Learning Probabilistic Intersection Traffic Models for Trajectory Prediction. Deep compositional robotic planners that follow natural language commands. A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics. Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changin …

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- …

Variational Autoencoders for Opponent Modeling in Multi-Agent Systems. Show, Recall, and Tell: Image Captioning with Recall Mechanism. Sample Complexity of Incentivized Exploration. Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective. Unsupervised deep clustering for predictive texture pattern discovery in medical …

End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification. Self-supervised learning for audio-visual speaker diarization. Phoneme Boundary Detection using Learnable Segmental Features. RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. Selfish Robustness and Equilibria in Mu …

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. Measuring Calibration in Deep Learning. Partial Simulation for Imitation Learning. Semi-supervised 3D Face Reconstruction with Nonlinear Disentangled Representations. iWGAN: an Autoencoder WGAN for Inference. A Syntax-Aware Approach for Unsupervised Text Style Tra …