2019.05.12 AI papers

 

05-08-2019

Meta-learning of Sequential Strategies
by Pedro A. Ortega et al

05-09-2019

The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study
by Daniel S. Park et al

05-08-2019

Learning to Evolve
by Jan Schuchardt et al

05-09-2019

Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination
by Ruixue Liu et al

05-08-2019

AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
by Jiong Zhang et al

05-07-2019

MASS: Masked Sequence to Sequence Pre-training for Language Generation
by Kaitao Song et al

05-09-2019

Learning Representations for Predicting Future Activities
by Mohammadreza Zolfaghari et al

05-08-2019

Advancements in Image Classification using Convolutional Neural Network
by Farhana Sultana et al

05-09-2019

Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions
by Jason Ramapuram et al

05-09-2019

Interactive Image Generation Using Scene Graphs
by Gaurav Mittal et al

05-08-2019

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
by Soujanya Poria et al

05-10-2019

The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems
by K. Darshana Abeyrathna et al

05-10-2019

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
by K. Darshana Abeyrathna et al

05-09-2019

Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
by Baojian Zhou et al

05-10-2019

Survey on Evaluation Methods for Dialogue Systems
by Jan Deriu et al

05-07-2019

Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
by Giorgos Bouritsas et al

05-09-2019

Limits of Deepfake Detection: A Robust Estimation Viewpoint
by Sakshi Agarwal et al

05-10-2019

GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
by Yuxiu Hua et al

05-09-2019

Pretrain Soft Q-Learning with Imperfect Demonstrations
by Xiaoqin Zhang et al

05-07-2019

Understanding attention in graph neural networks
by Boris Knyazev et al

05-07-2019

Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
by Seungyul Han et al

05-10-2019

Reinforcement Learning in Non-Stationary Environments
by Sindhu Padakandla et al

05-10-2019

Attention-based Deep Reinforcement Learning for Multi-view Environments
by Elaheh Barati et al

05-07-2019

RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
by Aditya Pingle et al

05-07-2019

Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review
by Benyamin Ghojogh et al

05-08-2019

Endoscopy artifact detection (EAD 2019) challenge dataset
by Sharib Ali et al

05-08-2019

Robust Federated Training via Collaborative Machine Teaching using Trusted Instances
by Yufei Han et al

05-09-2019

Building 3D Object Models during Manipulation by Reconstruction-Aware Trajectory Optimization
by Kanrun Huang et al

05-09-2019

1D Convolutional Neural Networks and Applications: A Survey
by Serkan Kiranyaz et al

05-07-2019

FANTrack: 3D Multi-Object Tracking with Feature Association Network
by Erkan Baser et al

05-09-2019

Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning
by Xinyu You et al

05-08-2019

SMT-based Constraint Answer Set Solver EZSMT+
by Da Shen et al

05-07-2019

Cyber-All-Intel: An AI for Security related Threat Intelligence
by Sudip Mittal et al

05-07-2019

Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
by Masanari Kimura et al

05-10-2019

Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy
by Patrik Christen et al

05-10-2019

On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes
by Stefan Rudolph et al

05-08-2019

A new direction to promote the implementation of artificial intelligence in natural clinical settings
by Yunyou Huang et al

05-10-2019

Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning
by Abdulmajid Murad et al

05-10-2019

Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
by Yan Xu et al

05-08-2019

Variable Neighborhood Search for the Bin Packing Problem with Compatible Categories
by Luiz F. O. Moura Santos et al

05-10-2019

Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning
by Andrei Claudiu Roibu

05-10-2019

Quantifying Teaching Behaviour in Robot Learning from Demonstration
by Aran Sena et al

05-08-2019

AI Enabling Technologies: A Survey
by Vijay Gadepally et al

05-10-2019

Do Autonomous Agents Benefit from Hearing?
by Abraham Woubie et al

05-10-2019

Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model
by Tong Wang et al

05-10-2019

AI in the media and creative industries
by Giuseppe Amato et al

05-09-2019

Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models
by Sungjae Cho et al

05-09-2019

Integrating Artificial Intelligence into Weapon Systems
by Philip Feldman et al

05-08-2019

2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for Image Retrieval
by Bin Yang et al

05-07-2019

Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study
by Chihye Han et al

05-07-2019

Learned human-agent decision-making, communication and joint action in a virtual reality environment
by Patrick M. Pilarski et al

05-08-2019

Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies
by Shuo Feng et al

05-07-2019

Continual and Multi-task Reinforcement Learning With Shared Episodic Memory
by Artyom Y. Sorokin et al

05-10-2019

Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning
by Carsten Hahn et al

05-09-2019

A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem
by Luca Mossina et al

05-10-2019

Semi-supervised and Population Based Training for Voice Commands Recognition
by Oguz H. Elibol et al

05-07-2019

Object Exchangeability in Reinforcement Learning: Extended Abstract
by John Mern et al

05-10-2019

Robust Goal Recognition with Operator-Counting Heuristics
by Felipe Meneguzzi et al

05-10-2019

Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling
by Thomy Phan et al

05-08-2019

General Method for Prime-point Cyclic Convolution over the Real Field
by Qi Cai et al

05-07-2019

ArCo: the Italian Cultural Heritage Knowledge Graph
by Valentina Anita Carriero et al

05-07-2019

Autonomous Open-Ended Learning of Interdependent Tasks
by Vieri Giuliano Santucci et al

05-07-2019

Descriptive evaluation of students using fuzzy approximate reasoning
by Mohsen Annabestani et al

05-07-2019

Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process
by Wen Dong et al

 
Craig Smith