2019.11.17 AI papers

 

11-13-2019

Deep learning velocity signals allows to quantify turbulence intensity
by Alessandro Corbetta et al

11-12-2019

MSDF: A Deep Reinforcement Learning Framework for Service Function Chain Migration
by Ruoyun Chen et al

11-14-2019

How do I fool you?: Manipulating User Trust via Misleading Black Box Explanations
by Himabindu Lakkaraju et al

11-12-2019

Schedule Earth Observation satellites with Deep Reinforcement Learning
by Adrien Hadj-Salah et al

11-12-2019

Improving Robustness of Task Oriented Dialog Systems
by Arash Einolghozati et al

11-12-2019

Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
by Benjamin Lengerich et al

11-13-2019

Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
by Haoyu Song et al

11-12-2019

Prediction of Bottleneck Points for Manipulation Planning in Cluttered Environment using a 3D Convolutional Neural Network
by Indraneel Patil et al

11-13-2019

SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability
by Sunil Mallya et al

11-12-2019

Learning from a Teacher using Unlabeled Data
by Gaurav Menghani et al

11-15-2019

Reusable neural skill embeddings for vision-guided whole body movement and object manipulation
by Josh Merel et al

11-15-2019

Towards Personalized Dialog Policies for Conversational Skill Discovery
by Maryam Fazel-Zarandi et al

11-12-2019

Predictive Multi-level Patient Representations from Electronic Health Records
by Zichang Wang et al

11-12-2019

EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping
by Abhishek Agarwal et al

11-13-2019

HDDL -- A Language to Describe Hierarchical Planning Problems
by D. Höller et al

11-12-2019

Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
by Tianyu Li et al

11-12-2019

Adversarial Examples in Modern Machine Learning: A Review
by Rey Reza Wiyatno et al

11-12-2019

Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling
by Tobias Geibinger et al

11-13-2019

Motion Reasoning for Goal-Based Imitation Learning
by De-An Huang et al

11-14-2019

Radically Compositional Cognitive Concepts
by Toby B. St Clere Smithe

11-15-2019

LIBRE: Learning Interpretable Boolean Rule Ensembles
by Graziano Mita et al

11-12-2019

Some Considerations and a Benchmark Related to the CNF Property of the Koczy-Hirota Fuzzy Rule Interpolation
by Maen Alzubi et al

11-12-2019

A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
by Yinhe Zheng et al

11-12-2019

Object-Centric Task and Motion Planning in Dynamic Environments
by Toki Migimatsu et al

11-13-2019

A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
by Ziqi Ke et al

11-14-2019

Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
by Hugo Gilbert et al

11-15-2019

A Policy Editor for Semantic Sensor Networks
by Paolo Pareti et al

11-12-2019

Constant Curvature Graph Convolutional Networks
by Gregor Bachmann et al

11-12-2019

Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier
by Kévin Cousot et al

11-12-2019

Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction
by Liangyi Kang et al

11-15-2019

Fair Data Adaptation with Quantile Preservation
by Drago Plečko et al

11-13-2019

Partial-Order, Partially-Seen Observations of Fluents or Actions for Plan Recognition as Planning
by Jennifer M. Nelson et al

11-12-2019

Aplib: Tactical Programming of Intelligent Agents
by I. S. W. B. Prasetya

11-12-2019

Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps
by Umaseh Sivanesan et al

11-12-2019

HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow
by Ammar Ahmad Awan et al

11-13-2019

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data
by Ajay Mandlekar et al

11-12-2019

Fairness-Aware Neural R\eyni Minimization for Continuous Features
by Vincent Grari et al

11-13-2019

Fair Adversarial Gradient Tree Boosting
by Vincent Grari et al

11-12-2019

Robustness to Capitalization Errors in Named Entity Recognition
by Sravan Bodapati et al

11-12-2019

Selective Brain Damage: Measuring the Disparate Impact of Model Pruning
by Sara Hooker et al

11-13-2019

Deception through Half-Truths
by Andrew Estornell et al

11-12-2019

Machine Intelligence at the Edge with Learning Centric Power Allocation
by Shuai Wang et al

11-13-2019

Reinforcement Learning-Driven Test Generation for Android GUI Applications using Formal Specifications
by Yavuz Koroglu et al

11-15-2019

Fine-grained Qualitative Spatial Reasoning about Point Positions
by Sören Schwertfeger

11-12-2019

Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction
by Yoonjung Kim et al

11-12-2019

Network Creation Games with Local Information and Edge Swaps
by Shotaro Yoshimura et al

11-15-2019

Forgetting to learn logic programs
by Andrew Cropper

11-14-2019

Election Control in Social Networks via Edge Addition or Removal
by Matteo Castiglioni et al

11-13-2019

Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning
by Faen Zhang et al

11-13-2019

Regression via Arbitrary Quantile Modeling
by Faen Zhang et al

 
Craig Smith