Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm. Locality Preserving Joint Transfer for Domain Adaptation. Online Normalization for Training Neural Networks. Deep Object Co-segmentation via Spatial-Semantic Network Modulation. Resolution-invariant Person Re-Identification. Compression with Flow …

The StarCraft Multi-Agent Challenge. Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data. Semantic Graph Convolutional Networks for 3D Human Pose Regression. Learning Invariant Representations of Social Media Users. DOVER: A Method for Combining Diarization Outputs. Protecting Geolocati …

AeroRIT: A New Scene for Hyperspectral Image Analysis. REflex: Flexible Framework for Relation Extraction in Multiple Domains. Inferring Distributions Over Depth from a Single Image. Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN. DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion …

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. Probabilistic Models of Relational Implication. Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition. Revisiting Semantic Representation and Tree Search for Similar Question Retrieval. Towards More Accurate Automatic Sleep …

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection. TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. Deep Coordination Graphs. Controllable Artistic Text Style Transfer via Shape-Matching GAN. Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-A …

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting. Deep Double Descent: Where Bigger Models and More Data Hurt. Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector. PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex …

Sampled Softmax with Random Fourier Features. Learning Nearly Decomposable Value Functions Via Communication Minimization. Hide and Speak: Deep Neural Networks for Speech Steganography. Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection. Interpretations of Deep Learning by Forests and Haar Wavelets. Learnin …

Question Classification with Deep Contextualized Transformer. Why Do Masked Neural Language Models Still Need Common Sense Knowledge?. Random Vector Functional Link Neural Network based Ensemble Deep Learning. Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. Hamiltonian Graph Networks with ODE Integrators. MonSter …

Input Redundancy for Parameterized Quantum Circuits. Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment. Mumford-Shah Loss Functional for Image Segmentation with Deep Learning. A Retina-inspired Sampling Method for Visual Texture Reconstruction. Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. Intera …

Experience Management in Multi-player Games. Object Placement on Cluttered Surfaces: A Nested Local Search Approach. Directed Exploration for Reinforcement Learning. Self-Supervised Exploration via Disagreement. Parallel Computation of Graph Embeddings. Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy. Compare M …

mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis. Learning Nonlinear Mixtures: Identifiability and Algorithm. A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. Real-time 3-D Mapping with Estimating Acoustic Materials. 2L-3W: 2-Level 3-Way Hardw …

A Composable Specification Language for Reinforcement Learning Tasks. Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets. Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. Prediction of Spatial Point Pr …

VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning. DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion. $A^*$ sampling with probability matching. Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains …