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Learning 3D-Gaussian Simulators from RGB Videos
Arxiv
0+阅读 · 3月31日
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
Arxiv
0+阅读 · 3月31日
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
Arxiv
0+阅读 · 3月6日
Architectural and Inferential Inductive Biases For Exchangeable Sequence Modeling
Arxiv
0+阅读 · 3月3日
Expected Return Symmetries
Arxiv
0+阅读 · 3月12日
Data Distributional Properties As Inductive Bias for Systematic Generalization
Arxiv
0+阅读 · 3月4日
The in-context inductive biases of vision-language models differ across modalities
Arxiv
0+阅读 · 3月13日
Sneaking Syntax into Transformer Language Models with Tree Regularization
Arxiv
0+阅读 · 3月23日
Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication
Arxiv
0+阅读 · 3月6日
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
Arxiv
0+阅读 · 2月28日
Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks
Arxiv
0+阅读 · 2月27日
TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer
Arxiv
0+阅读 · 1月29日
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
Arxiv
0+阅读 · 2月14日
On the inductive bias of infinite-depth ResNets and the bottleneck rank
Arxiv
0+阅读 · 1月31日
Expected Return Symmetries
Arxiv
0+阅读 · 2月3日
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