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Deep Learning

  • Attentive Group Equivariant Convolutional Networks. arxiv
  • Fast Differentiable Sorting and Ranking. arxiv
  • Gradient Boosting Neural Networks: GrowNet. arxiv
  • Learning with Differentiable Perturbed Optimizers. arxiv
  • The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks. pdf
  • The Geometry of Sign Gradient Descent. arxiv
  • The large learning rate phase of deep learning: the catapult mechanism. arxiv
  • Towards Understanding Hierarchical Learning: Benefits of Neural Representations. arxiv

AutoML

  • When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks. arxiv code
  • Gryffin: An algorithm for Bayesian optimization for categorical variables informed by physical intuition with applications to chemistry. arxiv
  • Uncertainty Quantification for Bayesian Optimization. pdf

GAN

  • BachGAN: High-Resolution Image Synthesis from Salient Object Layout. arxiv code
  • Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder. pdf

GNN

  • Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings. arxiv code
  • Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. arxiv code
  • Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. arxiv
  • Generalization and Representational Limits of Graph Neural Networks. arxiv
  • SIGN: Scalable Inception Graph Neural Networks. arxiv
  • StickyPillars: Robust feature matching on point clouds using Graph Neural Networks. arxiv
  • Supervised Learning on Relational Databases with Graph Neural Networks. arxiv code

Meta Learning

  • A Comprehensive Overview and Survey of Recent Advances in Meta-Learning. arxiv
  • Meta-Learning in Neural Networks: A Survey. arxiv
  • Regularizing Meta-Learning via Gradient Dropout. arxiv