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Inductive Bias

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Showing 1351–1400 of 1529 papers

TitleStatusHype
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature MapsCode0
Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence—0
Graph Convolutional Gaussian Processes For Link Prediction—0
Local Nonparametric Meta-LearningCode0
Revisiting Spatial Invariance with Low-Rank Local Connectivity—0
Conditional Deep Gaussian Processes: multi-fidelity kernel learningCode0
Pseudo-Bidirectional Decoding for Local Sequence Transduction—0
On Learning Vehicle Detection in Satellite Video—0
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks—0
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning—0
NetGAN without GAN: From Random Walks to Low-Rank Approximations—0
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension—0
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters—0
Metagross: Meta Gated Recursive Controller Units for Sequence Modeling—0
Just Add Functions: A Neural-Symbolic Language Model—0
Neural Module Networks for Reasoning over TextCode0
Minimum Class Confusion for Versatile Domain AdaptationCode0
Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks—0
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations—0
Towards Better Understanding of Disentangled Representations via Mutual Information—0
Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps—0
Learning From Brains How to Regularize MachinesCode0
Rate-Regularization and Generalization in VAEs—0
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks—0
HMEAE: Hierarchical Modular Event Argument ExtractionCode0
Convolutional Conditional Neural ProcessesCode0
Poisson-Randomized Gamma Dynamical SystemsCode0
Evaluating Lottery Tickets Under Distributional Shifts—0
Reducing Domain Gap by Reducing Style BiasCode0
Graph Representation learning for Audio & Music genre Classification—0
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement—0
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
R-SQAIR: Relational Sequential Attend, Infer, Repeat—0
Receding Horizon CuriosityCode0
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted GraphsCode0
Making sense of sensory inputCode0
Boosting Image Recognition with Non-differentiable Constraints—0
Generating Abstractive Summaries with Finetuned Language Models—0
Student Specialization in Deep ReLU Networks With Finite Width and Input Dimension—0
Symplectic ODE-Net: Learning Hamiltonian Dynamics with ControlCode0
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks—0
Learning Entailment-Based Sentence Embeddings from Natural Language Inference—0
Attention over Phrases—0
Leveraging inductive bias of neural networks for learning without explicit human annotations—0
On the implicit minimization of alternative loss functions when training deep networks—0
Neural networks are a priori biased towards Boolean functions with low entropy—0
Leveraging Entanglement Entropy for Deep Understanding of Attention Matrix in Text Matching—0
Global-Local Network for Learning Depth with Very Sparse Supervision—0
Procedural Reasoning Networks for Understanding Multimodal Procedures—0
Learning Interpretable Disease Self-Representations for Drug RepositioningCode0
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