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https://bytez.com/docs/arxiv/1807.09534/paper Conditional Information Gain Networks | Read Paper on Bytez Jul 25, 2018 - Deep neural network models owe their representational power to the high number of learnable parameters. It is often infeasible to run these largely... information gain read paper conditional networks bytez https://bytez.com/docs/arxiv/1807.09601/paper Linear Span Network for Object Skeleton Detection | Read Paper on Bytez Jul 25, 2018 - Robust object skeleton detection requires to explore rich representative visual features and effective feature fusion strategies. 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In natural language processing, argumenthood information is... prepositional phrases read paper predicting english https://bytez.com/docs/arxiv/1808.06638/paper Supervised Kernel PCA For Longitudinal Data | Read Paper on Bytez Aug 20, 2018 - In statistical learning, high covariate dimensionality poses challenges for robust prediction and inference. 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It begins with the description of the context upon which the project is... a summary of the project read description https://bytez.com/docs/arxiv/1901.06543/paper MOROCO: The Moldavian and Romanian Dialectal Corpus | Read Paper on Bytez Jan 19, 2019 - In this work, we introduce the MOldavian and ROmanian Dialectal COrpus (MOROCO), which is freely available for download at... read paper moroco moldavian romanian https://bytez.com/docs/arxiv/1808.09419/paper Identifying Well-formed Natural Language Questions | Read Paper on Bytez Aug 28, 2018 - Understanding search queries is a hard problem as it involves dealing with "word salad" text ubiquitously issued by users. However, if a query resembles a... natural language read paper identifying well formed https://bytez.com/docs/arxiv/1811.00944/paper Spectral Methods from Tensor Networks | Read Paper on Bytez Nov 2, 2018 - A tensor network is a diagram that specifies a way to "multiply" a collection of tensors together to produce another tensor (or matrix). Many existing... spectral methods tensor networks read paper bytez https://bytez.com/docs/arxiv/1808.08308/paper ParaNet - Using Dense Blocks for Early Inference | Read Paper on Bytez Aug 24, 2018 - DenseNets have been shown to be a competitive model among recent convolutional network architectures. 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Enhancement of Learning and Memory by Elevating Brain Magnesium. 65: 165. 5.1 LTP (10pt) ... read paper answered question https://bytez.com/docs/arxiv/1807.11139/paper Causal Modeling with Probabilistic Simulation Models | Read Paper on Bytez Jul 30, 2018 - Recent authors have proposed analyzing conditional reasoning through a notion of intervention on a simulation program, and have found a sound and complete... causal modeling simulation models read paper probabilistic bytez https://bytez.com/docs/arxiv/1811.01480/paper FairMod - Making Predictive Models Discrimination Aware | Read Paper on Bytez Nov 5, 2018 - Predictive models such as decision trees and neural networks may produce discrimination in their predictions. This paper proposes a method to post-process the... predictive models read paper making discrimination aware https://bytez.com/docs/arxiv/1901.08755/paper SecureBoost: A Lossless Federated Learning Framework | Read Paper on Bytez Jan 25, 2019 - The protection of user privacy is an important concern in machine learning, as evidenced by the rolling out of the General Data Protection Regulation (GDPR) in... federated learning read paper lossless framework bytez https://bytez.com/docs/arxiv/1808.04303/paper Rank-1 Convolutional Neural Network | Read Paper on Bytez Aug 13, 2018 - In this paper, we propose a convolutional neural network(CNN) with 3-D rank-1 filters which are composed by the outer product of 1-D filters. 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The proposed method is based on... artifact reduction read paper adversarial sparse view https://bytez.com/docs/arxiv/1811.01316/paper Nonlinear Collaborative Scheme for Deep Neural Networks | Read Paper on Bytez Nov 4, 2018 - Conventional research attributes the improvements of generalization ability of deep neural networks either to powerful optimizers or the new network design.... deep neural networks read paper nonlinear collaborative scheme https://paper-republic.org/pers/eric-abrahamsen/paha-nanjing-literature-event-new-read-paper-republic-series/ PAHA Nanjing Literature Event + New Read Paper Republic Series read paper paha nanjing literature event https://bytez.com/docs/arxiv/1808.00033/paper Techniques for Interpretable Machine Learning | Read Paper on Bytez Jul 31, 2018 - Interpretable machine learning tackles the important problem that humans cannot understand the behaviors of complex machine learning models and how these... machine learning read paper techniques bytez https://bytez.com/docs/arxiv/1812.00893/paper Domain Alignment with Triplets | Read Paper on Bytez Dec 3, 2018 - Deep domain adaptation methods can reduce the distribution discrepancy by learning domain-invariant embedddings. 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Our proposed method builds on the framework of generative... reinforcement learning read paper adversarial imitation via https://bytez.com/docs/arxiv/1810.03417/paper POLO: a POLicy-based Optimization library | Read Paper on Bytez Oct 8, 2018 - POLO is a free C++ library that helps researchers create and test new optimization algorithms easily and efficiently. It allows users to work with different... a policy read paper polo based optimization https://bytez.com/docs/arxiv/1811.04370/paper Improved Visual Relocalization by Discovering Anchor Points | Read Paper on Bytez Nov 11, 2018 - We address the visual relocalization problem of predicting the location and camera orientation or pose (6DOF) of the given input scene. 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Technically, the goal of an ISA$^2$ model is to predict... read paper isa intelligent speed adaptation https://bytez.com/docs/arxiv/1901.03403/paper Mean Estimation from One-Bit Measurements | Read Paper on Bytez Jan 10, 2019 - We consider the problem of estimating the mean of a symmetric log-concave distribution under the constraint that only a single bit per sample from this... read paper mean estimation one bit https://bytez.com/docs/arxiv/1807.10066/paper A Better Baseline for AVA | Read Paper on Bytez Jul 26, 2018 - We introduce a simple baseline for action localization on the AVA dataset. The model builds upon the Faster R-CNN bounding box detection framework, adapted to... read paper better baseline ava bytez https://bytez.com/docs/arxiv/1809.03776/paper Solving Non-identifiable Latent Feature Models | Read Paper on Bytez Sep 11, 2018 - Latent feature models (LFM)s are widely employed for extracting latent structures of data. 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