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

Expressive probabilistic sampling in recurrent neural networks NIPS 2023
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds NIPS 2023
Adaptive Whitening in Neural Populations with Gain-modulating Interneurons ICML 2023
Sparse Deep Learning for Time Series Data: Theory and Applications NIPS 2023
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting NIPS 2023
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels AAAI 2023
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition WACV 2023
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits NIPS 2023
Continual Learning With Dependency Preserving Hypernetworks WACV 2023
Language Model Personalization for Improved Touchscreen Typing INTERSPEECH 2023
End-to-End Video Matting With Trimap Propagation CVPR 2023
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization NIPS 2023
ATHENA: Mathematical Reasoning with Thought Expansion EMNLP 2023
Challenging the “One Single Vector per Token” Assumption EMNLP 2023
Temporal Knowledge Graph Reasoning Based on N-tuple Modeling EMNLP 2023
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels NIPS 2023
On the Representational Capacity of Recurrent Neural Language Models EMNLP 2023
ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023
Recurrent Neural Language Models as Probabilistic Finite-state Automata EMNLP 2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023
Simulating Network Paths with Recurrent Buffering Units AAAI 2023
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks AAAI 2023
Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions EMNLP 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies NIPS 2023
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting AAAI 2023