2019.06.02 AI papers

05-28-2019	SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver by Po-Wei Wang et al
05-28-2019	Using local plasticity rules to train recurrent neural networks by Owen Marschall et al
05-28-2019	Cerberus: A Multi-headed Derenderer by Boyang Deng et al
05-30-2019	What Can Neural Networks Reason About? by Keyulu Xu et al
05-29-2019	Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology by Eugene Ie et al
05-29-2019	Size-free generalization bounds for convolutional neural networks by Philip M. Long et al
05-29-2019	Emergence of Object Segmentation in Perturbed Generative Models by Adam Bielski et al
05-28-2019	Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain) by Mariya Toneva et al
05-30-2019	Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels by Simon S. Du et al
05-30-2019	Does computer vision matter for action? by Brady Zhou et al
05-29-2019	Batch weight for domain adaptation with mass shift by Mikołaj Bińkowski et al
05-28-2019	Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning by Sindy Löwe et al
05-29-2019	Anti-efficient encoding in emergent communication by Rahma Chaabouni et al
05-28-2019	Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics by Giancarlo Kerg et al
05-30-2019	Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience by Vaishnavh Nagarajan et al
05-28-2019	Unsupervised Learning from Video with Deep Neural Embeddings by Chengxu Zhuang et al
05-30-2019	Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence by Aditya Golatkar et al
05-30-2019	Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention by Wenhu Chen et al
05-28-2019	Learning Portable Representations for High-Level Planning by Steven James et al
05-29-2019	Learning Multilingual Word Embeddings Using Image-Text Data by Karan Singhal et al
05-30-2019	MolecularRNN: Generating realistic molecular graphs with optimized properties by Mariya Popova et al
05-29-2019	An adaptive nearest neighbor rule for classification by Akshay Balsubramani et al
05-28-2019	Leveraging Medical Visual Question Answering with Supporting Facts by Tomasz Kornuta et al
05-30-2019	Hierarchical Transformers for Multi-Document Summarization by Yang Liu et al
05-28-2019	Generation of Policy-Level Explanations for Reinforcement Learning by Nicholay Topin et al
05-28-2019	Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs by Tejas Gokhale et al
05-29-2019	Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning by Daniele Bonadiman et al
05-28-2019	LatentGNN: Learning Efficient Non-local Relations for Visual Recognition by Songyang Zhang et al
05-28-2019	GraphNVP: An Invertible Flow Model for Generating Molecular Graphs by Kaushalya Madhawa et al
05-30-2019	A Compare-Aggregate Model with Latent Clustering for Answer Selection by Seunghyun Yoon et al
05-31-2019	MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension by Alon Talmor et al
05-29-2019	On the Generalization Gap in Reparameterizable Reinforcement Learning by Huan Wang et al
05-28-2019	Interactive Teaching Algorithms for Inverse Reinforcement Learning by Parameswaran Kamalaruban et al
05-29-2019	Word-order biases in deep-agent emergent communication by Rahma Chaabouni et al
05-30-2019	Combating the Compounding-Error Problem with a Multi-step Model by Kavosh Asadi et al
05-30-2019	Towards Finding Longer Proofs by Zsolt Zombori et al
05-28-2019	Triple2Vec: Learning Triple Embeddings from Knowledge Graphs by Valeria Fionda et al
05-29-2019	Fairness and Missing Values by Fernando Martínez-Plumed et al
05-28-2019	Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning by Shariq Iqbal et al
05-28-2019	On Dropout and Nuclear Norm Regularization by Poorya Mianjy et al
05-29-2019	Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering by Weichang Wu et al
05-28-2019	Heuristics in Multi-Winner Approval Voting by Jaelle Scheuerman et al
05-30-2019	Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics (Full Version) by Vladislav Ryzhikov et al
05-29-2019	Evaluating structure learning algorithms with a balanced scoring function by Anthony Constantinou
05-30-2019	Neural Consciousness Flow by Xiaoran Xu et al
05-29-2019	Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation by Vihan Jain et al
05-29-2019	Learning Navigation Subroutines by Watching Videos by Ashish Kumar et al
05-28-2019	Using Ontologies To Improve Performance In Massively Multi-label Prediction Models by Ethan Steinberg et al
05-30-2019	On Value Functions and the Agent-Environment Boundary by Nan Jiang
05-28-2019	Exploiting Persona Information for Diverse Generation of Conversational Responses by Haoyu Song et al
05-28-2019	Accelerating Extreme Classification via Adaptive Feature Agglomeration by Ankit Jalan et al
05-29-2019	Active Learning in the Overparameterized and Interpolating Regime by Mina Karzand et al
05-30-2019	Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations by Brijen Thananjeyan et al
05-28-2019	A Parameterized Perspective on Protecting Elections by Palash Dey et al
