterns of effort contribution and demand throughout the open source supply chain and investigate if and how these patterns vary with developer activity; identify different groups of developers; and predict developers' company affiliation based on their participation patterns. Method: 1,376,946 issues and pull-requests created for 4433 NPM packages with over 10,000 monthly downloads and full (public) commit activity data of the 272,142 issue creators is obtained and analyzed and dependencies on NPM packages are identified. Fuzzy c-means clustering algorithm is used to find the groups among the users based on their effort contribution and demand patterns, and Random Forest is used as the predictive modeling...
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npm registry documentation

Repository: registry
User: npm
Language: None
Stargazers: 70
Subscribers: 17
Forks: 21
Open Issues: 2
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Authors: 3
Total Words: 10967
Unqiue Words: 2505

2.178 Mikeys
#7. Batch-Shaped Channel Gated Networks
Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling
We present a method for gating deep-learning architectures on a fine-grained level. Individual convolutional maps are turned on/off conditionally on features in the network. This method allows us to train neural networks with a large capacity, but lower inference time than the full network. To achieve this, we introduce a new residual block architecture that gates convolutional channels in a fine-grained manner. We also introduce a generally applicable tool "batch-shaping" that matches the marginal aggregate posteriors of features in a neural network to a pre-specified prior distribution. We use this novel technique to force gates to be more conditional on the data. We present results on CIFAR-10 and ImageNet datasets for image classification and Cityscapes for semantic segmentation. Our results show that our method can slim down large architectures conditionally, such that the average computational cost on the data is on par with a smaller architecture, but with higher accuracy. In particular, our ResNet34 gated network achieves...
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BrundageBot: Batch-Shaped Channel Gated Networks. Babak Ehteshami Bejnordi, Tijmen Blankevoort, and Max Welling https://t.co/CyZEsENlFc
arxivml: "Batch-Shaped Channel Gated Networks", Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling https://t.co/pBJFJ8yF9g
arxiv_cs_LG: Batch-Shaped Channel Gated Networks. Babak Ehteshami Bejnordi, Tijmen Blankevoort, and Max Welling https://t.co/xsWyxUNTrL
BabakEht: See our new arXiv paper on channel-gated nets for conditional compute. Our batch-shaping loss matches the marginal aggregated posterior of a feature in NN to any prior PDF and helps to learn more conditional features: https://t.co/5XpNbK7L2t (B.E., T. Blankevoort, M. Welling) https://t.co/l0fybssegk
Memoirs: Batch-Shaped Channel Gated Networks. https://t.co/rlBGwMEAzW
arxiv_cscv: Batch-Shaped Channel Gated Networks https://t.co/swXBtoVxAg
treasured_write: RT @BrundageBot: Batch-Shaped Channel Gated Networks. Babak Ehteshami Bejnordi, Tijmen Blankevoort, and Max Welling https://t.co/CyZEsENlFc
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Authors: 3
Total Words: 0
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2.165 Mikeys
#8. Towards Characterizing and Limiting Information Exposure in DNN Layers
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi
Pre-trained Deep Neural Network (DNN) models are increasingly used in smartphones and other user devices to enable prediction services, leading to potential disclosures of (sensitive) information from training data captured inside these models. Based on the concept of generalization error, we propose a framework to measure the amount of sensitive information memorized in each layer of a DNN. Our results show that, when considered individually, the last layers encode a larger amount of information from the training data compared to the first layers. We find that, while the neuron of convolutional layers can expose more (sensitive) information than that of fully connected layers, the same DNN architecture trained with different datasets has similar exposure per layer. We evaluate an architecture to protect the most sensitive layers within the memory limits of Trusted Execution Environment (TEE) against potential white-box membership inference attacks without the significant computational overhead.
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BrundageBot: Towards Characterizing and Limiting Information Exposure in DNN Layers. Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, and Hamed Haddadi https://t.co/nP6gFNr0iS
arxiv_cs_LG: Towards Characterizing and Limiting Information Exposure in DNN Layers. Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, and Hamed Haddadi https://t.co/b47JeJAZPG
Memoirs: Towards Characterizing and Limiting Information Exposure in DNN Layers. https://t.co/revYYYuVOx
Github

runs several layers of a deep learning model in TrustZone

Repository: darknetp
User: mofanv
Language: C
Stargazers: 0
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Forks: 0
Open Issues: 1
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Authors: 5
Total Words: 3508
Unqiue Words: 1331

