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Inductive Bias

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Showing 951–1000 of 1529 papers

TitleStatusHype
Relaxed Equivariance via Multitask Learning—0
Remixers: A Mixer-Transformer Architecture with Compositional Operators for Natural Language Understanding—0
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics—0
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning—0
Repurposing Decoder-Transformer Language Models for Abstractive Summarization—0
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
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations—0
Sampled Transformer for Point Sets—0
Scalable unsupervised alignment of general metric and non-metric structures—0
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? An Extensive Empirical Study on Language Tasks—0
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?—0
Scaling Vision-based End-to-End Driving with Multi-View Attention Learning—0
Scaling up graph homomorphism for classification via sampling—0
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer—0
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure—0
sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures—0
Linking-Enhanced Pre-Training for Table Semantic Parsing—0
SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation—0
Selective imitation on the basis of reward function similarity—0
Self-attention-based non-linear basis transformations for compact latent space modelling of dynamic optical fibre transmission matrices—0
Self-Instantiated Recurrent Units with Dynamic Soft Recursion—0
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series—0
Self-Supervision by Prediction for Object Discovery in Videos—0
Semantic Composition in Visually Grounded Language Models—0
Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation—0
SenSeNet: Neural Keyphrase Generation with Document Structure—0
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