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TITLE
DATE
VIEWS
Memory Lens: How Much Memory Does an Agent Use?
By Christoph Dann, Katja Hofmann, Sebastian Nowozin · ArXiv: 1611.06928
2016-11-22
0
Learning From Graph Neighborhoods Using LSTMs
By Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos · ArXiv: 1611.06882
2016-11-22
0
Emergence of Compositional Representations in Restricted Boltzmann Machines
By Jer^ome Tubiana (LPTENS), Remi Monasson (LPTENS) · ArXiv: 1611.06759
2017-04-05
0
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
By Zhiguang Wang, Weizhong Yan, Tim Oates · ArXiv: 1611.06455
2016-12-15
0
Determining the Veracity of Rumours on Twitter
By Georgios Giasemidis, Colin Singleton, Ioannis Agrafiotis · ArXiv: 1611.06314
2016-11-22
0
Local minima in training of neural networks
By Grzegorz Swirszcz, Wojciech Marian Czarnecki, Razvan Pascanu · ArXiv: 1611.06310
2017-02-20
1
Deep Clustering and Conventional Networks for Music Separation: Stronger Together
By Yi Luo, Zhuo Chen, John R. Hershey · ArXiv: 1611.06265
2017-11-30
0
Spikes as regularizers
By Anders S{o}gaard · ArXiv: 1611.06245
2016-11-23
0
Foundations of Structural Causal Models with Cycles and Latent Variables
By Stephan Bongers, Patrick Forre, Jonas Peters · ArXiv: 1611.06221
2021-11-23
0
GaDei: On Scale-up Training As A Service For Deep Learning
By Wei Zhang, Minwei Feng, Yunhui Zheng · ArXiv: 1611.06213
2017-10-05
1
Expert Gate: Lifelong Learning with a Network of Experts
By Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars · ArXiv: 1611.06194
2017-04-20
0
Variable Computation in Recurrent Neural Networks
By Yacine Jernite, Edouard Grave, Arm · ArXiv: 1611.06188
2017-03-06
0
Learning Interpretability for Visualizations using Adapted Cox Models through a User Experiment
By Adrien Bibal, Benoit Frenay · ArXiv: 1611.06175
2016-11-21
0
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures
By Shihao Ji, Nadathur Satish, Sheng Li · ArXiv: 1611.06172
2016-12-26
0
On $p$-values
By Laurie Davies · ArXiv: 1611.06168
2016-11-21
0
Compacting Neural Network Classifiers via Dropout Training
By Yotaro Kubo, George Tucker, Simon Wiesler · ArXiv: 1611.06148
2017-05-25
0
Faster variational inducing input Gaussian process classification
By Pavel Izmailov, Dmitry Kropotov · ArXiv: 1611.06132
2016-11-21
0
Robust and Scalable Column/Row Sampling from Corrupted Big Data
By Mostafa Rahmani, George Atia · ArXiv: 1611.05977
2016-11-21
0
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance
By Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin · ArXiv: 1611.05817
2016-11-18
0
Filling the gaps: Gaussian mixture models from noisy, truncated or incomplete samples
By Peter Melchior, Andy D. Goulding · ArXiv: 1611.05806
2020-09-17
0
Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
By Jacob Abernethy (University of Michigan), Cyrus Anderson (University of Michigan), Alex Chojnacki (University of Michigan) · ArXiv: 1611.05788
2016-11-18
0
Towards the Modeling of Behavioral Trajectories of Users in Online Social Media
By Aless, ro Bessi · ArXiv: 1611.05778
2016-12-09
0
Learning to reinforcement learn
By Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala · ArXiv: 1611.05763
2017-01-24
0
Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization
By Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe · ArXiv: 1611.05527
2016-11-18
0
The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems
By Nicolas Garcia Trillos, Daniel Sanz-Alonso · ArXiv: 1611.05475
2017-06-28
0
Embedding Projector: Interactive Visualization and Interpretation of Embeddings
By Daniel Smilkov, Nikhil Thorat, Charles Nicholson · ArXiv: 1611.05469
2016-11-18
0
ProjE: Embedding Projection for Knowledge Graph Completion
By Baoxu Shi, Tim Weninger · ArXiv: 1611.05425
2016-11-17
0
Kalman-Takens filtering in the presence of dynamical noise
By Franz Hamilton, Tyrus Berry, Timothy Sauer · ArXiv: 1611.05414
2018-01-17
0
Correcting biased observation model error in data assimilation
By John Harlim, Tyrus Berry · ArXiv: 1611.05405
2016-11-17
1
Neural Style Representations and the Large-Scale Classification of Artistic Style
By Jeremiah Johnson · ArXiv: 1611.05368
2019-06-04
0
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