Towards Interactive Training of Non-Player Characters in Video Games. Counterpoint by Convolution. Incremental Learning Techniques for Semantic Segmentation. Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning. How to Initialize your Network? Robust Initialization for WeightNorm & ResNets. Anti …

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. Dynamically Fused Graph Network for Multi-hop Reasoning. Machine Learning Classification Informed by a Functional Biophysical System. Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. Addressing Failure Predicti …

Reasoning Visual Dialogs with Structural and Partial Observations. Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets. Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. Learning Transformation Synchronization. miniSAM: A Flexible Factor Graph Non- …

Gauge theory and twins paradox of disentangled representations. Deep Griffin-Lim Iteration. Trust-Region Variational Inference with Gaussian Mixture Models. Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning. Deep Robotic Prediction with hierarchical RGB-D Fusion. Supervised Learning of the Next-Best-View for 3D Object …

CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning. Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors. Optical Flow Techniques for Facial Expression Analysis: Performance Evaluation and Improvements. SegMap: Segment-based mapping and localization using data-driven descriptors. A Comparat …

Affordable Uplift: Supervised Randomization in Controlled Experiments. Using AI for Economic Upliftment of Handicraft Industry. Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures. Bayesian Relational Memory for Semantic Visual Navigation. LAC-Nav: Collision-Free Mutiagent Navigation Based on The Local Action Cells. N …

Gradient-Aware Model-based Policy Search. Quantifying the alignment of graph and features in deep learning. Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities. On the Need for Topology-Aware Generative Models for Manifold-Based Defenses. Closing the gap towards end-to-end autonomous vehicle system. Quantified Constraint Han …

Dynamical Triangulation Induced by Quantum Walk. Transition Subspace Learning based Least Squares Regression for Image Classification. Joint Detection of Malicious Domains and Infected Clients. SVM-based Deep Stacking Networks. Action Modifiers: Learning from Adverbs in Instructional Videos. Design of optical neural networks with component imprecis …

WCE Polyp Detection with Triplet based Embeddings. Accurate Vision-based Manipulation through Contact Reasoning. Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding. Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?. How Robust Are Graph Neural Networks to Structural Noise?. A Fast-Optimal Guara …

Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. Generating Long Sequences with Sparse Transformers. Elements of Sequential Monte Carlo. Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. Transform Learning for Magnet …

Depth-Preserving Real-Time Arbitrary Style Transfer. Low-rank Kernel Learning for Graph-based Clustering. Residual Objectness for Imbalance Reduction. TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. Meeting Transcription Using Virtual Microphone Arrays. Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation. …

An Unsupervised, Iterative N-Dimensional Point-Set Registration Algorithm. Neural Cross-Domain Collaborative Filtering with Shared Entities. Automatic Critical Mechanic Discovery in Video Games. Dynamic fairness - Breaking vicious cycles in automatic decision making. To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual …