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multi-task learning

2556 papers

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Also known as

MTL MTTL MTLN

Co-occurring keywords

transfer learning (5442) text classification (6776) representation learning (6174) neural network (6616) named entity recognition (2801) large language model (12755) domain adaptation (4578) knowledge distillation (3680) attention mechanism (3975) sentiment analysis (2079)

Papers

Deep Segment Model for Acoustic Scene Classification INTERSPEECH 2022
Sharing Decoders: Network Fission for Multi-Task Pixel Prediction WACV 2022
SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion ACL 2022
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL 2022
MTGLS: Multi-Task Gaze Estimation With Limited Supervision WACV 2022
Deep Fusing Pre-trained Models into Neural Machine Translation AAAI 2022
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints AAAI 2022
Multi-Type Urban Crime Prediction AAAI 2022
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach WACV 2022
Billion-Scale Pretraining With Vision Transformers for Multi-Task Visual Representations WACV 2022
Measuring the Language of Self-Disclosure across Corpora ACL 2022
Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding AAAI 2022
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT NAACL 2022
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation NAACL 2022
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment AAAI 2022
MultiVerS: Improving scientific claim verification with weak supervision and full-document context NAACL 2022
Multi-Task Learning to Capture Changes in Mood Over Time NAACL 2022
Legal Judgment Prediction via Event Extraction with Constraints ACL 2022
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem ACL 2022
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting AAAI 2022
Aligned Multi-Task Gaussian Process AISTATS 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning NIPS 2022
Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation AAAI 2022
Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks ICML 2022