sequence model

Learning to Recombine and Resample Data For Compositional Generalization ICLR 2021 Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021 Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks NeurIPS 2021 Reducing Streaming ASR Model Delay with Self Alignment Interspeech 2021 A Character-Centric Neural Model for Automated Story Generation AAAI 2020 Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement JMLR 2020 Autoregressive Affective Language Forecasting: A Self-Supervised Task COLING 2020 Calibration, Entropy Rates, and Memory in Language Models ICML 2020 Compressive Transformers for Long-Range Sequence Modelling ICLR 2020 DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool COLING 2020 Good-Enough Compositional Data Augmentation ACL 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 Learning Insulin-Glucose Dynamics in the Wild MLHC 2020 Meeting the 2020 Duolingo Challenge on a Shoestring ACL 2020 Now You’re Speaking My Language: Visual Language Identification Interspeech 2020 Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019 An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search NAACL 2019 Autoregressive Text Generation Beyond Feedback Loops EMNLP 2019 Deep Equilibrium Models NeurIPS 2019 Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking CVPR 2019 Fast Structured Decoding for Sequence Models NeurIPS 2019 Learning to Optimize in Swarms NeurIPS 2019 Music Transformer: Generating Music with Long-Term Structure ICLR 2019 Parallelizable Stack Long Short-Term Memory NAACL 2019