Cover Image

Interpretable Multi-task Learning with Shared Variable Embeddings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Żelaszczyk, Maciej, Mańdziuk, Jacek
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Text-to-Image Cross-Modal Generation: A Systematic Review
by: Żelaszczyk, Maciej, et al.
Published: (2024)

Multi-Label Contrastive Learning for Abstract Visual Reasoning
by: Małkiński, Mikołaj, et al.
Published: (2020)

Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest Performance
by: Kaźmierczak, Stanisław, et al.
Published: (2024)

Modified Adaptive Tree-Structured Parzen Estimator for Hyperparameter Optimization
by: Sieradzki, Szymon, et al.
Published: (2025)

Training chord recognition models on artificially generated audio
by: Majchrzak, Martyna, et al.
Published: (2025)

A Unified View of Abstract Visual Reasoning Problems
by: Małkiński, Mikołaj, et al.
Published: (2024)

A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
by: Małkiński, Mikołaj, et al.
Published: (2024)

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
by: Małkiński, Mikołaj, et al.
Published: (2023)

Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks
by: Małkiński, Mikołaj, et al.
Published: (2025)

Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
by: Małkiński, Mikołaj, et al.
Published: (2022)

Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island Coevolution
by: Żychowski, Adam, et al.
Published: (2024)

ReModels: Quantile Regression Averaging models
by: Zakrzewski, Grzegorz, et al.
Published: (2024)

Representation-based Broad Hallucination Detectors Fail to Generalize Out of Distribution
by: Dubanowska, Zuzanna, et al.
Published: (2025)

Reasoning Limitations of Multimodal Large Language Models. A Case Study of Bongard Problems
by: Małkiński, Mikołaj, et al.
Published: (2024)

Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems
by: Pawlonka, Szymon, et al.
Published: (2025)

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning
by: Bejnordi, Babak Ehteshami, et al.
Published: (2024)

Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning
by: Lee, Gawon, et al.
Published: (2025)

The Impact of Bootstrap Sampling Rate on Random Forest Performance in Regression Tasks
by: Iwaniuk, Michał, et al.
Published: (2025)

Reasoning Capabilities of Large Language Models. Lessons Learned from General Game Playing
by: Świechowski, Maciej, et al.
Published: (2026)

Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings
by: Sui, Yang, et al.
Published: (2025)

Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
by: Lin, Po-Shao, et al.
Published: (2024)

Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion
by: Feng, Xinyue, et al.
Published: (2024)

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
by: Su, Liangcai, et al.
Published: (2023)

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection
by: Qu, Bo, et al.
Published: (2024)

Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
by: Fermanian, Jean-Baptiste, et al.
Published: (2026)

MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
by: Deutsch, Shay, et al.
Published: (2024)

Learning Action Embeddings for Off-Policy Evaluation
by: Cief, Matej, et al.
Published: (2023)

Monotonic Transformation Invariant Multi-task Learning
by: Murthy, Surya, et al.
Published: (2025)

Distributed Networked Multi-task Learning
by: Hong, Lingzhou, et al.
Published: (2024)

Multi-task Online Learning for Probabilistic Load Forecasting
by: Zaballa, Onintze, et al.
Published: (2025)

Characterization of Transfer Using Multi-task Learning Curves
by: Millinghoffer, András, et al.
Published: (2025)

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization
by: Fan, Qingliang, et al.
Published: (2025)

ProPML: Probability Partial Multi-label Learning
by: Struski, Łukasz, et al.
Published: (2024)

Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process
by: Ravi, Sandipp Krishnan, et al.
Published: (2024)

Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks
by: Mitsiou, Nikos A., et al.
Published: (2025)

Adaptive Multi-task Learning for Probabilistic Load Forecasting
by: Zaballa, Onintze, et al.
Published: (2025)

Multi-task Learning for Radar Signal Characterisation
by: Huang, Zi, et al.
Published: (2023)

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
by: Romero, Miguel, et al.
Published: (2025)

ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
by: Marszałek, Patryk, et al.
Published: (2025)

A Large Dimensional Analysis of Multi-task Semi-Supervised Learning
by: Leger, Victor, et al.
Published: (2024)