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Showing 3301–3350 of 3589 papers

TitleStatusHype
STARDATA: A StarCraft AI Research DatasetCode0
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning—0
Streaming kernel regression with provably adaptive mean, variance, and regularization—0
Breaking the curse of dimensionality in regression—0
Adaptive Inferential Method for Monotone Graph Invariants—0
Gradient-based Inference for Networks with Output Constraints—0
Rule-Based Spanish Morphological Analyzer Built From Spell Checking Lexicon—0
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming—0
Global optimization for low-dimensional switching linear regression and bounded-error estimation—0
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction—0
Armstrong's Axioms and Navigation Strategies—0
What Is the Space of Attenuation Coefficients in Underwater Computer Vision?—0
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving CarsCode0
Structured Recommendation—0
Combined Task and Motion Planning as Classical AI Planning—0
An Unsupervised Method for Estimating the Global Horizontal Irradiance from Photovoltaic Power MeasurementsCode0
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision—0
An a Priori Exponential Tail Bound for k-Folds Cross-Validation—0
A framework for Multi-A(rmed)/B(andit) testing with online FDR controlCode0
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical ModelsCode0
DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization—0
Information, Privacy and Stability in Adaptive Data Analysis—0
Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training—0
Twitter Hashtag Recommendation using Matrix Factorization—0
Contextual Explanation NetworksCode0
Towards meaningful physics from generative models—0
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models—0
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference—0
Show, Adapt and Tell: Adversarial Training of Cross-domain Image CaptionerCode0
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)—0
A Flexible Framework for Hypothesis Testing in High-dimensions—0
Data-adaptive statistics for multiple hypothesis testing in high-dimensional settingsCode0
Generic LSH Families for the Angular Distance Based on Johnson-Lindenstrauss Projections and Feature Hashing LSH—0
On the stochastic evolution of finite populations—0
Equivalence between synaptic current dynamics and heterogeneous propagation delays in spiking neuron networks—0
DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books—0
Seismic facies recognition based on prestack data using deep convolutional autoencoder—0
Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework—0
Improving Evaluation of Document-level Machine Translation Quality Estimation—0
Word Embedding and Topic Modeling Enhanced Multiple Features for Content Linking and Argument / Sentiment Labeling in Online Forums—0
Extending Automatic Discourse Segmentation for Texts in Spanish to Catalan—0
Tuning Over-Relaxed ADMM—0
Grammar Variational AutoencoderCode0
Outlier Cluster Formation in Spectral Clustering—0
Modeling non-stationarities in high-frequency financial time series—0
Sequence Modeling via SegmentationsCode0
Context-Aware Prediction of Derivational Word-formsCode0
A mathematical model for gene evolution after whole genome duplication—0
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores—0
FMRI Clustering and False Positive Rates—0
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