Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach. Gradient target propagation. Deep End-to-end Fingerprint Denoising and Inpainting. Occupancy Networks: Learning 3D Reconstruction in Function Space. EANet: Enhancing …

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. Challenges of language technologies for the indigenous languages of the Americas. Towards a Better Understanding and Regularization of GAN Training Dynamics. Convolutional CRFs …

Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution. Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View. Self-Improving Visual Odometry. Learning to Detect. Semi-supervised Hashing for Semi-Paired Cross-View Retrieval. Non-attracting Regions of Local Minima in Deep and Wide Neural …

Inspiration Learning through Preferences. Full explicit consistency constraints in uncalibrated multiple homography estimation. Insights into the robustness of control point configurations for homography and planar pose estimation. Privacy-Preserving Deep Learning via Weight Transmission. Classifying medical relations in clinical text via convoluti …