Cover Image

Advances in Set Function Learning: A Survey of Techniques and Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Jiahao, Tong, Guangmo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning 68T07, 68Q99 I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Backpropagation Through Time For Networks With Long-Term Dependencies
by: Bird, George, et al.
Published: (2021)

On the Origin of Algorithmic Progress in AI
by: Gundlach, Hans, et al.
Published: (2025)

The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
by: Brännvall, Rickard, et al.
Published: (2023)

QGraphLIME - Explaining Quantum Graph Neural Networks
by: Jena, Haribandhu, et al.
Published: (2025)

Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
by: Willard, Jared D., et al.
Published: (2023)

Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
by: Hille, Tobias, et al.
Published: (2024)

From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)

Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols
by: Reitich, Fernando
Published: (2026)

Developing Explainable Machine Learning Model using Augmented Concept Activation Vector
by: Hassanpour, Reza, et al.
Published: (2024)

Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
by: Helli, Kai, et al.
Published: (2024)

IntSeqBERT: Learning Arithmetic Structure in OEIS via Modulo-Spectrum Embeddings
by: Nakasho, Kazuhisa
Published: (2026)

FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
by: Książek, Kamil, et al.
Published: (2025)

Distinguished In Uniform: Self Attention Vs. Virtual Nodes
by: Rosenbluth, Eran, et al.
Published: (2024)

Autoencoders in Function Space
by: Bunker, Justin, et al.
Published: (2024)

An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
by: Saini, Saurabh, et al.
Published: (2026)

MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)

The Domain Mixed Unit: A New Neural Arithmetic Layer
by: Curry, Paul
Published: (2025)

A Constraint-Preserving Neural Network Approach for Solving Mean-Field Games Equilibrium
by: Liu, Jinwei, et al.
Published: (2025)

Tricks and Plug-ins for Gradient Boosting with Transformers
by: Fang, Biyi, et al.
Published: (2025)

Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
by: Duy, Dang Sy, et al.
Published: (2026)

Deep Hedging Under Non-Convexity: Limitations and a Case for AlphaZero
by: Maggiolo, Matteo, et al.
Published: (2025)

Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
by: Jin, Cheng, et al.
Published: (2025)

X-Factor: Quality Is a Dataset-Intrinsic Property
by: Couch, Josiah, et al.
Published: (2025)

Deep learning four decades of human migration
by: Gaskin, Thomas, et al.
Published: (2025)

Your contrastive learning problem is secretly a distribution alignment problem
by: Chen, Zihao, et al.
Published: (2025)

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)

Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
by: Singh, Diyansha
Published: (2026)

Just In Time Transformers
by: Benali, Ahmed Ala Eddine, et al.
Published: (2024)

Graph Transformers: A Survey
by: Shehzad, Ahsan, et al.
Published: (2024)

Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization
by: Li, Yin
Published: (2025)

Ambiguous Online Learning
by: Kosoy, Vanessa
Published: (2025)

Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations
by: Phan, Trung V., et al.
Published: (2025)

Adaptive Discretization in Online Reinforcement Learning
by: Sinclair, Sean R., et al.
Published: (2021)

Motion Diffusion Autoencoders: Enabling Attribute Manipulation in Human Motion Demonstrated on Karate Techniques
by: Richardson, Anthony, et al.
Published: (2025)

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
by: Xu, Zhi-Qin John, et al.
Published: (2019)

A Practical Guide to Streaming Continual Learning
by: Cossu, Andrea, et al.
Published: (2026)

A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
by: Caunhye, Ali Murtaza, et al.
Published: (2025)

Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)

The two clocks and the innovation window: When and how generative models learn rules
by: Wang, Binxu, et al.
Published: (2026)

Enhancing Predictive Accuracy in Tennis: Integrating Fuzzy Logic and CV-GRNN for Dynamic Match Outcome and Player Momentum Analysis
by: Li, Kechen, et al.
Published: (2025)