Recurrent Neural Networks
675 papers
Papers per year
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Papers
Learning efficient task-dependent representations with synaptic plasticity
NeurIPS 2020
Learning Multi-Level Dependencies for Robust Word Recognition
AAAI 2020
Learning to Optimize on SPD Manifolds
CVPR 2020
Linear Dynamical Systems as a Core Computational Primitive
NeurIPS 2020
Metaphor Detection using Ensembles of Bidirectional Recurrent Neural Networks
ACL 2020
MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion Recognition
AAAI 2020
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection
AAAI 2020
MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification
EMNLP 2020
Mogrifier LSTM
ICLR 2020
Multi-Zone Unit for Recurrent Neural Networks
AAAI 2020
MUSIC COLLAB: An IoT and ML Based Solution for Remote Music Collaboration (Student Abstract)
AAAI 2020
Neural Dialogue State Tracking with Temporally Expressive Networks
EMNLP 2020
Neural Metaphor Detection with a Residual biLSTM-CRF Model
ACL 2020
NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets
EMNLP 2020
Orderless Recurrent Models for Multi-Label Classification
CVPR 2020
Particle Filter Recurrent Neural Networks
AAAI 2020
Path Ranking with Attention to Type Hierarchies
AAAI 2020
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
AAAI 2020
Recurrent Inference in Text Editing
EMNLP 2020
Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment
ACL 2020
Regularizing Towards Permutation Invariance In Recurrent Models
NeurIPS 2020
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs
ACL 2020
Reservoir Computing meets Recurrent Kernels and Structured Transforms
NeurIPS 2020
RNNs can generate bounded hierarchical languages with optimal memory
EMNLP 2020
Robust Named Entity Recognition with Truecasing Pretraining
AAAI 2020