2019.04.07 CA AI papers

 

04-03-2019

VideoBERT: A Joint Model for Video and Language Representation Learning
by Chen Sun et al

04-04-2019

A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety
by A. M. Nascimento et al

04-04-2019

Robust Evaluation of Language-Brain Encoding Experiments
by Lisa Beinborn et al

04-05-2019

Structured agents for physical construction
by Victor Bapst et al

04-04-2019

Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography
by Mirko Gschwindt et al

04-03-2019

Generative Adversarial Networks for text using word2vec intermediaries
by Akshay Budhkar et al

04-04-2019

T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
by Jean Kossaifi et al

04-02-2019

Mirroring to Build Trust in Digital Assistants
by Katherine Metcalf et al

04-04-2019

Learning to Decipher Hate Symbols
by Jing Qian et al

04-04-2019

Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
by Kai Olav Ellefsen et al

04-03-2019

Continuous Direct Sparse Visual Odometry from RGB-D Images
by Maani Ghaffari et al

04-03-2019

Random Projection in Neural Episodic Control
by Daichi Nishio et al

04-05-2019

Convolutional Self-Attention Networks
by Baosong Yang et al

04-02-2019

Learning Algorithms via Neural Logic Networks
by Ali Payani et al

04-03-2019

Generalized Variational Inference
by Jeremias Knoblauch et al

04-03-2019

Robust Multi-agent Counterfactual Prediction
by Alexander Peysakhovich et al

04-02-2019

A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging
by Li Yao et al

04-04-2019

An End-to-End Baseline for Video Captioning
by Silvio Olivastri et al

04-02-2019

Improving Robot Success Detection using Static Object Data
by Rosario Scalise et al

04-04-2019

Meta-Learning Acquisition Functions for Bayesian Optimization
by Michael Volpp et al

04-03-2019

Robust Deep Gaussian Processes
by Jeremias Knoblauch

04-04-2019

Unifying Human and Statistical Evaluation for Natural Language Generation
by Tatsunori B. Hashimoto et al

04-02-2019

On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning
by Ya Li et al

04-05-2019

Modeling Recurrence for Transformer
by Jie Hao et al

04-04-2019

Affect-Driven Dialog Generation
by Pierre Colombo et al

04-03-2019

Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning
by Heng Wang et al

04-02-2019

Automatic Left Atrial Appendage Orifice Detection for Preprocedural Planning of Appendage Closure
by Walid Abdullah Al et al

04-04-2019

Topic Spotting using Hierarchical Networks with Self Attention
by Pooja Chitkara et al

04-05-2019

CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors
by Ipek Baris et al

04-04-2019

A Categorisation of Post-hoc Explanations for Predictive Models
by John Mitros et al

04-05-2019

Information Aggregation for Multi-Head Attention with Routing-by-Agreement
by Jian Li et al

04-02-2019

SADIH: Semantic-Aware DIscrete Hashing
by Zheng Zhang et al

04-03-2019

Recognition of Advertisement Emotions with Application to Computational Advertising
by Abhinav Shukla et al

04-04-2019

Graph Pattern Entity Ranking Model for Knowledge Graph Completion
by Takuma Ebisu et al

04-04-2019

Video Classification with Channel-Separated Convolutional Networks
by Du Tran et al

04-04-2019

Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
by Ralph Abboud et al

04-04-2019

Explaining versus Describing Human Decisions. Hilbert Space Structures in Decision Theory
by Sandro Sozzo

04-03-2019

Interpreting Adversarial Examples by Activation Promotion and Suppression
by Kaidi Xu et al

04-04-2019

An Evolutionary Framework for Automatic and Guided Discovery of Algorithms
by Ruchira Sasanka et al

04-04-2019

Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments
by Xin Huang et al

04-02-2019

Hammering Mizar by Learning Clause Guidance
by Jan Jakubův et al

04-02-2019

Augmented Utilitarianism for AGI Safety
by Nadisha-Marie Aliman et al

04-05-2019

Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models
by Ga Wu et al

04-04-2019

Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
by Jiachen Li et al

04-03-2019

Identifying Patient Groups based on Frequent Patterns of Patient Samples
by Seyed Amin Tabatabaei et al

04-05-2019

Reducing catastrophic forgetting when evolving neural networks
by Joseph Early

04-05-2019

Data Shapley: Equitable Valuation of Data for Machine Learning
by Amirata Ghorbani et al

04-02-2019

Are Query-Based Ontology Debuggers Really Helping Knowledge Engineers?
by Patrick Rodler et al

04-05-2019

Combining Offline Models and Online Monte-Carlo Tree Search for Planning from Scratch
by Yunlong Liu et al

04-02-2019

A Game of Dice: Machine Learning and the Question Concerning Art
by Paul Todorov

04-04-2019

Planning under risk and uncertainty based on Prospect-theoretic models
by Aamodh Suresh et al

04-03-2019

Personalized Bundle List Recommendation
by Jinze Bai et al

04-03-2019

Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor
by Ivan Bravi et al

 
Craig Smith