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Authors and titles for recent submissions

[ total of 118 entries: 1-25 | 26-50 | 51-75 | 76-100 | 101-118 ]
[ showing 25 entries per page: fewer | more | all ]

Fri, 22 Sep 2017

[1]  arXiv:1709.07377 [pdf, other]
Title: Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE
Comments: 22 pages, 15 figures
Subjects: Learning (cs.LG)
[2]  arXiv:1709.07314 [pdf, ps, other]
Title: Exact Learning of Lightweight Description Logic Ontologies
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO)
[3]  arXiv:1709.07172 [pdf, ps, other]
Title: SpectralFPL: Online Spectral Learning for Single Topic Models
Comments: 8 pages, 5 figures
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[4]  arXiv:1709.07149 [pdf, ps, other]
Title: Learning RBM with a DC programming Approach
Comments: Accepted in ACML2017
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[5]  arXiv:1709.07116 [pdf, other]
Title: Variational Memory Addressing in Generative Models
Subjects: Learning (cs.LG)
[6]  arXiv:1709.07093 [pdf, other]
Title: Near Optimal Sketching of Low-Rank Tensor Regression
Comments: 36 pages, 2 figures, 2 tables, Accepted at NIPS 2017
Subjects: Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)
[7]  arXiv:1709.06994 [pdf, other]
Title: Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration
Comments: 7 pages, CNN model compression and acceleration
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[8]  arXiv:1709.07433 (cross-list from stat.ML) [pdf, other]
Title: Perturbative Black Box Variational Inference
Comments: Neural Information Processing Systems (NIPS 2017), to appear. Joint first authorship of first two mentioned authors
Subjects: Machine Learning (stat.ML); Learning (cs.LG)
[9]  arXiv:1709.07417 (cross-list from cs.AI) [pdf, other]
Title: Neural Optimizer Search with Reinforcement Learning
Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG); Machine Learning (stat.ML)
[10]  arXiv:1709.07409 (cross-list from quant-ph) [pdf, other]
Title: Quantum Autoencoders via Quantum Adders with Genetic Algorithms
Subjects: Quantum Physics (quant-ph); Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)
[11]  arXiv:1709.07359 (cross-list from stat.ML) [pdf, other]
Title: Class-Splitting Generative Adversarial Networks
Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)
[12]  arXiv:1709.07308 (cross-list from cs.DS) [pdf, other]
Title: Predicting Positive and Negative Links with Noisy Queries: Theory & Practice
Comments: 17 pages, 12 figures. arXiv admin note: text overlap with arXiv:1609.00750
Subjects: Data Structures and Algorithms (cs.DS); Discrete Mathematics (cs.DM); Learning (cs.LG); Social and Information Networks (cs.SI); Combinatorics (math.CO)
[13]  arXiv:1709.07224 (cross-list from cs.MA) [pdf, other]
Title: Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning
Comments: 8 pages, 6 figures, version 1
Subjects: Multiagent Systems (cs.MA); Artificial Intelligence (cs.AI); Learning (cs.LG); Systems and Control (cs.SY); Machine Learning (stat.ML)
[14]  arXiv:1709.07223 (cross-list from cs.CV) [pdf, other]
Title: Convolutional neural networks that teach microscopes how to image
Comments: 13 pages, 6 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG); Optics (physics.optics)
[15]  arXiv:1709.07200 (cross-list from cs.CV) [pdf, other]
Title: Temporal Multimodal Fusion for Video Emotion Classification in the Wild
Journal-ref: ACM - ICMI 2017, Nov 2017, Glasgow, United Kingdom
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Multimedia (cs.MM)
[16]  arXiv:1709.07150 (cross-list from cs.AI) [pdf, other]
Title: Feature Engineering for Predictive Modeling using Reinforcement Learning
Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG); Machine Learning (stat.ML)
[17]  arXiv:1709.07124 (cross-list from cs.SD) [pdf, other]
Title: Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding
Comments: To be presented at WASPAA 2017
Subjects: Sound (cs.SD); Learning (cs.LG); Machine Learning (stat.ML)
[18]  arXiv:1709.07109 (cross-list from cs.CL) [pdf, other]
Title: Deconvolutional Latent-Variable Model for Text Sequence Matching
Subjects: Computation and Language (cs.CL); Learning (cs.LG); Machine Learning (stat.ML)
[19]  arXiv:1709.07089 (cross-list from cs.SY) [pdf, other]
Title: On the Design of LQR Kernels for Efficient Controller Learning
Comments: 8 pages, 5 figures, to appear in 56th IEEE Conference on Decision and Control (CDC 2017)
Subjects: Systems and Control (cs.SY); Learning (cs.LG); Machine Learning (stat.ML)
[20]  arXiv:1709.07077 (cross-list from cs.CV) [pdf, other]
Title: Estimated Depth Map Helps Image Classification
Authors: Yihui He
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)

Thu, 21 Sep 2017 (showing first 5 of 22 entries)

[21]  arXiv:1709.06922 [pdf, other]
Title: Stock-out Prediction in Multi-echelon Networks
Subjects: Learning (cs.LG)
[22]  arXiv:1709.06709 [pdf, other]
Title: Online Learning of a Memory for Learning Rates
Comments: submitted to ICRA 2018
Subjects: Learning (cs.LG)
[23]  arXiv:1709.06683 [pdf, other]
Title: OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Subjects: Learning (cs.LG)
[24]  arXiv:1709.06617 [pdf, other]
Title: A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
Authors: Ben London
Comments: To appear in Neural Information Processing Systems (NIPS) 2017
Subjects: Learning (cs.LG)
[25]  arXiv:1709.06560 [pdf, other]
Title: Deep Reinforcement Learning that Matters
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[ total of 118 entries: 1-25 | 26-50 | 51-75 | 76-100 | 101-118 ]
[ showing 25 entries per page: fewer | more | all ]

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