TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU. Detecting Patch Adversarial Attacks with Image Residuals. Limitations of weak labels for embedding and tagging. Manifold Regularization for Adversarial Robustness. Unified Image and Video Saliency Modeling. Joint Geographical and Temporal Modeling based on Matrix Fa …

The Reciprocal Bayesian LASSO. Certified Defenses for Adversarial Patches. Training Binary Neural Networks using the Bayesian Learning Rule. AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. Tidying Deep Saliency Prediction Architectures. Directional Deep Embedding and Appearance Learning for Fast Video Object Segment …

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 …

Learning Human-Object Interaction Detection using Interaction Points. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception. Unpaired Multi-modal Segmentation via Knowledge Distillation. Zero-Reference Deep Curve Estimation for Low- …

Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. Maximal Causes for Exponential Family Observables. Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. Sub-Goal Trees – a Framework for Goal-Based Reinforcement Learning. STAViS: Spatio-Temporal AudioVisual Saliency Network. Multi …

Indoor Layout Estimation by 2D LiDAR and Camera Fusion. Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP). MetNet: A Neural Weather Model for Precipitation Forecasting. Difference Attention Based Error Correction LSTM Model for Time Series Prediction. AirRL: A Reinforcement Learni …

A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. Learning Optimal Classification Trees: Strong Max-Flow Formulations. Deep RBF Value Functions for Continuous Control. A Graph-Based Platform …

Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING. Sample Efficient Policy Gradient Methods with Recursive Variance Reduction. Topological Autoencoders. Policy Optimization with Stochastic Mirror Descent. Generative Latent Flow. Neural Phrase-to-P …