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Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

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Showing 751–800 of 3687 papers

TitleStatusHype
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective—0
Tint Your Models Task-wise for Improved Multi-task Model MergingCode0
Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features—0
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks—0
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression RecognitionCode0
Heterogeneous transfer learning for high dimensional regression with feature mismatch—0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt—0
Data-Driven Fairness Generalization for Deepfake Detection—0
Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage ModelCode0
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling—0
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning—0
Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning—0
Multi-task Representation Learning for Mixed Integer Linear ProgrammingCode0
Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection—0
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models—0
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods—0
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps—0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective OptimizationCode0
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning—0
WiFo: Wireless Foundation Model for Channel Prediction—0
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning—0
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning—0
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AICode0
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning—0
Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models—0
ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising—0
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism—0
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks—0
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances—0
Large Language Models for Ingredient Substitution in Food Recipes using Supervised Fine-tuning and Direct Preference OptimizationCode0
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents—0
MT3DNet: Multi-Task learning Network for 3D Surgical Scene Reconstruction—0
Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis—0
Optimizing Dense Visual Predictions Through Multi-Task Coherence and PrioritizationCode0
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis—0
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art—0
PROFIT: A Specialized Optimizer for Deep Fine Tuning—0
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis—0
Reverse Thinking Makes LLMs Stronger Reasoners—0
Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective—0
Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy—0
Task Arithmetic Through The Lens Of One-Shot Federated Learning—0
Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics—0
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements—0
MUNBa: Machine Unlearning via Nash BargainingCode0
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation—0
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach—0
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All datasetsQM9Cityscapes testNYUv2OMNIGLOTCelebAUTKFacewireframe dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7—Unverified
2CAGrad∆m%112.8—Unverified
3IMTL-G∆m%77.2—Unverified
4Nash-MTL∆m%62—Unverified
5BayesAgg-MTL∆m%53.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41—Unverified
2Nash-MTLmIoU75.41—Unverified
3MultiObjectiveOptimizationmIoU66.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14—Unverified
2Nash-MTLMean IoU40.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52—Unverified
2Mixture-of-ExpertsAverage Accuracy92.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3—Unverified