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Inductive Bias

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Showing 1451–1475 of 1529 papers

TitleStatusHype
Residual ANODE—0
ResNets Are Deeper Than You Think—0
The Power of Linear Combinations: Learning with Random Convolutions—0
Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space—0
Rethinking Token-Mixing MLP for MLP-based Vision Backbone—0
Retinotopy Inspired Brain Encoding Model and the All-for-One Training Recipe—0
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions—0
Revisiting Spatial Invariance with Low-Rank Local Connectivity—0
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?—0
Reviving Shift Equivariance in Vision Transformers—0
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks—0
RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer—0
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer—0
Rigidity Preserving Image Transformations and Equivariance in Perspective—0
Robust Domain Adaptation: Representations, Weights and Inductive Bias—0
Robustness and invariance properties of image classifiers—0
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks—0
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement—0
Rodrigues Network for Learning Robot Actions—0
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs—0
R-SQAIR: Relational Sequential Attend, Infer, Repeat—0
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces—0
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens—0
Safeguarding against spurious AI-based predictions: The case of automated verbal memory assessment—0
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