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Inductive Bias

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Showing 1251–1300 of 1529 papers

TitleStatusHype
Classification by Attention: Scene Graph Classification with Prior Knowledge—0
Exploring End-to-End Differentiable Natural Logic ModelingCode1
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization—0
Learning to Represent Action Values as a Hypergraph on the Action Vertices—0
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals—0
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction—0
Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural NetsCode0
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data—0
Conditional Mutual Information-Based Generalization Bound for Meta Learning—0
A case for new neural networks smoothness constraints—0
Neuralizing Efficient Higher-order Belief Propagation—0
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient DescentCode0
Generalizable Machine Learning in Neuroscience using Graph Neural Networks—0
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?—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
GraPPa: Grammar-Augmented Pre-Training for Table Semantic ParsingCode1
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
Structured Attention for Unsupervised Dialogue Structure InductionCode1
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural NetworksCode1
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
Self-Sampling for Neural Point Cloud ConsolidationCode1
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
Fuzzy Graph Neural Network for Few-Shot LearningCode1
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
Learning to plan with uncertain topological mapsCode1
Program Synthesis with Pragmatic Communication—0
Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum—0
GCN-BMP: Investigating Graph Representation Learning for DDI Prediction Task—0
Identifying Collaborative Conversations using Latent Discourse Behaviors—0
Group Equivariant Deep Reinforcement LearningCode0
Latent Compositional Representations Improve Systematic Generalization in Grounded Question AnsweringCode1
Improving Image Captioning with Better Use of Caption—0
Is SGD a Bayesian sampler? Well, almost—0
Building powerful and equivariant graph neural networks with structural message-passingCode1
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
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