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Inductive Bias

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Showing 1001–1050 of 1529 papers

TitleStatusHype
Differentiable Cluster Graph Neural Network—0
Differentiable programming across the PDE and Machine Learning barrier—0
Differentiable Robust LQR Layers—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement—0
Directed Acyclic Graph Convolutional Networks—0
Discovering Abstract Symbolic Relations by Learning Unitary Group Representations—0
Disentangled Relational Representations for Explaining and Learning from Demonstration—0
Disentangling A Single MR Modality—0
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models—0
Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs—0
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel—0
Distilling Inductive Bias: Knowledge Distillation Beyond Model Compression—0
Distilling Symbolic Priors for Concept Learning into Neural Networks—0
Distributed Representations of Words to Guide Bootstrapped Entity Classifiers—0
Diverse Projection Ensembles for Distributional Reinforcement Learning—0
DMTNet: Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer—0
DNF-Net: A Neural Architecture for Tabular Data—0
DocNet: Semantic Structure in Inductive Bias Detection Models—0
Do deep neural networks have an inbuilt Occam's razor?—0
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks—0
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy—0
Do Quantum Neural Networks have Simplicity Bias?—0
Double Descent in Portfolio Optimization: Dance between Theoretical Sharpe Ratio and Estimation Accuracy—0
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data—0
DSP-informed bandwidth extension using locally-conditioned excitation and linear time-varying filter subnetworks—0
DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models—0
Dual Reinforcement-Based Specification Generation for Image De-Rendering—0
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation—0
Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks—0
Dynamic Recognition of Speakers for Consent Management by Contrastive Embedding Replay—0
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back—0
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation—0
Effective and Interpretable Information Aggregation with Capacity Networks—0
Efficient Learnable Collaborative Attention for Single Image Super-Resolution—0
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation—0
Efficient Stagewise Pretraining via Progressive Subnetworks—0
Efficient Vision Transformer for Accurate Traffic Sign Detection—0
Ego-Centric Spatial Memory Networks—0
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks—0
Eigenvalue initialisation and regularisation for Koopman autoencoders—0
Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence—0
Emergence of Maps in the Memories of Blind Navigation Agents—0
Emergent Interpretable Symbols and Content-Style Disentanglement via Variance-Invariance Constraints—0
Empirical Analysis of the Inductive Bias of Recurrent Neural Networks by Discrete Fourier Transform of Output Sequences—0
Enabling tabular deep learning when d n with an auxiliary knowledge graph—0
End-to-end View Synthesis via NeRF Attention—0
Enhancing Dynamic CT Image Reconstruction with Neural Fields and Optical Flow—0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance—0
Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation—0
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