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09/16/2023
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
Learning multi-lingual sentence embeddings is a fundamental and signific...
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06/09/2023
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction
Most existing word alignment methods rely on manual alignment datasets o...
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05/21/2023
Unsupervised Discovery of Continuous Skills on a Sphere
Recently, methods for learning diverse skills to generate various behavi...
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01/26/2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
In reinforcement learning (RL) with experience replay, experiences store...
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08/08/2022
Soft Sensors and Process Control using AI and Dynamic Simulation
During the operation of a chemical plant, product quality must be consis...
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05/09/2022
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
We present EASE, a novel method for learning sentence embeddings via con...
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03/19/2022
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models
We investigate what kind of structural knowledge learned in neural netwo...
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01/17/2022
Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning
The number of railway service disruptions has been increasing owing to i...
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10/15/2021
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
Recent studies have shown that multilingual pretrained language models c...
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10/15/2021
A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification
We present a multilingual bag-of-entities model that effectively boosts ...
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10/05/2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Randomized ensemble double Q-learning (REDQ) has recently achieved state...
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07/01/2021
Modeling Target-side Inflection in Placeholder Translation
Placeholder translation systems enable the users to specify how a specif...
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07/01/2021
Zero-pronoun Data Augmentation for Japanese-to-English Translation
For Japanese-to-English translation, zero pronouns in Japanese pose a ch...
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05/07/2021
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions
In many deep reinforcement learning settings, when an agent takes an act...
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01/06/2021
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces
Meta-reinforcement learning (RL) addresses the problem of sample ineffic...
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06/04/2020
Meta-Model-Based Meta-Policy Optimization
Model-based reinforcement learning (MBRL) has been applied to meta-learn...
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05/30/2020
Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation
Unsupervised bilingual word embedding (BWE) methods learn a linear trans...
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04/22/2020
Revisiting the Context Window for Cross-lingual Word Embeddings
Existing approaches to mapping-based cross-lingual word embeddings are b...
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06/25/2019
Optimistic Proximal Policy Optimization
Reinforcement Learning, a machine learning framework for training an aut...
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06/05/2019
Building a Computer Mahjong Player via Deep Convolutional Neural Networks
The evaluation function for imperfect information games is always hard t...
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05/22/2019
Learning Robust Options by Conditional Value at Risk Optimization
Options are generally learned by using an inaccurate environment model (...
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03/06/2019
Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning
Chemical plants are complex and dynamical systems consisting of many com...
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02/06/2019
Neural Fictitious Self-Play on ELF Mini-RTS
Despite the notable successes in video games such as Atari 2600, current...
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12/30/2018
Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks
Memory-Augmented Neural Networks (MANNs) are a class of neural networks ...
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09/29/2018
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients
Hierarchical planners that produce interpretable and appropriate plans a...
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09/10/2018
Multilingual Extractive Reading Comprehension by Runtime Machine Translation
Existing end-to-end neural network models for extractive Reading Compreh...
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09/07/2018
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks
Monte Carlo Tree Search (MCTS) is particularly adapted to domains where ...
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09/05/2018
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
A major obstacle in reinforcement learning-based sentence generation is ...
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06/28/2018
Hierarchical Reinforcement Learning with Abductive Planning
One of the key challenges in applying reinforcement learning to real-lif...
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02/12/2017
Learning to Parse and Translate Improves Neural Machine Translation
There has been relatively little attention to incorporating linguistic p...
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02/08/2017
Neural Machine Translation with Source-Side Latent Graph Parsing
This paper presents a novel neural machine translation model which joint...
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11/05/2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Transfer and multi-task learning have traditionally focused on either a ...
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07/01/2016
Domain Adaptation for Neural Networks by Parameter Augmentation
We propose a simple domain adaptation method for neural networks in a su...
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03/19/2016
Tree-to-Sequence Attentional Neural Machine Translation
Most of the existing Neural Machine Translation (NMT) models focus on th...
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03/19/2016
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings
We present a novel method for jointly learning compositional and non-com...
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05/11/2015
Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search
The UCT algorithm, which combines the UCB algorithm and Monte-Carlo Tree...
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02/28/2015