conftrace_

multi-task learning

2,927 papers

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Also known as

MTL

Co-occurring keywords · papers mentioning both

transfer learning (358) representation learning (184) text classification (182) neural network (160) large language model (119) named entity recognition (118) multimodal learning (111) knowledge distillation (105) domain adaptation (103) attention mechanism (91)

Papers

PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding NeurIPS 2024 PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 PERSONA: an application for emotion recognition, gender recognition and age estimation Interspeech 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NeurIPS 2024 PICT at StanceEval2024: Stance Detection in Arabic using Ensemble of Large Language Models ACL 2024 PIGEON: Predicting Image Geolocations CVPR 2024 PoCo: Policy Composition from and for Heterogeneous Robot Learning RSS 2024 Positive and Risky Message Assessment for Music Products COLING 2024 Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads NAACL 2024 Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024 PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers Using Synthetic Scene Data WACV 2024 Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer) EMNLP 2024 PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis SemEval 2024 Quantifying Task Priority for Multi-Task Optimization CVPR 2024 Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning Interspeech 2024 Reference-guided Style-Consistent Content Transfer COLING 2024 Regularized Conditional Diffusion Model for Multi-Task Preference Alignment NeurIPS 2024 Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models ACL 2024 Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach IJCAI 2024 Representation Surgery for Multi-Task Model Merging ICML 2024 Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach COLING 2024 Robust Multi-Task Learning with Excess Risks ICML 2024 RVT-2: Learning Precise Manipulation from Few Demonstrations RSS 2024 Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024 ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale ACL 2024