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Found 6 papers, 3 papers with code
Representing Molecules as Random Walks Over Interpretable Grammars
Recent research in molecular discovery has primarily been devoted to small, drug-like molecules, leaving many similarly important applications in material design without adequate technology.
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents
We create a new multilingual benchmark, X-RiSAWOZ, by translating the Chinese RiSAWOZ to 4 languages: English, French, Hindi, Korean; and a code-mixed English-Hindi language.
Improving Representational Continuity via Continued Pretraining
We consider the continual representation learning setting: sequentially pretrain a model $M'$ on tasks $T_1, \ldots, T_T$, and then adapt $M'$ on a small amount of data from each task $T_i$ to check if it has forgotten information from old tasks.
Do Neural Networks Generalize from Self-Averaging Sub-classifiers in the Same Way As Adaptive Boosting?
In recent years, neural networks (NNs) have made giant leaps in a wide variety of domains.
Investigating Effect of Dialogue History in Multilingual Task Oriented Dialogue Systems
Therefore, we devise an efficient and effective training solution for multilingual task-orientated dialogue systems, using the same dataset generation pipeline and end-to-end dialogue system architecture as BiToD[5], which adopted some key design choices for a minimalistic natural language design where formal dialogue states are used in place of natural language inputs.
Alpha-Mini: Minichess Agent with Deep Reinforcement Learning
We train an agent to compete in the game of Gardner minichess, a downsized variation of chess played on a 5x5 board.
