Co-occurring keywords · papers mentioning both
Papers
Temporally Correlated Task Scheduling for Sequence Learning
ICML 2021
Text Augmentation in a Multi-Task View
EACL 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
AAAI 2021
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
EMNLP 2021
A Self-Tuning Actor-Critic Algorithm
NeurIPS 2020
Auxiliary Task Reweighting for Minimum-data Learning
NeurIPS 2020
Auxiliary Tasks Speed Up Learning Point Goal Navigation
CoRL 2020
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features
AAAI 2020
DATNet: Dense Auxiliary Tasks for Object Detection
WACV 2020
Efficient Strategies for Hierarchical Text Classification: External Knowledge and Auxiliary Tasks
ACL 2020
English-to-Chinese Transliteration with Phonetic Auxiliary Task
AACL 2020
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks
ACL 2020
Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task
IJCAI 2020
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction
CVPR 2020
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions
ACL 2020
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
EMNLP 2020
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition
AAAI 2020
On Losses for Modern Language Models
EMNLP 2020
Predictive Information Accelerates Learning in RL
NeurIPS 2020
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
ICLR 2020
Zero-Shot Text-to-SQL Learning with Auxiliary Task
AAAI 2020
Adaptive Auxiliary Task Weighting for Reinforcement Learning
NeurIPS 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning
NeurIPS 2019
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
AAAI 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
ICML 2019