← Learning Types
Deep Learning › Learning Types ›

Multi-Task Learning

955 directly classified papers

Papers per year

Papers

Learning to Multitask NIPS 2018
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation NIPS 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection NIPS 2018
Multi-Layered Gradient Boosting Decision Trees NIPS 2018
Semi-Supervised Learning for Neural Keyphrase Generation EMNLP 2018
Syntactic Scaffolds for Semantic Structures EMNLP 2018
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding EMNLP 2018
Cross-topic Argument Mining from Heterogeneous Sources EMNLP 2018
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning ACL 2018
Character-level Supervision for Low-resource POS Tagging ACL 2018
Multi-task learning for historical text normalization: Size matters ACL 2018
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss ACL 2018
Multitask Parsing Across Semantic Representations ACL 2018
A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling ACL 2018
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models EMNLP 2018
Extracting Entities and Relations with Joint Minimum Risk Training EMNLP 2018
Supervised Domain Enablement Attention for Personalized Domain Classification EMNLP 2018
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning EMNLP 2018
Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification EMNLP 2018
An End-to-End Multi-task Learning Model for Fact Checking EMNLP 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding EMNLP 2018
Linguistic representations in multi-task neural networks for ellipsis resolution EMNLP 2018
Analyzing Learned Representations of a Deep ASR Performance Prediction Model EMNLP 2018
Detect-and-Track: Efficient Pose Estimation in Videos CVPR 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing CVPR 2018