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Inductive Bias

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Showing 1501–1529 of 1529 papers

TitleStatusHype
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control—0
Sheaf Hypergraph Networks—0
Short-term and long-term memory self-attention network for segmentation of tumours in 3D medical images—0
Shot in the Dark: Few-Shot Learning with No Base-Class Labels—0
Simplicity Bias Leads to Amplified Performance Disparities—0
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks—0
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production—0
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions—0
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search—0
Smoothing the Geometry of Probabilistic Box Embeddings—0
SnakeGAN: A Universal Vocoder Leveraging DDSP Prior Knowledge and Periodic Inductive Bias—0
Sneaking Syntax into Transformer Language Models with Tree Regularization—0
SNeRF: Stylized Neural Implicit Representations for 3D Scenes—0
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling—0
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning—0
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation—0
Spatial Steerability of GANs via Self-Supervision from Discriminator—0
Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior—0
Stimulus-to-Stimulus Learning in RNNs with Cortical Inductive Biases—0
Tensor Dropout for Robust Learning—0
StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure—0
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
Structural Causal 3D Reconstruction—0
Structured Initialization for Vision Transformers—0
Structured World Belief for Reinforcement Learning in POMDP—0
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension—0
SuperBPE: Space Travel for Language Models—0
Switch Spaces: Learning Product Spaces with Sparse Gating—0
Symmetry and Generalisation in Machine Learning—0
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