ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.02221
  4. Cited By
Deep multi-task mining Calabi-Yau four-folds

Deep multi-task mining Calabi-Yau four-folds

4 August 2021
Harold Erbin
Riccardo Finotello
Robin Schneider
M. Tamaazousti
ArXivPDFHTML

Papers citing "Deep multi-task mining Calabi-Yau four-folds"

25 / 25 papers shown
Title
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse
  Features for Person Re-identification
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
Abdallah Benzine
M. Seddik
Julien Desmarais
3DPC
39
6
0
18 Feb 2021
Explaining Neural Scaling Laws
Explaining Neural Scaling Laws
Yasaman Bahri
Ethan Dyer
Jared Kaplan
Jaehoon Lee
Utkarsh Sharma
54
260
0
12 Feb 2021
Machine Learning Calabi-Yau Four-folds
Machine Learning Calabi-Yau Four-folds
Yang-Hui He
A. Lukas
61
32
0
05 Sep 2020
Machine learning for complete intersection Calabi-Yau manifolds: a
  methodological study
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study
Harold Erbin
Riccardo Finotello
38
31
0
30 Jul 2020
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds
Harold Erbin
Riccardo Finotello
86
27
0
27 Jul 2020
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
131
14,883
0
18 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
662
41,736
0
28 May 2020
Detecting Symmetries with Neural Networks
Detecting Symmetries with Neural Networks
Sven Krippendorf
Marc Syvaeri
52
63
0
30 Mar 2020
Explore and Exploit with Heterotic Line Bundle Models
Explore and Exploit with Heterotic Line Bundle Models
Magdalena Larfors
Robin Schneider
51
38
0
10 Mar 2020
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
95
517
0
18 May 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
206
1,638
0
28 Dec 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
187
1,093
0
04 Jul 2018
Machine Learning CICY Threefolds
Machine Learning CICY Threefolds
Kieran Bull
Yang-Hui He
Vishnu Jejjala
Challenger Mishra
36
81
0
08 Jun 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
513
2,217
0
25 Jul 2017
Deep-Learning the Landscape
Deep-Learning the Landscape
Yang-Hui He
AI4CE
35
101
0
08 Jun 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
340
10,467
0
21 Jul 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
205
2,321
0
21 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
354
14,223
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
734
27,303
0
02 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
421
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
403
43,589
0
17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.5K
39,472
0
01 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
507
27,263
0
01 Sep 2014
1