Co-occurring keywords · papers mentioning both
Papers
Tensor Networks for Probabilistic Sequence Modeling
AISTATS 2021
When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
EMNLP 2021
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network
ICML 2020
A State-independent and Time-evolving Network for Early Rumor Detection in Social Media
EMNLP 2020
Bivariate Beta-LSTM
AAAI 2020
Compact Autoregressive Network
AAAI 2020
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions
WACV 2020
CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training
EMNLP 2020
DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling
ICLR 2020
Discovering Subsequence Patterns for Next POI Recommendation
IJCAI 2020
Disentangled Representations for Sequence Data using Information Bottleneck Principle
ACML 2020
Do Transformers Need Deep Long-Range Memory?
ACL 2020
Efficient Dialogue State Tracking by Selectively Overwriting Memory
ACL 2020
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
AAAI 2020
Importance-Aware Learning for Neural Headline Editing
AAAI 2020
Imputer: Sequence Modelling via Imputation and Dynamic Programming
ICML 2020
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
L4DC 2020
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior
AAAI 2020
Linear Dynamical Systems as a Core Computational Primitive
NeurIPS 2020
Location Attention for Extrapolation to Longer Sequences
ACL 2020
Meshed-Memory Transformer for Image Captioning
CVPR 2020
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
AAAI 2020
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection
AAAI 2020
Multi-Modal Fusion with Gating Using Audio, Lexical and Disfluency Features for Alzheimer’s Dementia Recognition from Spontaneous Speech
Interspeech 2020
On the Computational Power of Transformers and Its Implications in Sequence Modeling
CoNLL 2020