inductive bia

A law of adversarial risk, interpolation, and label noise ICLR 2023 An Inductive Bias for Tabular Deep Learning NeurIPS 2023 Approximating CKY with Transformers EMNLP 2023 Approximation-Generalization Trade-offs under (Approximate) Group Equivariance NeurIPS 2023 Architectural Backdoors in Neural Networks CVPR 2023 Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning NeurIPS 2023 A theoretical study of inductive biases in contrastive learning ICLR 2023 C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder NeurIPS 2023 Combinatorial Optimization and Reasoning with Graph Neural Networks JMLR 2023 Conditional independence testing under misspecified inductive biases NeurIPS 2023 Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy NeurIPS 2023 Encoding Recurrence into Transformers ICLR 2023 Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems ICLR 2023 Equivariant Reinforcement Learning under Partial Observability CoRL 2023 Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction ACL 2023 Exposing Attention Glitches with Flip-Flop Language Modeling NeurIPS 2023 Expressive Monotonic Neural Networks ICLR 2023 FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4 EMNLP 2023 Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations AAAI 2023 Graph Inductive Biases in Transformers without Message Passing ICML 2023 Grassmann Manifold Flows for Stable Shape Generation NeurIPS 2023 Harmonic Neural Networks ICML 2023 Hidden Biases of End-to-End Driving Models ICCV 2023 How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CoRL 2023 How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases ACL 2023