| Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach | Oct 23, 2022 | FairnessInductive Bias | CodeCode Available | 1 |
| The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection | Oct 22, 2022 | AttributeFraud Detection | —Unverified | 0 |
| Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior | Oct 22, 2022 | Inductive BiasTime Series | —Unverified | 0 |
| NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation | Oct 22, 2022 | counterfactualData Augmentation | CodeCode Available | 0 |
| Contrastive Prototypical Network with Wasserstein Confidence Penalty | Oct 21, 2022 | Contrastive LearningFew-Shot Learning | CodeCode Available | 1 |
| Learning Robust Dynamics through Variational Sparse Gating | Oct 21, 2022 | Inductive Bias | CodeCode Available | 1 |
| Large-scale learning of generalised representations for speaker recognition | Oct 20, 2022 | Inductive BiasSpeaker Recognition | —Unverified | 0 |
| A Dimension-Augmented Physics-Informed Neural Network (DaPINN) with High Level Accuracy and Efficiency | Oct 19, 2022 | Inductive Bias | —Unverified | 0 |
| Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel | Oct 18, 2022 | Decision MakingInductive Bias | —Unverified | 0 |
| Modeling Context With Linear Attention for Scalable Document-Level Translation | Oct 16, 2022 | Document Level Machine TranslationDocument Translation | CodeCode Available | 0 |
