inductive bia

HyperMixer: An MLP-based Low Cost Alternative to Transformers ACL 2023 Hyperparameter Optimization through Neural Network Partitioning ICLR 2023 HyTrel: Hypergraph-enhanced Tabular Data Representation Learning NeurIPS 2023 Inductive Bias Is in the Eye of the Beholder EMNLP 2023 Injecting structural hints: Using language models to study inductive biases in language learning EMNLP 2023 Intrinsic dimensionality and generalization properties of the R-norm inductive bias COLT 2023 Is Forgetting Less a Good Inductive Bias for Forward Transfer? ICLR 2023 Learning Deep Time-index Models for Time Series Forecasting ICML 2023 Learning Intuitive Policies Using Action Features ICML 2023 Learning to reason over visual objects ICLR 2023 LexSym: Compositionality as Lexical Symmetry ACL 2023 Lie Point Symmetry and Physics-Informed Networks NeurIPS 2023 Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023 Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ACL 2023 Meta-Learning the Inductive Bias of Simple Neural Circuits ICML 2023 Model-agnostic Measure of Generalization Difficulty ICML 2023 Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency ACL 2023 On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis RSS 2023 PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks NeurIPS 2023 Probing Graph Representations AISTATS 2023 Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences ACL 2023 Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge ICML 2023 Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP 2023 Scaling MLPs: A Tale of Inductive Bias NeurIPS 2023 Sheaf Hypergraph Networks NeurIPS 2023