research
∙
05/24/2023
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
Intent classification (IC) plays an important role in task-oriented dial...
share
research
∙
02/16/2023
Conversation Style Transfer using Few-Shot Learning
Conventional text style transfer approaches for natural language focus o...
research
∙
02/04/2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
When upgrading neural models to a newer version, new errors that were no...
research
∙
01/25/2023
Backward Compatibility During Data Updates by Weight Interpolation
Backward compatibility of model predictions is a desired property when u...
research
∙
12/20/2022
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs
Functionality and dialogue experience are two important factors of task-...
research
∙
04/14/2022
Label Semantic Aware Pre-training for Few-shot Text Classification
In text classification tasks, useful information is encoded in the label...
research
∙
02/07/2022
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Recent advance in deep learning has led to rapid adoption of machine lea...
research
∙
09/29/2021
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Pre-trained language models have been recently shown to benefit task-ori...
research
∙
09/09/2021
Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encoder
We introduce a Recursive INsertion-based Encoder (RINE), a novel approac...
research
∙
10/20/2020
Towards End-to-End In-Image Neural Machine Translation
In this paper, we offer a preliminary investigation into the task of in-...
research
∙
03/11/2020
Capturing document context inside sentence-level neural machine translation models with self-training
Neural machine translation (NMT) has arguably achieved human level parit...
research
∙
05/29/2019
A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models
Undirected neural sequence models such as BERT have received renewed int...
research
∙
03/31/2019
Molecular geometry prediction using a deep generative graph neural network
A molecule's geometry, also known as conformation, is one of a molecule'...
research
∙
02/19/2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
We propose a conditional non-autoregressive neural sequence model based ...
research
∙
08/17/2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
In this work, we propose to apply trust region optimization to deep rein...
research
∙
11/09/2015
Generating Images from Captions with Attention
Motivated by the recent progress in generative models, we introduce a mo...
research
∙
03/25/2015
Initialization Strategies of Spatio-Temporal Convolutional Neural Networks
We propose a new way of incorporating temporal information present in vi...
research
∙
02/16/2015