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Inductive Bias

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TitleStatusHype
Learning to Match Distributions for Domain Adaptation—0
Learning to Represent Action Values as a Hypergraph on the Action Vertices—0
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment—0
Leveraging Entanglement Entropy for Deep Understanding of Attention Matrix in Text Matching—0
Leveraging inductive bias of neural networks for learning without explicit human annotations—0
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning—0
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups—0
Lie Point Symmetry and Physics Informed Networks—0
Lifelong Learning with Non-i.i.d. Tasks—0
Lightweight Vision Transformer with Cross Feature Attention—0
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG—0
Linear Transformer Topological Masking with Graph Random Features—0
Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment—0
Locality-Aware Graph-Rewiring in GNNs—0
LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach—0
Logic and the 2-Simplicial Transformer—0
Long-Distance Dependencies Don't Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations—0
Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization—0
LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias—0
MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling—0
Maelstrom Networks—0
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks—0
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization—0
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing—0
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition—0
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