Causal Inference

Paper Group ANR 56

Paper Group ANR 56

May 7, 2019

Ensemble Methods of Classification for Power Systems Security Assessment. Firefly Algorithm for optimization problems with non-continuous variables: A Review and Analysis. Shamela: A Large-Scale Historical Arabic Corpus. On the Complexity of Connection Games. Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. Deep Attributes Driv …
Paper Group AWR 100

Paper Group AWR 100

May 7, 2019

Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata. Coordination Annotation Extension in the Penn Tree Bank. Facial Expression Recognition using Convolutional Neural Networks: State of the Art. Entropic Causal Inference. Unsupervised Monocular Depth Estimation with Left-Right …
Paper Group AWR 51

Paper Group AWR 51

May 7, 2019

ROCS-Derived Features for Virtual Screening. Learning to Pivot with Adversarial Networks. Reinforcement Learning with Unsupervised Auxiliary Tasks. On the Potential of Simple Framewise Approaches to Piano Transcription. An Incremental Parser for Abstract Meaning Representation. Multi-way Monte Carlo Method for Linear Systems. TensorFlow: A system f …
Paper Group AWR 61

Paper Group AWR 61

May 7, 2019

Sentiment Analysis of Twitter Data for Predicting Stock Market Movements. Watch What You Just Said: Image Captioning with Text-Conditional Attention. Disentangling factors of variation in deep representations using adversarial training. Large-Scale Kernel Methods for Independence Testing. One-Shot Video Object Segmentation. Deep Label Distribution …
Paper Group AWR 79

Paper Group AWR 79

May 7, 2019

Actor-critic versus direct policy search: a comparison based on sample complexity. Variational Graph Auto-Encoders. Linear Algebraic Structure of Word Senses, with Applications to Polysemy. Ancestral Causal Inference. Discovering Causal Signals in Images. Lecture Notes on Randomized Linear Algebra. What Is the Best Practice for CNNs Applied to Visu …
Paper Group AWR 81

Paper Group AWR 81

May 7, 2019

Generative Adversarial Networks as Variational Training of Energy Based Models. Learning Representations for Counterfactual Inference. An Empirical Study of Language CNN for Image Captioning. Text-guided Attention Model for Image Captioning. IM2CAD. RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised View …
Paper Group AWR 88

Paper Group AWR 88

May 7, 2019

Semi-Supervised Learning via Sparse Label Propagation. Online Real-time Multiple Spatiotemporal Action Localisation and Prediction. Uncovering Causality from Multivariate Hawkes Integrated Cumulants. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks. Bi-modal First Impressions Recognition using Temporally Ordere …
Paper Group ANR 306

Paper Group ANR 306

May 6, 2019

Heterogeneous Strategy Particle Swarm Optimization. Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. Attentive Pooling Networks. Extraction of airway trees using multiple hypothesis tracking and template matching. A Linear Algebraic Approach to Datalog Evaluation. Learning Efficient Algorithms with Hierar …
Paper Group ANR 393

Paper Group ANR 393

May 6, 2019

Theory reconstruction: a representation learning view on predicate invention. Combining local and global smoothing in multivariate density estimation. Disfluency Detection using a Bidirectional LSTM. Recommendations as Treatments: Debiasing Learning and Evaluation. Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in C …
Paper Group ANR 394

Paper Group ANR 394

May 6, 2019

About Learning in Recurrent Bistable Gradient Networks. Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals. Causal Inference in Observational Data. Sensitivity Maps of the Hilbert-Schmidt Independence Criterion. The Inflation Technique for Causal Inference with Latent Variables. Hough-CNN: Deep Learni …
Paper Group ANR 396

Paper Group ANR 396

May 6, 2019

Construction Inspection through Spatial Database. ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data. PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding. Intelligence in Artificial Intelligence. Non-Negative Matrix Factorization Test Cases. Blur Robust Optical Flow using Motio …
Paper Group ANR 409

Paper Group ANR 409

May 6, 2019

Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies. Sampled Image Tagging and Retrieval Methods on User Generated Content. DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. Adaptive mixed norm optical flow estimation. DeepText: A Unified Framework for Text Proposal Generation and Text …
Paper Group ANR 449

Paper Group ANR 449

May 5, 2019

On the Detection of Mixture Distributions with applications to the Most Biased Coin Problem. Distributed Averaging CNN-ELM for Big Data. A General Framework for Content-enhanced Network Representation Learning. Panoramic Structure from Motion via Geometric Relationship Detection. Explore First, Exploit Next: The True Shape of Regret in Bandit Probl …
Paper Group ANR 450

Paper Group ANR 450

May 5, 2019

Transport Analysis of Infinitely Deep Neural Network. A Hackathon for Classical Tibetan. Mahalanobis Distance for Class Averaging of Cryo-EM Images. Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization. Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Co …
Paper Group ANR 459

Paper Group ANR 459

May 5, 2019

Kernel Alignment Inspired Linear Discriminant Analysis. Consistency Ensuring in Social Web Services Based on Commitments Structure. From Dependence to Causation. Neurohex: A Deep Q-learning Hex Agent. Moving Beyond the Turing Test with the Allen AI Science Challenge. Markov Chain Truncation for Doubly-Intractable Inference. Kernel Balancing: A flex …
Paper Group ANR 513

Paper Group ANR 513

May 5, 2019

On the Influence of Momentum Acceleration on Online Learning. Sparse Subspace Clustering via Diffusion Process. An MM Algorithm for Split Feasibility Problems. Scalable Text Mining with Sparse Generative Models. A General Family of Trimmed Estimators for Robust High-dimensional Data Analysis. Top-$K$ Ranking from Pairwise Comparisons: When Spectral …
Paper Group ANR 523

Paper Group ANR 523

May 5, 2019

Spoofing 2D Face Detection: Machines See People Who Aren’t There. Training Neural Networks Without Gradients: A Scalable ADMM Approach. Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference. Automatic TM Cleaning through MT and POS Tagging: Autode …
Paper Group ANR 562

Paper Group ANR 562

May 5, 2019

Dictionary Learning Strategies for Compressed Fiber Sensing Using a Probabilistic Sparse Model. Learning Null Space Projections in Operational Space Formulation. Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification. Automatic measurement of vowel duration via structured prediction. Parallel Chromatic MCMC with Spati …
Paper Group NANR 137

Paper Group NANR 137

May 5, 2019

Combining Off-the-shelf Grammar and Spelling Tools for the Automatic Evaluation of Scientific Writing (AESW) Shared Task 2016. Spoken Text Difficulty Estimation Using Linguistic Features. Abstract Coreference in a Multilingual Perspective: a View on Czech and German. Discontinuous parsing with continuous trees. Deep Fusion LSTMs for Text Semantic M …