Training and Prediction Data Discrepancies: Challenges of Text Classification with Noisy, Historical Data

INFORMATION RETRIEVAL · COMPUTATIONAL LANGUAGE · MACHINE LEARNING

Efficient Statistics,
in High Dimensions,
from Truncated
Samples

STATISTICS · DATA STRUCTURES · MACHINE LEARNING

Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations

MACHINE LEARNING

Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification

COMPUTER VISION · MACHINE LEARNING

Unsupervised Domain Adaptation Based on Source-guided Discrepancy

MACHINE LEARNING

Learning rate adaptation for differentially private stochastic gradient descent

MACHINE LEARNING

Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network

MACHINE LEARNING

Probabilistic approach to limited-data computed tomography reconstruction

COMPUTER VISION · MACHINE LEARNING

Solving Non-identifiable Latent Feature Models

MACHINE LEARNING

Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions

COMPUTER VISION · MACHINE LEARNING

Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions

COMPUTER VISION · MACHINE LEARNING

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction

COMPUTER VISION · MACHINE LEARNING · ROBOTICS

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding

MACHINE LEARNING

Deep Interest Evolution Network for Click-Through Rate Prediction

MACHINE LEARNING · INFORMATION RETRIEVAL

Comparing Computing Platforms for Deep Learning on a Humanoid Robot

COMPUTER VISION · MACHINE LEARNING · ROBOTICS

Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography

MACHINE LEARNING

Energy Disaggregation via Deep Temporal Dictionary Learning

MACHINE LEARNING

A Correlation Maximization Approach for Cross Domain Co-Embeddings

MACHINE LEARNING · INFORMATION RETRIEVAL

Dual-label Deep LSTM Dereverberation For Speaker Verification

MACHINE LEARNING · STATISTICS

Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

COMPUTER VISION · MACHINE LEARNING

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

MACHINE LEARNING

Deep Learning Towards Mobile Applications

MACHINE LEARNING

VPE: Variational Policy Embedding for Transfer Reinforcement Learning

MACHINE LEARNING

Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting

MACHINE LEARNING