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
- 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