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Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities AAAI 2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach AAAI 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System AAAI 2024
Analytically Tractable Models for Decision Making under Present Bias AAAI 2024
Understanding the effects of language-specific class imbalance in multilingual fine-tuning EACL 2024
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting AAAI 2024
Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024
DUTh at SemEval 2024 Task 5: A multi-task learning approach for the Legal Argument Reasoning Task in Civil Procedure SEMEVAL 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints NIPS 2024
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024
Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024
Learning Hybrid Dynamics Models with Simulator-Informed Latent States AAAI 2024
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning AAAI 2024
Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment AAAI 2024
Robust Policy Learning via Offline Skill Diffusion AAAI 2024
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction AAAI 2024
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency AAAI 2024