Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. Permutohedral-GCN: Graph Convolutional Networks with Global Attention. Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. Explainable Deep Classification Models for Domain Generalization. Error Estimation for Sketched SVD via th …

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. Compact Deep Aggregation for Set Retrieval. Manifold-based Test Generation for Image Classifiers. Superpixel Image Classification with Graph Attention Networks. High-dimensional, multiscale online changepoint detection. Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square …

Exploring the Memorization-Generalization Continuum in Deep Learning. A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance. Average-case Acceleration Through Spectral Density Estimation. Stochastic geometry to generalize the Mondrian Process. Too many cooks: Coordinating multi-agent collaboration through inverse …

Neural Game Engine: Accurate learning of generalizable forward models from pixels. AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. Content Adaptive and Error Propagation Aware Deep Video Compression. Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. A Unified End-to-End Fram …

Angular Visual Hardness. The Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. A multi-task U-net for segmentation with lazy labels. Mint: Matrix-Interleaving for Multi-Task Learning. Gradient Surgery for Multi-Task Learning. Multi-Dimensional Explanation of Reviews. Underwhelming Generalizatio …