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Inductive Bias

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Showing 1301–1350 of 1529 papers

TitleStatusHype
A case for new neural networks smoothness constraints—0
Neuralizing Efficient Higher-order Belief Propagation—0
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?—0
Generalizable Machine Learning in Neuroscience using Graph Neural Networks—0
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?Code0
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning—0
Shot in the Dark: Few-Shot Learning with No Base-Class Labels—0
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational AutoencodersCode0
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time—0
Open-set Short Utterance Forensic Speaker Verification using Teacher-Student Network with Explicit Inductive Bias—0
Collaborative Group Learning—0
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations—0
Uncovering the Corona Virus Map Using Deep Entities and Relationship Models—0
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling—0
Prevalence of Neural Collapse during the terminal phase of deep learning trainingCode0
Learning Insulin-Glucose Dynamics in the Wild—0
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics—0
Towards Learning Convolutions from ScratchCode0
Hierachial Protein Function Prediction with Tails-GNNs—0
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective—0
Learning to Match Distributions for Domain Adaptation—0
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry—0
Can neural networks acquire a structural bias from raw linguistic data?—0
Program Synthesis with Pragmatic Communication—0
Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum—0
Group Equivariant Deep Reinforcement LearningCode0
Improving Image Captioning with Better Use of Caption—0
Identifying Collaborative Conversations using Latent Discourse Behaviors—0
GCN-BMP: Investigating Graph Representation Learning for DDI Prediction Task—0
Is SGD a Bayesian sampler? Well, almost—0
Robust Domain Adaptation: Representations, Weights and Inductive Bias—0
Spectral Bias and Task-Model Alignment Explain Generalization in Kernel Regression and Infinitely Wide Neural NetworksCode0
Maximum Roaming Multi-Task LearningCode0
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds—0
DNF-Net: A Neural Architecture for Tabular Data—0
Information-Theoretic Generalization Bounds for Meta-Learning and Applications—0
Phonetic and Visual Priors for Decipherment of Informal RomanizationCode0
Stolen Probability: A Structural Weakness of Neural Language ModelsCode0
Towards a Deep Network Architecture for Structured Smoothness—0
Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint—0
Implementing Inductive bias for different navigation tasks through diverse RNN attrractors—0
Multi-scale Transformer Language Models—0
Multiplicative Interactions and Where to Find Them—0
Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning—0
Variational Integrator Graph Networks for Learning Energy Conserving Dynamical SystemsCode0
Towards causal generative scene models via competition of experts—0
Learning the grammar of drug prescription: recurrent neural network grammars for medication information extraction in clinical texts—0
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation—0
Weight Priors for Learning Identity Relations—0
PushNet: Efficient and Adaptive Neural Message PassingCode0
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