Super Interesting Research Papers In Machine Learning And AI

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Building Machines That Learn and Think Like People

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

A Neural Conversational Model

DeepMind’s Mastering the game of Go with deep neural networks and tree search

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

Human-level concept learning through probabilistic program induction

Deep Visual-Semantic Alignments for Generating Image Descriptions

On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models

Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents

GoogleBrain’s WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia

DeepMind’s Matching Networks for One-Shot Learning

Facebook AI Research on Neural Nets dreaming natural images

Scientists construct first detailed map of how the brain organizes everything we see

DeepMind’s Human-level control through deep reinforcement learning

ImageNet Classification with Deep Convolutional Neural Networks

The AGI Containment Problem

Deep Reinforcement Learning with a Natural Language Action Space (Uses Deep Q-learning to play text games by reading descriptions and offered text actions)

Alignment For Advanced Machine Learning Systems

Big data paper shows stock market trades behave like light bulbs

Layer Normalization To Speed Up Convergence In Neural Networks

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

Preserving Color in Neural Artistic Style Transfer

Successor Features for Transfer in Reinforcement Learning

Improved Techniques for Training GANs

On Random Weights and Unsupervised Feature Learning

Machine Learning Classic: Parsimonious Binary Classification Trees

node2vec: Scalable Feature Learning for Networks

Deep Learning in Neural Networks: An Overview

Neural Programmer−Interpreters (ICLR Deep Learning Conference – Best Paper Award)

AI² : Training a big data machine to defend

Visual Storytelling by Microsoft SIND

The State of the Text Analytics Industry

Strategic Implications of Openness in AI Development

Dynamic Memory Networks for Visual and Textual Question Answering

Defining human values for value learners (Relevance of moral psychology to constructing AI)

Social Networks Under Stress

Working with Big Data, the Next Industrial Revolution (Quantifying Controversy on Social Media)

Neural Networks, Human Perception and Modern Buddhism

Ensemble of Exemplar-SVMs for Object Detection and Beyond

Ensembling neural networks: Many could be better than all

Parameterised verification for multi-agent systems

e-NSP: Efficient negative sequential pattern mining

On agent-based software engineering

Creativity and artificial intelligence

Embodied Cognition: A field guide

Monte-Carlo tree search and rapid action value estimation in computer Go

Hidden semi-Markov models

Planning and acting in partially observable stochastic domains

Argumentation in artificial intelligence

An open-source toolkit for mining Wikipedia

Learning to act using real-time dynamic programming

Unsupervised named-entity extraction from the Web: An experimental study

Technology, Technique, Interplay: Questioning Die Frage nach der Technik

Automatic basis selection for RBF networks using Stein’s unbiased risk estimator

Image transform bootstrapping and its applications to semantic scene classification

A Survey of Intelligent Language Tutoring Systems

Numerical solution of elliptic partial differential equation by growing radial basis function neural networks

On the power of clause-learning SAT solvers as resolution engines

K⁎: A heuristic search algorithm for finding the k shortest paths

Selection of relevant features and examples in machine learning

Wrappers for feature subset selection for learning algorithms

Towards more expressive ontology languages: The query answering problem

Automated Negotiation: Evaluating practical negotiating agents

YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia

BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network

Multi-instance multi-label learning

Semantic linking through spaces for cyber-physical-socio intelligence: A methodology

On rules with existential variables: Walking the decidability line

An open-source toolkit for mining Wikipedia

Conflict-driven answer set solving: From theory to practice

Preferences in AI: An overview

Evidential reasoning rule for evidence combination

SAT-based MaxSAT algorithms

Multiple instance classification: Review, taxonomy and comparative study

Local search with edge weighting and configuration checking heuristics for minimum vertex cover

Object Recognition from Local Scale-Invariant Features

Spin-Images: A Representation for 3-D Surface Matching

Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons

A sparse texture representation using local affine regions

Histograms of Oriented Gradients for Human Detection

A performance evaluation of local descriptors

SURF: Speeded Up Robust Features

Collaborative Filtering Recommender Systems

The Influence Limiter: Provably Manipulation-Resistant Recommender Systems

LSTM Networks for Sentiment Analysis

Item-Based Collaborative Filtering Recommendation Algorithms

Latent Semantic Models for Collaborative Filtering

Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo