Selecting Near-Optimal Learners via Incremental Data Allocation
Comments AAAI-2016: The Thirtieth AAAI Conference on Artificial Intelligence
期刊&会议
AAAI
AAAI Conference on Artificial Intelligence · 会议 · Artificial Intelligence
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Comments AAAI 2016
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models
Comments AAAI 2016
Deep Learning with S-shaped Rectified Linear Activation Units
Comments Accepted by AAAI-16
On the Differential Privacy of Bayesian Inference
Comments AAAI 2016, Feb 2016, Phoenix, Arizona, United States
Constrained Sampling and Counting: Universal Hashing Meets SAT Solving
Comments Appears in proceedings of AAAI-16 Workshop on Beyond NP
Reading Scene Text in Deep Convolutional Sequences
Comments To appear in the 13th AAAI Conference on Artificial Intelligence (AAAI-16), 2016
Modeling Progress in AI
Comments AAAI 2016 Workshop on AI, Ethics, and Society
Learning the Preferences of Ignorant, Inconsistent Agents
Comments AAAI 2016
Characterizing the Demographics Behind the #BlackLivesMatter Movement
Comments 9 pages, 7 figures, accepted to AAAI Spring Symposia on Observational Studies through Social Media and Other Human-Generated Content, Stanford, US, March 2016
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
Comments To appear at AAAI 2016 (and an extended version of a NIPS 2015 Multimodal Machine Learning workshop paper)
Learning a Hybrid Architecture for Sequence Regression and Annotation
Comments AAAI 2016
Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos
Comments To appear in AAAI 2016
Increasing the Action Gap: New Operators for Reinforcement Learning
Journal ref Bellemare, Marc G., Ostrovski, G., Guez, A., Thomas, Philip S., and Munos, Remi. Increasing the Action Gap: New Operators for Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 2016
Semisupervised Autoencoder for Sentiment Analysis
Comments To appear in AAAI 2016
Tracking Idea Flows between Social Groups
Comments 8 pages, AAAI 2016
Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication
Comments AAAI 2016, to appear
Return of Frustratingly Easy Domain Adaptation
Comments Fixed typos. Full paper to appear in AAAI-16. Extended Abstract of the full paper to appear in TASK-CV 2015 workshop
Deep Reinforcement Learning with Double Q-learning
Comments AAAI 2016
Convolutional Neural Networks over Tree Structures for Programming Language Processing
Comments Accepted at AAAI-16
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation
Comments Accepted by AAAI 2016
Jointly Modeling Topics and Intents with Global Order Structure
Comments Accepted by AAAI 2016
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text
Comments Appearing in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
Holographic Embeddings of Knowledge Graphs
Comments To appear in AAAI-16
Reuse of Neural Modules for General Video Game Playing
Comments Accepted at AAAI 16
Toward a Taxonomy and Computational Models of Abnormalities in Images
Comments To appear in the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016)
A Generative Model of Words and Relationships from Multiple Sources
Comments 8 pages, 5 figures; incorporated feedback from reviewers; to appear in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence 2016
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling
Comments A full version with technical proofs. Accepted by AAAI-16
Character-Aware Neural Language Models
Comments AAAI 2016
Beyond OWL 2 QL in OBDA: Rewritings and Approximations (Extended Version)
Comments The extended version of the AAAI 2016 paper "Beyond OWL 2 QL in OBDA: Rewritings and Approximations" by Elena Botoeva, Diego Calvanese, Valerio Santarelli, Domenico Fabio Savo, Alessandro Solimando,and Guohui Xiao
