Performance of Statistical and Machine Learning Techniques for Physical Layer Authentication. ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation. A novel tree-structured point cloud dataset for skeletonization algorithm evaluation. Deep Learning Stereo Vision at the edge. An End-to-end Deep Learn …

Text Classification with Lexicon from PreAttention Mechanism. Hierarchical Transformer Network for Utterance-level Emotion Recognition. Explicit agreement extremes for a $2\times2$ table with given marginals. The Utility of General Domain Transfer Learning for Medical Language Tasks. Learning Not to Learn in the Presence of Noisy Labels. Comparison …

A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection. Preventing Clean Label Poisoning using Gaussian Mixture Loss. Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder. Generative Modeling with Denoising Auto-Encoders and Langevin Sa …

Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency. Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels. Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks. Citation Recommendation: Approaches and Datasets. DAF-NET: a saliency based weakly supervise …

Optimistic bounds for multi-output prediction. Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. Deontological Ethics By Monotonicity Shape Constraints. Implementing Dynamic Answer Set Programming. A scheme for automatic differe …

Syn2Real: Forgery Classification via Unsupervised Domain Adaptation. Large Hole Image Inpainting With Compress-Decompression Network. SF-Net: Single-Frame Supervision for Temporal Action Localization. Weakly-Supervised Multi-Person Action Recognition in 360$^{\circ}$ Videos. Action Graphs: Weakly-supervised Action Localization with Graph Convolutio …

MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities. What is the optimal depth for deep-unfolding architectures at deployment?. Optimizing Black-box Metrics with Adaptive Surrogates. Graph Attentional Autoencoder for Anticancer Hyperfood Prediction. Adversarial Imitation Attack. On the adversarial robustness …

ExEm: Expert Embedding using dominating set theory with deep learning approaches. Classifying Images with Few Spikes per Neuron. Image Inpainting by Multiscale Spline Interpolation. Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach. Robust Q-learning. Disentangling Adaptive Gradient Methods from Le …

Deep Transfer Learning for Physiological Signals. Benign overfitting in the large deviation regime. Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention. Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. Residual Block-based Multi-Label Classification and Localization Network with Int …

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 …

Intrinsic Dimension Estimation via Nearest Constrained Subspace Classifier. Federated Over-the-Air Subspace Learning from Incomplete Data. Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding. Approximate Cross-validation: Guarantees for Model Assessment and Selection. Impact of ImageNet Model Selection on Domain …

ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising. Domain Adaptive Adversarial Learning Based on Physics Model Feedback for Underwater Image Enhancement. Algorithms for Optimizing Fleet Scheduling of Air Ambulances. Indexical Cities: Articulating Personal Models of Urban Preference with Geotagged Data. A Thorough Compari …

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 …

Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm. Machine Learning assisted Handover and Resource Management for Cellular Connected Drones. A Random-Feature Based Newton Method for Empirical Risk Minimization in R …

Reinforcement Learning with Probabilistically Complete Exploration. Unknown-Aware Deep Neural Network. DP-LSSGD: An Optimization Method to Lift the Utility in Privacy-Preserving ERM. BERT for Sequence-to-Sequence Milti-Label Text Classification. Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading. Data-Driven Ap …