Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. RePAD: Real-time Proactive Anomaly Detection for Time Series. Better Boosting with Bandits for Online Learning. Dynamic ReLU. Accurately identifying vertebral levels in large datasets. Turning 30: New Ideas in Inductive Logic Programming. TGGLines: A Robust To …

Infinite-Horizon Differentiable Model Predictive Control. The Past and Present of Imitation Learning: A Citation Chain Study. 1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data. Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process. Asynchronous Policy Evaluati …

Spatial and spectral deep attention fusion for multi-channel speech separation using deep embedding features. Machine Learning on Volatile Instances. Tractogram filtering of anatomically non-plausible fibers with geometric deep learning. Experiments on Manual Thesaurus based Query Expansion for Ad-hoc Monolingual Gujarati Information Retrieval Task …

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. SparseIDS: Learning Packet Sampling with Reinforcement Learning. Quantisation and Pruning for Neural Network Compression and Regularisation. BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. A Simple Framework for Contrastive Learning of Visual Representati …

Adversarial Continual Learning. State-Aware Tracker for Real-Time Video Object Segmentation. FedDANE: A Federated Newton-Type Method. Gimme Signals: Discriminative signal encoding for multimodal activity recognition. On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks. Adapting Deep Learning for Sentiment Classificati …

Semantic-based End-to-End Learning for Typhoon Intensity Prediction. Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. Invariant Rationalization. Non-Adversarial Video Synthesis with Learned Priors. StageNet: Stage-Aware Neural Networks for Health Risk Prediction. Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible …

Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models. Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels. Creating High Resolution Images with a Latent Adversarial Generator. Zero-shot and few-shot time s …

Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification. Interpretability of machine learning based prediction models in healthcare. DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction. Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback. Thompson …

A smile I could recognise in a thousand: Automatic identification of identity from dental radiography. The Medical Scribe: Corpus Development and Model Performance Analyses. A Survey on 3D Skeleton-Based Action Recognition Using Learning Method. Pelican: A Deep Residual Network for Network Intrusion Detection. Linguistic Fingerprints of Internet Ce …

On the human evaluation of audio adversarial examples. G-VAE: A Continuously Variable Rate Deep Image Compression Framework. Fair Allocation Based Soft Load Shedding. A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials. Almost-Matching-Exactly for Treatment Effect Estimatio …