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Inductive Bias

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Showing 451–500 of 1529 papers

TitleStatusHype
Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic DynamicsCode0
Improving Equivariant Networks with Probabilistic Symmetry Breaking—0
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling—0
SuperBPE: Space Travel for Language Models—0
The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity—0
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction—0
Deep Cut-informed Graph Embedding and Clustering—0
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks—0
IDInit: A Universal and Stable Initialization Method for Neural Network Training—0
EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity StatesCode0
Leap: Inductive Link Prediction via Learnable TopologyAugmentationCode0
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks—0
Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks—0
Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks—0
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions—0
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence—0
Network Tomography with Path-Centric Graph Neural Network—0
A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis—0
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators—0
Improving Value-based Process Verifier via Structural Prior Injection—0
Compress image to patches for Vision TransformerCode0
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control—0
Exploring the Potential of Encoder-free Architectures in 3D LMMsCode0
Powerformer: A Transformer with Weighted Causal Attention for Time-series ForecastingCode0
Data Augmentation and Regularization for Learning Group EquivarianceCode0
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning—0
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning—0
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs—0
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks—0
Kronecker Mask and Interpretive Prompts are Language-Action Video LearnersCode0
Is In-Context Universality Enough? MLPs are Also Universal In-Context—0
Estimating the Probability of Sampling a Trained Neural Network at Random—0
On the inductive bias of infinite-depth ResNets and the bottleneck rank—0
Application of Structured State Space Models to High energy physics with locality-sensitive hashing—0
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction—0
Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness—0
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression—0
Causal vs. Anticausal merging of predictors—0
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction—0
Symmetry and Generalisation in Machine Learning—0
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning—0
Perceptual Inductive Bias Is What You Need Before Contrastive Learning—0
Weakly Supervised Semantic Segmentation via Progressive Confidence Region ExpansionCode0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
Can Large Language Models Adapt to Other Agents In-Context?—0
From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba—0
Temporally Consistent Object-Centric Learning by Contrasting Slots—0
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration—0
Are the Latent Representations of Foundation Models for Pathology Invariant to Rotation?Code0
DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models—0
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