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sequence modeling

348 papers

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