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inductive bia

272 papers

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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

On Efficiently Representing Regular Languages as RNNs ACL 2024
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks AAAI 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference NIPS 2024
Neural Redshift: Random Networks are not Random Functions CVPR 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NIPS 2024
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024
Learning symmetries via weight-sharing with doubly stochastic tensors NIPS 2024
Graphcode: Learning from multiparameter persistent homology using graph neural networks NIPS 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
Unveiling Divergent Inductive Biases of LLMs on Temporal Data NAACL 2024
CoELM: Construction-Enhanced Language Modeling ACL 2024
Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement NIPS 2024
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024
Rethinking Inductive Biases for Surface Normal Estimation CVPR 2024
Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NIPS 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning AAAI 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning AAAI 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024
Understanding Visual Feature Reliance through the Lens of Complexity NIPS 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024
Gradformer: Graph Transformer with Exponential Decay IJCAI 2024
Why are Sensitive Functions Hard for Transformers? ACL 2024