Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation. Nmbr9 as a Constraint Programming Challenge. Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. Learning Diverse Features with Part-Level Resolution for Person Re-Identification. SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint E …

Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. High–Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. Incremental Learning In Online Scenario. DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift. EGGS: A Flexible Approach to Relational Modeling of Social Net …

BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation. Accelerator-aware Neural Network Design using AutoML. Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. Vulnerabilities of Connectionist AI Applica …

Understanding the Limitations of Variational Mutual Information Estimators. Regularizing Predictions via Class-wise Self-knowledge Distillation. Quantifying Exposure Bias for Neural Language Generation. Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. Slow Thinking Enables Task-Uncertain Lifelong a …

A⋆MCTS: SEARCH WITH THEORETICAL GUARANTEE USING POLICY AND VALUE FUNCTIONS. FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES. DEEP GRAPH SPECTRAL EVOLUTION NETWORKS FOR GRAPH TOPOLOGICAL TRANSFORMATION. Modeling Fake News in Social Networks with Deep Multi-Agent Reinforcement Learning. Long-term planning, short-term ad …