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Multi-Task Learning

2,582 papers

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Papers

Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024
GLDL: Graph Label Distribution Learning AAAI 2024
Robust Policy Learning via Offline Skill Diffusion AAAI 2024
Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach AAAI 2024
NodeMixup: Tackling Under-Reaching for Graph Neural Networks AAAI 2024
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems AAAI 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP AAAI 2024
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions AAAI 2024
Multi-Level Cross-Modal Alignment for Image Clustering AAAI 2024
LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities AAAI 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024
A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification AAAI 2024
Amalgamating Multi-Task Models with Heterogeneous Architectures AAAI 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability AAAI 2024
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts AAAI 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024
Reliable Conflictive Multi-View Learning AAAI 2024