Co-occurring keywords · papers mentioning both
Papers
Multi-Task Video Captioning with Video and Entailment Generation
ACL 2017
Neural Architectures for Multilingual Semantic Parsing
ACL 2017
Neural End-to-End Learning for Computational Argumentation Mining
ACL 2017
Noise Mitigation for Neural Entity Typing and Relation Extraction
EACL 2017
Online Multitask Relative Similarity Learning
IJCAI 2017
Opinion Recommendation Using A Neural Model
EMNLP 2017
Procedural Generation of Videos to Train Deep Action Recognition Networks
CVPR 2017
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction
IJCNLP 2017
Reading Wikipedia to Answer Open-Domain Questions
ACL 2017
Self-Paced Multitask Learning with Shared Knowledge
IJCAI 2017
Semi-supervised Multitask Learning for Sequence Labeling
ACL 2017
SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing
IJCAI 2017
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity
ICML 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CoRL 2017
Towards Speech Emotion Recognition “in the Wild” Using Aggregated Corpora and Deep Multi-Task Learning
Interspeech 2017
Towards Zero-Shot Frame Semantic Parsing for Domain Scaling
Interspeech 2017
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning
ACL 2017
Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
CVPR 2017
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
IJCNLP 2017
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
EMNLP 2017
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking
CVPR 2017
When is multitask learning effective? Semantic sequence prediction under varying data conditions
EACL 2017
Adaptive Smoothed Online Multi-Task Learning
NeurIPS 2016
An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions
Interspeech 2016
Asymmetric Multi-task Learning Based on Task Relatedness and Loss
ICML 2016