inductive bia

Attention is not all you need: pure attention loses rank doubly exponentially with depth ICML 2021 Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NeurIPS 2021 Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication NeurIPS 2021 Cross-Domain Few-Shot Classification via Adversarial Task Augmentation IJCAI 2021 Demystifying Inductive Biases for (Beta-)VAE Based Architectures ICML 2021 Directed Acyclic Graph Neural Networks ICLR 2021 Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent EMNLP 2021 Energy-Based Learning for Scene Graph Generation CVPR 2021 Examining the Inductive Bias of Neural Language Models with Artificial Languages ACL 2021 Good-Enough Example Extrapolation EMNLP 2021 Grounding inductive biases in natural images: invariance stems from variations in data NeurIPS 2021 G-Transformer for Document-Level Machine Translation ACL 2021 Introspective Distillation for Robust Question Answering NeurIPS 2021 Learning Contact Dynamics using Physically Structured Neural Networks AISTATS 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning NeurIPS 2021 Learning with Hyperspherical Uniformity AISTATS 2021 Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning NeurIPS 2021 LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning ICML 2021 MATE: Multi-view Attention for Table Transformer Efficiency EMNLP 2021 Maximum Roaming Multi-Task Learning AAAI 2021 Multiple Descent: Design Your Own Generalization Curve NeurIPS 2021 Net-DNF: Effective Deep Modeling of Tabular Data ICLR 2021 Neural Utility Functions AAAI 2021 Noether Networks: meta-learning useful conserved quantities NeurIPS 2021 On Inductive Biases for Heterogeneous Treatment Effect Estimation NeurIPS 2021