inductive bia

On Incorporating Inductive Biases into VAEs ICLR 2022 On the benefits of maximum likelihood estimation for Regression and Forecasting ICLR 2022 On the Equivalence Between Temporal and Static Equivariant Graph Representations ICML 2022 On the inductive bias of neural networks for learning read-once DNFs UAI 2022 Probing as Quantifying Inductive Bias ACL 2022 Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images NeurIPS 2022 Resource-Efficient Hybrid X-Formers for Vision WACV 2022 Rethinking Positional Encoding in Tree Transformer for Code Representation EMNLP 2022 Rich Feature Construction for the Optimization-Generalization Dilemma ICML 2022 Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching ACL 2022 Target Languages (vs. Inductive Biases) for Learning to Act and Plan AAAI 2022 Task Discovery: Finding the Tasks that Neural Networks Generalize on NeurIPS 2022 The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction EMNLP 2022 The Grammar-Learning Trajectories of Neural Language Models ACL 2022 The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design ICLR 2022 Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation ICLR 2022 Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond) ICLR 2022 Understanding Contrastive Learning Requires Incorporating Inductive Biases ICML 2022 Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems NeurIPS 2022 Using natural language and program abstractions to instill human inductive biases in machines NeurIPS 2022 Video Swin Transformer CVPR 2022 What do Large Language Models Learn beyond Language? EMNLP 2022 What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors CVPR 2022 A Cognitive Regularizer for Language Modeling ACL 2021 A Theoretical Analysis of Fine-tuning with Linear Teachers NeurIPS 2021