conftrace_

inductive bia

272 papers

Explore in graph

Co-occurring keywords

representation learning (6206) neural network (6616) transfer learning (5449) convolutional neural network (4226) language model (4599) graph neural network (3962) large language model (13587) transformer architecture (1560) attention mechanism (4001) vision transformer (1106)

Papers

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024
Towards Understanding the Relationship between In-context Learning and Compositional Generalization COLING 2024
Understanding Visual Feature Reliance through the Lens of Complexity NIPS 2024
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NIPS 2024
On Efficiently Representing Regular Languages as RNNs ACL 2024
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation ACL 2024
Generalizations across filler-gap dependencies in neural language models EMNLP 2024
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NIPS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning NIPS 2024
Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation AAAI 2024
Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis EMNLP 2024
Towards Exact Computation of Inductive Bias IJCAI 2024
Multi-Dimensional Hyena for Spatial Inductive Bias AISTATS 2024
Learning Representations for Hierarchies with Minimal Support NIPS 2024
Probing the Decision Boundaries of In-context Learning in Large Language Models NIPS 2024
Simpler neural networks prefer subregular languages EMNLP 2023
Approximating CKY with Transformers EMNLP 2023
Inductive Bias Is in the Eye of the Beholder EMNLP 2023
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP 2023
Injecting structural hints: Using language models to study inductive biases in language learning EMNLP 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CORL 2023
FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4 EMNLP 2023
StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure EMNLP 2023
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction ACL 2023