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Inductive Bias

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Showing 51–100 of 1529 papers

TitleStatusHype
JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections—0
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection—0
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation—0
Trajectory Entropy Reinforcement Learning for Predictable and Robust Control—0
Attonsecond Streaking Phase Retrieval Via Deep Learning Methods—0
Learning simple heuristic rules for classifying materials based on chemical composition—0
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning—0
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models—0
Vision Transformers in Precision Agriculture: A Comprehensive Survey—0
Graph Fourier Transformer with Structure-Frequency InformationCode0
Quantum Doubly Stochastic Transformers—0
Dual-channel Heterophilic Message Passing for Graph Fraud DetectionCode0
NoisyRollout: Reinforcing Visual Reasoning with Data AugmentationCode2
ChemKANs for Combustion Chemistry Modeling and Acceleration—0
Generalization through variance: how noise shapes inductive biases in diffusion modelsCode0
AtlasD: Automatic Local Symmetry Discovery—0
Towards A Universal Graph Structural Encoder—0
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data SynthesizingCode0
Learning Object Focused Attention—0
Deep Reinforcement Learning via Object-Centric AttentionCode0
Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic DynamicsCode0
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene FlowCode1
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
Wyckoff Transformer: Generation of Symmetric CrystalsCode1
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
Are Sparse Autoencoders Useful? A Case Study in Sparse ProbingCode1
A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis—0
Improving Value-based Process Verifier via Structural Prior Injection—0
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators—0
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control—0
Compress image to patches for Vision TransformerCode0
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
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning—0
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning—0
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