313 citations · 501 across the 6 of their papers we have counts for
6 papers
Adaptive Cross-Modal Few-Shot Learning
Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin +1
Metric-based meta-learning techniques have successfully been applied to few-shot classification problems. In this paper, we propose to leverage cross-modal information to enhance m…
A Walk with SGD
Chen Xing, Devansh Arpit, Christos Tsirigotis +1
We present novel empirical observations regarding how stochastic gradient descent (SGD) navigates the loss landscape of over-parametrized deep neural networks (DNNs). These observa…
A Sequential Matching Framework for Multi-turn Response Selection in Retrieval-based Chatbots
Yu Wu, Wei Wu, Chen Xing +3
We study the problem of response selection for multi-turn conversation in retrieval-based chatbots. The task requires matching a response candidate with a conversation context, who…
Hierarchical Recurrent Attention Network for Response Generation
Chen Xing, Wei Wu, Yu Wu +3
We study multi-turn response generation in chatbots where a response is generated according to a conversation context. Existing work has modeled the hierarchy of the context, but d…
Detecting Context Dependent Messages in a Conversational Environment
Chaozhuo Li, Yu Wu, Wei Wu +3
While automatic response generation for building chatbot systems has drawn a lot of attention recently, there is limited understanding on when we need to consider the linguistic co…
Topic Aware Neural Response Generation
Chen Xing, Wei Wu, Yu Wu +4
We consider incorporating topic information into the sequence-to-sequence framework to generate informative and interesting responses for chatbots. To this end, we propose a topic…