The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases | Paper Citation Record

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This paper cites Convolutional neural networks for speech recognition.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Convolutional neural networks for speech recognition

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases End-to-end en- vironmental sound classification using a 1d convolutional neural network

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Applications of the generalized fourier transform in numerical linear algebra

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Noether networks: meta-learning useful conserved quantities

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Statistical applications for equivariant matrices

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Deep scattering spectrum

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Unitary evolution recurrent neural networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Layer Normalization

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases The UEA multivariate time series classification archive, 2018

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Neural Machine Translation by Jointly Learning to Align and Translate

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Trellis Networks for Sequence Modeling

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Mad Max: Affine Spline Insights into Deep Learning

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases The quickhull algo- rithm for convex hulls

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Ai in healthcare: Ethical and privacy challenges

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases B-spline {cnn}s on lie groups

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Roto-translation covariant convolutional networks for medical image analysis

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Attention Augmented Convolutional Networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Understanding and simplifying one-shot architecture search

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This paper cites Learning long-term depen- BIBLIOGRAPHY 193 dencies with gradient descent is difficult.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Learning long-term depen- BIBLIOGRAPHY 193 dencies with gradient descent is difficult

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases A Comprehensive Survey on Hardware-Aware Neural Architecture Search

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Learning invariances in neural networks from training data

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Spectrotemporal resolution tradeoff in auditory processing as revealed by human auditory brainstem re- sponses and psychophysical indices

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Recognition-by-components: a theory of human image under- standing

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Experiment tracking with weights and biases, 2020

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases The role of temporal structure in human vision

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Lorentz group equivariant neural network for particle physics

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases SMASH: One-Shot Model Architecture Search through HyperNetworks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Recognition by children of inverted photos of faces

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Language models are few-shot learners

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Recognizing objects and faces

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Invariant scattering convolution networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Once-for-All: Train One Network and Specialize it for Efficient Deployment

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases The concept of group and the theory of perception

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases A program to build e (n)- equivariant steerable cnns

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Principled weight initialization for hypernetworks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Di- lated recurrent neural networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Learning Augmentation Distributions using Transformed Risk Minimization

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Recurrent neural networks for multivariate time series with missing values

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Linear system theory and design

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases A group-theoretic framework for data augmentation

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Stabilizing differentiable architecture search via perturbation-based regularization

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Progressive darts: Bridging the op- timization gap for nas in the wild

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Graph-based global reasoning networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Long Short-Term Memory-Networks for Machine Reading

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Some experiments on the recognition of speech, with one and with two ears

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Parallelizing Legendre Memory Unit Training

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Automatic tagging using deep convolutional neural networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Xception: Deep learning with depthwise separable convolu- tions

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Rethinking Attention with Performers

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases PaLM: Scaling Language Modeling with Pathways

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases DARTS-: Robustly Stepping out of Performance Collapse Without Indicators

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases An analysis of single-layer net- works in unsupervised feature learning

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Group equivariant convolutional networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Steerable CNNs

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Spherical cnns

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases A general theory of equivariant cnns on homogeneous spaces

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Gauge Equivariant Convolutional Networks and the Icosahedral CNN

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Very Deep Convolutional Networks for Text Classification

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Fast construction of k-nearest neighbor graphs for point clouds

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases On the relation- ship between self-attention and convolutional layers

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases A volumetric method for building complex models from range images

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Deformable convolutional networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Very deep convo- lutional neural networks for raw waveforms

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Picture memory experiments

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Fundamental papers in wavelet theory

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Unresolved cited work

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Language mod- eling with gated convolutional networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Gru-ode-bayes: Continuous modeling of sporadically-observed time series

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases DeepSphere: a graph-based spherical CNN

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Au- tomatic symmetry discovery with lie algebra convolutional network

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Insect cyborgs: Bio-mimetic feature gen- erators improve ml accuracy on limited data

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Diffusion models beat gans on image synthesis

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Affine Self Convolution

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Learning to convolve: A generalized weight-tying approach

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases End-to-end learning for music au- dio

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Exploiting cyclic symmetry in convolutional neural networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Searching for a robust neural architecture in four gpu hours

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Brp-nas: Prediction-based nas using gcns

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Abstract algebra, volume 3

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Generative Models as Distributions of Functions

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Neural architecture search: A survey

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Lipschitz Recurrent Neural Networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Cross-domain 3d equivariant image embeddings

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Equivariant multi-view networks

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Spin-weighted spherical cnns

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