Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach. Ballooning Multi-Armed Bandits. Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning. Addressing the Memory Bottleneck in AI Model Training. Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition. F …

Stochastic Calibration of Radio Interferometers. Optimal least-squares solution to the hand-eye calibration problem. Mask & Focus: Conversation Modelling by Learning Concepts. Automatic Estimation of Sphere Centers from Images of Calibrated Cameras. Multi-frequency calibration for DOA estimation with distributed sensors. On the Role of Dataset Qual …

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 …

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 …

Distributed Averaging Methods for Randomized Second Order Optimization. Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers. Learned Spectral Computed Tomography. Learning to Transfer Texture from Clothing Images to 3D Humans. Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Transla …

Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images. Sparse Sinkhorn Attention. Iterative Pre-Conditioning to Expedite the Gradient-Descent Method. Revisiting EXTRA for Smooth Distributed Optimization. CheXclusion: Fairness gaps in deep chest …

Communication-efficient Variance-reduced Stochastic Gradient Descent. Decentralized gradient methods: does topology matter?. Ranking Significant Discrepancies in Clinical Reports. Analyzing Visual Representations in Embodied Navigation Tasks. “Wait, I’m Still Talking!” Predicting the Dialogue Interaction Behavior Using Imagine-Then-Arbitrate Model. …

ReluDiff: Differential Verification of Deep Neural Networks. DeepFake Detection: Current Challenges and Next Steps. Taking a hint: How to leverage loss predictors in contextual bandits?. FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network. Decentralized Multi-player Multi-armed Bandits with No Collision Information. Near-linear …

Transferable Recognition-Aware Image Processing. Towards a Speech Recognizer for Komi, an Endangered and Low-Resource Uralic Language. PopSGD: Decentralized Stochastic Gradient Descent in the Population Model. Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation. COPHY: Counterfactual Learning of Phys …

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 …