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Multi-Task Learning

110 directly classified papers

Papers per year

Papers

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NIPS 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework CVPR 2023
Transfer Learning to Aid Dysarthria Severity Classification for Patients with Amyotrophic Lateral Sclerosis INTERSPEECH 2023
Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis NIPS 2023
Low-Rank Updates of pre-trained Weights for Multi-Task Learning ACL 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NIPS 2023
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation NIPS 2023
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture IJCAI 2023
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP ACL 2023
A Multi-task Learning Framework for Quality Estimation ACL 2023
Efficient Controllable Multi-Task Architectures ICCV 2023
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions CVPR 2023
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks CVPR 2023
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations ACL 2023
Additive Interventions Yield Robust Multi-Domain Machine Translation Models EMNLP 2022
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem ACL 2022
LITE: Intent-based Task Representation Learning Using Weak Supervision NAACL 2022
Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task Learning NAACL 2022
MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning EMNLP 2022
Association Graph Learning for Multi-Task Classification with Category Shifts NIPS 2022
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach AAAI 2022
Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer CVPR 2022
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning AAAI 2022
Multitask Learning for Low Resource Spoken Language Understanding INTERSPEECH 2022
Joint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization NAACL 2022