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Inductive Bias

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Showing 1401–1450 of 1529 papers

TitleStatusHype
Perceptual Inductive Bias Is What You Need Before Contrastive Learning—0
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach—0
Persistent Message Passing—0
Physics-aware, probabilistic model order reduction with guaranteed stability—0
Physics-Informed Computer Vision: A Review and Perspectives—0
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping—0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding—0
Polynomial Width is Sufficient for Set Representation with High-dimensional Features—0
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs—0
Positional Encoding as Spatial Inductive Bias in GANs—0
Power-Softmax: Towards Secure LLM Inference over Encrypted Data—0
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids—0
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction—0
Pre-Trained Model Recommendation for Downstream Fine-tuning—0
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation—0
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures—0
Probabilistic Modeling with Matrix Product States—0
Procedural Reasoning Networks for Understanding Multimodal Procedures—0
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction—0
Program Synthesis with Pragmatic Communication—0
Projections of Model Spaces for Latent Graph Inference—0
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning—0
Prompting Decision Transformer for Few-Shot Policy Generalization—0
Pseudo-Bidirectional Decoding for Local Sequence Transduction—0
PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction—0
Pyramid Transformer for Traffic Sign Detection—0
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging—0
Quality Diversity for Visual Pre-Training—0
Quantum Doubly Stochastic Transformers—0
Quaternion Collaborative Filtering for Recommendation—0
Question-Answering with Grammatically-Interpretable Representations—0
RandAR: Decoder-only Autoregressive Visual Generation in Random Orders—0
Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery—0
Reconstruction for Powerful Graph Representations—0
Recurrently Controlling a Recurrent Network with Recurrent Networks Controlled by More Recurrent Networks—0
Recursive Disentanglement Network—0
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals—0
Regularized Deep Signed Distance Fields for Reactive Motion Generation—0
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning—0
Reinforcement Learning for Adaptive Mesh Refinement—0
Reinforcement Learning for Generative AI: A Survey—0
Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning—0
Relating graph auto-encoders to linear models—0
Relational inductive bias for physical construction in humans and machines—0
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling—0
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
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