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| Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization |
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| Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation |
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| Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation |
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| TweetNLP: Cutting-Edge Natural Language Processing for Social Media |
29 Jun 2022 |
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| Directed Acyclic Transformer for Non-Autoregressive Machine Translation |
16 May 2022 |
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| Energy-Based Contrastive Learning of Visual Representations |
10 Feb 2022 |
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| Normalizing Flows for Knockoff-free Controlled Feature Selection |
3 Jun 2021 |
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| BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition |
26 May 2021 |
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| D2RL: Deep Dense Architectures in Reinforcement Learning |
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17 Oct 2020 |
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5 Oct 2020 |
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2 Aug 2020 |
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| Pragmatic Issue-Sensitive Image Captioning |
29 Apr 2020 |
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6 Apr 2020 |
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| Partial Optimal Transport with Applications on Positive-Unlabeled Learning |
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| How to train your neural ODE: the world of Jacobian and kinetic regularization |
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| A Divergence Minimization Perspective on Imitation Learning Methods |
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| AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers |
9 Sep 2019 |
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| Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies |
6 Jun 2019 |
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6 Jun 2019 |
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25 May 2019 |
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4 Apr 2019 |
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27 Sep 2018 |
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6 Jun 2018 |
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| Isolating Sources of Disentanglement in Variational Autoencoders |
14 Feb 2018 |
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| TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning |
31 Oct 2017 |
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| Improving Variational Inference with Inverse Autoregressive Flow |
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