05-29-2019	Unpredictability of AI by Roman V. Yampolskiy
05-30-2019	Reinforcement Learning for Mean Field Game by Nilay Tiwari et al
05-29-2019	Adversarial Sub-sequence for Text Generation by Xingyuan Chen et al
05-29-2019	Designing and Implementing Data Warehouse for Agricultural Big Data by Vuong M. Ngo et al
05-29-2019	Where is the Information in a Deep Neural Network? by Alessandro Achille et al
05-30-2019	A survey of advances in vision-based vehicle re-identification by Sultan Daud Khan et al
05-31-2019	Attention Is (not) All You Need for Commonsense Reasoning by Tassilo Klein et al
05-29-2019	Modeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control by Ismael T. Freire et al
05-28-2019	Composing Neural Algorithms with Fugu by James B Aimone et al
05-29-2019	Adversarial Imitation Learning from Incomplete Demonstrations by Mingfei Sun et al
05-29-2019	Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection by Hyunwook Kang et al
05-31-2019	Foundations of Digital Arch{\ae}oludology by Cameron Browne et al
05-31-2019	Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation by Tianyu Zhao et al
05-31-2019	Interval timing in deep reinforcement learning agents by Ben Deverett et al
05-30-2019	Provably Efficient Q-Learning with Low Switching Cost by Yu Bai et al
05-29-2019	Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering by Liwei Wu et al
05-30-2019	Learning Compositional Neural Programs with Recursive Tree Search and Planning by Thomas Pierrot et al
05-29-2019	Flexible Mining of Prefix Sequences from Time-Series Traces by Antonio Anastasio Bruto da Costa et al
05-31-2019	TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection by Lin Song et al
05-28-2019	LeTS-Drive: Driving in a Crowd by Learning from Tree Search by Panpan Cai et al
05-30-2019	Using Restart Heuristics to Improve Agent Performance in Angry Birds by Tommy Liu et al
05-31-2019	Crowdsourcing and Validating Event-focused Emotion Corpora for German and English by Enrica Troiano et al
05-28-2019	Guarantees for Sound Abstractions for Generalized Planning (Extended Paper) by Blai Bonet et al
05-28-2019	Asymptotically Unambitious Artificial General Intelligence by Michael K Cohen et al
05-29-2019	Cognitively-inspired Agent-based Service Composition for Mobile & Pervasive Computing by Oscar J. Romero
05-31-2019	Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System by Tomoyuki Kajiwara et al
05-30-2019	Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies by Aftab Khan et al
05-31-2019	Implicit Regularization in Deep Matrix Factorization by Sanjeev Arora et al
05-29-2019	Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences by Xing Liu et al
05-30-2019	Supervised Online Hashing via Similarity Distribution Learning by Mingbao Lin et al
05-28-2019	Constructing High Precision Knowledge Bases with Subjective and Factual Attributes by Ari Kobren et al
05-29-2019	A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems by Frank van Harmelen et al
05-29-2019	Recurrent Existence Determination Through Policy Optimization by Baoxiang Wang
05-29-2019	Advantage Amplification in Slowly Evolving Latent-State Environments by Martin Mladenov et al
05-29-2019	Definitively Identifying an Inherent Limitation to Actual Cognition by Arthur Charlesworth
05-29-2019	An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient by Pan Xu et al
05-28-2019	Planning with State Abstractions for Non-Markovian Task Specifications by Yoonseon Oh et al
05-29-2019	Meta-Learning Representations for Continual Learning by Khurram Javed et al
05-30-2019	Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections by Raanan Y. Rohekar et al
05-30-2019	Quantifying consensus of rankings based on q-support patterns by Zhengui Xue et al
05-31-2019	Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation by Mengxi Jiang et al
05-31-2019	Augmenting Transfer Learning with Semantic Reasoning by Freddy Lecue et al
05-29-2019	Dont Forget Your Teacher: A Corrective Reinforcement Learning Framework by Mohammadreza Nazari et al
05-31-2019	Multiple Policy Value Monte Carlo Tree Search by Li-Cheng Lan et al
05-31-2019	Ordinal Bucketing for Game Trees using Dynamic Quantile Approximation by Tobias Joppen et al
05-30-2019	Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series by Zhi-Xuan Tan et al
05-31-2019	Explainability Techniques for Graph Convolutional Networks by Federico Baldassarre et al
05-30-2019	A Value-based Trust Assessment Model for Multi-agent Systems by Kinzang Chhogyal et al
05-30-2019	Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential by Risto Miikkulainen et al
05-30-2019	Recent Advances in Imitation Learning from Observation by Faraz Torabi et al
05-31-2019	Graduated Fidelity Lattices for Motion Planning under Uncertainty by Adrián González-Sieira et al
05-29-2019	Approaching Adaptation Guided Retrieval in Case-Based Reasoning through Inference in Undirected Graphical Models by Luigi Portinale