2.162 Mikeys
#9. Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng
Surgical tool presence detection and surgical phase recognition are two fundamental yet challenging tasks in surgical video analysis and also very essential components in various applications in modern operating rooms. While these two analysis tasks are highly correlated in clinical practice as the surgical process is well-defined, most previous methods tackled them separately, without making full use of their relatedness. In this paper, we present a novel method by developing a multi-task recurrent convolutional network with correlation loss (MTRCNet-CL) to exploit their relatedness to simultaneously boost the performance of both tasks. Specifically, our proposed MTRCNet-CL model has an end-to-end architecture with two branches, which share earlier feature encoders to extract general visual features while holding respective higher layers targeting for specific tasks. Given that temporal information is crucial for phase recognition, long-short term memory (LSTM) is explored to model the sequential dependencies in the phase...
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BrundageBot: Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, and Pheng-Ann Heng https://t.co/scQ7IdI5HA
arxiv_cs_LG: Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, and Pheng-Ann Heng https://t.co/xjhY7QxjkZ
Memoirs: Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. https://t.co/KUNdrNVQ46
arxiv_cscv: Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis https://t.co/RNglVYHboy
Github
Repository: MTRCNet-CL
User: YuemingJin
Language: Python
Stargazers: 0
Subscribers: 0
Forks: 0
Open Issues: 0
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Sample Sizes : None.
Authors: 7
Total Words: 13163
Unqiue Words: 3246

2.161 Mikeys
#10. Understanding Deep Learning Techniques for Image Segmentation
Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik
The machine learning community has been overwhelmed by a plethora of deep learning based approaches. Many challenging computer vision tasks such as detection, localization, recognition and segmentation of objects in unconstrained environment are being efficiently addressed by various types of deep neural networks like convolutional neural networks, recurrent networks, adversarial networks, autoencoders and so on. While there have been plenty of analytical studies regarding the object detection or recognition domain, many new deep learning techniques have surfaced with respect to image segmentation techniques. This paper approaches these various deep learning techniques of image segmentation from an analytical perspective. The main goal of this work is to provide an intuitive understanding of the major techniques that has made significant contribution to the image segmentation domain. Starting from some of the traditional image segmentation approaches, the paper progresses describing the effect deep learning had on the image...
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BrundageBot: Understanding Deep Learning Techniques for Image Segmentation. Swarnendu Ghosh, Nibaran Das, Ishita Das, and Ujjwal Maulik https://t.co/AhbxlTbX1h
arxivml: "Understanding Deep Learning Techniques for Image Segmentation", Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal M… https://t.co/e7qk4Ri7bm
arxiv_cs_LG: Understanding Deep Learning Techniques for Image Segmentation. Swarnendu Ghosh, Nibaran Das, Ishita Das, and Ujjwal Maulik https://t.co/qcwOU4Q2ib
Memoirs: Understanding Deep Learning Techniques for Image Segmentation. https://t.co/drivL8LZPy
disigandalf: RT @arxiv_cscv: Understanding Deep Learning Techniques for Image Segmentation https://t.co/HCx50t3qTW
yuliangxiu: RT @arxiv_cscv: Understanding Deep Learning Techniques for Image Segmentation https://t.co/HCx50t3qTW
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Sample Sizes : None.
Authors: 4
Total Words: 20440
Unqiue Words: 5252

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