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Authors and titles for cs.LG in Jun 2017

[ total of 462 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 451-462 ]
[ showing 25 entries per page: fewer | more | all ]
[1]  arXiv:1706.00038 [pdf, other]
Title: Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Authors: Arash Vahdat
Comments: To appear in Neural Information Processing Systems (NIPS) 2017
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[2]  arXiv:1706.00043 [pdf, other]
Title: Biased Importance Sampling for Deep Neural Network Training
Subjects: Learning (cs.LG)
[3]  arXiv:1706.00046 [pdf, other]
Title: Learning Time-Efficient Deep Architectures with Budgeted Super Networks
Subjects: Learning (cs.LG)
[4]  arXiv:1706.00061 [pdf, other]
Title: The Sample Complexity of Online One-Class Collaborative Filtering
Comments: ICML 2017
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (stat.ML)
[5]  arXiv:1706.00074 [pdf, other]
Title: Free energy-based reinforcement learning using a quantum processor
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE); Optimization and Control (math.OC); Quantum Physics (quant-ph)
[6]  arXiv:1706.00095 [pdf, other]
Title: Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training
Subjects: Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[7]  arXiv:1706.00119 [pdf, ps, other]
Title: Subjective fairness: Fairness is in the eye of the beholder
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[8]  arXiv:1706.00241 [pdf, other]
Title: Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning
Subjects: Learning (cs.LG); Numerical Analysis (math.NA); Machine Learning (stat.ML)
[9]  arXiv:1706.00286 [pdf, other]
Title: Learning to Compute Word Embeddings On the Fly
Subjects: Learning (cs.LG); Computation and Language (cs.CL)
[10]  arXiv:1706.00290 [pdf, other]
Title: Transfer Learning for Speech Recognition on a Budget
Comments: Accepted for 2nd ACL Workshop on Representation Learning for NLP
Subjects: Learning (cs.LG); Computation and Language (cs.CL); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[11]  arXiv:1706.00387 [pdf, other]
Title: Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO)
[12]  arXiv:1706.00439 [pdf, other]
Title: Tensor Contraction Layers for Parsimonious Deep Nets
Subjects: Learning (cs.LG)
[13]  arXiv:1706.00505 [pdf, other]
Title: Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling
Subjects: Learning (cs.LG)
[14]  arXiv:1706.00531 [pdf, other]
Title: PixelGAN Autoencoders
Subjects: Learning (cs.LG)
[15]  arXiv:1706.00550 [pdf, other]
Title: On Unifying Deep Generative Models
Comments: major revision: added more materials/discussions/figures, fixed typos
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[16]  arXiv:1706.00587 [pdf]
Title: Learning-based Surgical Workflow Detection from Intra-Operative Signals
Comments: 7 pages, 4 figures
Subjects: Learning (cs.LG)
[17]  arXiv:1706.00633 [pdf, other]
Title: Robust Deep Learning via Reverse Cross-Entropy Training and Thresholding Test
Subjects: Learning (cs.LG)
[18]  arXiv:1706.00687 [pdf, ps, other]
Title: Weight Sharing is Crucial to Succesful Optimization
Subjects: Learning (cs.LG)
[19]  arXiv:1706.00754 [pdf, other]
Title: Learning causal Bayes networks using interventional path queries in polynomial time and sample complexity
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[20]  arXiv:1706.00764 [pdf, other]
Title: Hyperparameter Optimization: A Spectral Approach
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC); Machine Learning (stat.ML)
[21]  arXiv:1706.00820 [pdf, other]
Title: Information, Privacy and Stability in Adaptive Data Analysis
Authors: Adam Smith
Comments: 15 pages, first drafted February 2017. A version of this survey appears in the Information Theory Society Newsletter
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[22]  arXiv:1706.00834 [pdf, other]
Title: Online Dynamic Programming
Subjects: Learning (cs.LG)
[23]  arXiv:1706.00856 [pdf, other]
Title: Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data
Comments: The material presented here is to promote the dissemination of scholarly and technical work in a timely fashion. Data in this article are from ADNI (adni.loni.usc.edu). As such, ADNI provided data but did not participate in writing of this report
Subjects: Learning (cs.LG); Neurons and Cognition (q-bio.NC); Machine Learning (stat.ML)
[24]  arXiv:1706.00948 [pdf, ps, other]
Title: Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods
Subjects: Learning (cs.LG); Statistical Finance (q-fin.ST)
[25]  arXiv:1706.00977 [pdf, other]
Title: Thompson Sampling for the MNL-Bandit
Comments: Accepted for presentation at Conference on Learning Theory (COLT) 2017
Subjects: Learning (cs.LG)
[ total of 462 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 451-462 ]
[ showing 25 entries per page: fewer | more | all ]

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