MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Delving Deeper into the Decoder for Video Captioning. The Tree Ensemble Layer: Differentiability meets Conditional Computation. Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations. Cross-Domain Document Object Detection: Benchmark Suite and …

PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models. Towards Sharper First-Order Adversary with Quantized Gradients. Simulating Performance of ML Systems with Offline Profiling. On a minimum enclosing ball of a collection of linear subspaces. Linear Regression without Correspondences via Concave Minimization. AOL: Adaptiv …

Learning Memory-guided Normality for Anomaly Detection. LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units. Online Semantic Exploration of Indoor Maps. A Unifying Network Architecture for Semi-Structured Deep Distributional Learning. Reward Design for Driver Repositioning Using Multi …

Survey Bandits with Regret Guarantees. FoCL: Feature-Oriented Continual Learning for Generative Models. Revisiting Spatial Invariance with Low-Rank Local Connectivity. Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent. Metaplasticity in Multistate Memristor Synaptic Networks. Using H …

Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach. Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans. Adversarial vs behavioural-based defensive AI with joint, continual and active learning: automated evaluation of robustness to deception, poisoning and c …

Unsupervised Multilingual Alignment using Wasserstein Barycenter. Learning Complexity of Simulated Annealing. Incorporating Expert Prior in Bayesian Optimisation via Space Warping. From Topic Networks to Distributed Cognitive Maps: Zipfian Topic Universes in the Area of Volunteered Geographic Information. Sequential Bayesian Experimental Design for …

Incorporating Perceptual Prior to Improve Model’s Adversarial Robustness. Neural Clustering Processes. Bayesian Inference for Large Scale Image Classification. Refining the variational posterior through iterative optimization. Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. Nonlinearities in activations substantially shape …

RefNet: Automatic Essay Scoring by Pairwise Comparison. Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks. Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. QXplore: Q-Learning Exploration …