exposure bia

Residual Energy-Based Models for Text Generation ICLR 2020 TeaForN: Teacher-Forcing with N-grams EMNLP 2020 An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019 A New GAN-Based End-to-End TTS Training Algorithm Interspeech 2019 Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization EMNLP 2019 Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation NAACL 2019 Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking CVPR 2019 Evaluating Text GANs as Language Models NAACL 2019 Generalization in Generation: A closer look at Exposure Bias EMNLP 2019 Scheduled Sampling for Transformers ACL 2019 What and Where the Themes Dominate in Image AAAI 2019 Bidirectional Generative Adversarial Networks for Neural Machine Translation CoNLL 2018 Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation EMNLP 2018 Improving Language Modeling with an Adversarial Critic for Automatic Speech Recognition Interspeech 2018 Multi-source transformer with combined losses for automatic post editing EMNLP 2018 Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing ACL 2018 SEARNN: Training RNNs with global-local losses ICLR 2018 Token-level and sequence-level loss smoothing for RNN language models ACL 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018 Training Recurrent Neural Network through Moment Matching for NLP Applications Interspeech 2018 Differentiable Scheduled Sampling for Credit Assignment ACL 2017 Grammatical Error Correction with Neural Reinforcement Learning IJCNLP 2017