conftrace_

sequence model

92 papers

Explore in graph

Co-occurring keywords

recurrent neural network (1790) neural network (6616) text generation (2913) sequence modeling (288) autoregressive model (456) state space model (390) language model (4599) variational autoencoder (1288) long short-term memory (748) data augmentation (3052)

Papers

Grapheme-to-Phoneme Conversion for Thai using Neural Regression Models NAACL 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NIPS 2022
Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation NAACL 2022
Using Fluency Representation Learned from Sequential Raw Features for Improving Non-native Fluency Scoring INTERSPEECH 2022
On the Parameterization and Initialization of Diagonal State Space Models NIPS 2022
Multistate analysis with infinite mixtures of Markov chains UAI 2022
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models EMNLP 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NIPS 2022
Predictive Querying for Autoregressive Neural Sequence Models NIPS 2022
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models ICML 2022
Mode recovery in neural autoregressive sequence modeling IJCNLP 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers NIPS 2021
A generative nonparametric Bayesian model for whole genomes NIPS 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning NIPS 2021
Attentive Neural Point Processes for Event Forecasting AAAI 2021
Reducing Streaming ASR Model Delay with Self Alignment INTERSPEECH 2021
Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification AAAI 2021
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks NIPS 2021
Learning and Analyzing Generation Order for Undirected Sequence Models EMNLP 2021
Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement JMLR 2020
Autoregressive Affective Language Forecasting: A Self-Supervised Task COLING 2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool COLING 2020
Learning Insulin-Glucose Dynamics in the Wild MLHC 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020