conftrace_

recurrent neural network

1790 papers

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Also known as

RNN

Co-occurring keywords

convolutional neural network (4226) long short-term memory (748) attention mechanism (4001) language model (4599) text classification (6793) representation learning (6206) speech recognition (1226) sequence modeling (288) language modeling (660) gated recurrent unit (136)

Papers

Parallelizing Legendre Memory Unit Training ICML 2021
Team ReadMe at CMCL 2021 Shared Task: Predicting Human Reading Patterns by Traditional Oculomotor Control Models and Machine Learning NAACL 2021
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification NIPS 2021
Neural Architecture Search as Sparse Supernet AAAI 2021
SynthASR: Unlocking Synthetic Data for Speech Recognition INTERSPEECH 2021
Neural Sequence Segmentation as Determining the Leftmost Segments NAACL 2021
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size AAAI 2021
A Unified Framework for Planning with Learned Neural Network Transition Models AAAI 2021
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales NIPS 2021
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network NIPS 2021
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems NIPS 2021
A mechanistic multi-area recurrent network model of decision-making NIPS 2021
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study NAACL 2021
Conformal Time-series Forecasting NIPS 2021
Self-Instantiated Recurrent Units with Dynamic Soft Recursion NIPS 2021
Charting and Navigating the Space of Solutions for Recurrent Neural Networks NIPS 2021
Cortico-cerebellar networks as decoupling neural interfaces NIPS 2021
Framing RNN as a kernel method: A neural ODE approach NIPS 2021
Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks AAAI 2021
On the Provable Generalization of Recurrent Neural Networks NIPS 2021
Turing Completeness of Bounded-Precision Recurrent Neural Networks NIPS 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers NIPS 2021
UNIPoint: Universally Approximating Point Processes Intensities AAAI 2021
Liquid Time-constant Networks AAAI 2021