Cover Image

Machine Learning with a Reject Option: A survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hendrickx, Kilian, Perini, Lorenzo, Van der Plas, Dries, Meert, Wannes, Davis, Jesse
Format:	Preprint
Published:	2021
Subjects:	Machine Learning Artificial Intelligence 68T02 I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Safe Continual Reinforcement Learning Methods for Nonstationary Environments. Towards a Survey of the State of the Art
by: Tomashevskiy, Timofey
Published: (2026)

No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
by: Fokoué, Ernest
Published: (2025)

Tailoring Machine Learning for Process Mining
by: Ceravolo, Paolo, et al.
Published: (2023)

A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation
by: Leyli-Abadi, Milad, et al.
Published: (2026)

Attention-based graph neural networks: a survey
by: Sun, Chengcheng, et al.
Published: (2026)

Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning
by: Meulemans, Alexander, et al.
Published: (2025)

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
by: Smith, Chandler, et al.
Published: (2025)

SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
by: Zhou, Xueyang, et al.
Published: (2025)

Semantic Reward Collapse and the Preservation of Epistemic Integrity in Adaptive AI Systems
by: Parris, William
Published: (2026)

Evaluating Bivariate Causal Statements Based on Mutual Compatibility
by: Jahn, Erik, et al.
Published: (2026)

Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Systematic Review and Practical Design Guidelines
by: Wimalasiri, Chathura
Published: (2026)

Thinking Machines: Mathematical Reasoning in the Age of LLMs
by: Asperti, Andrea, et al.
Published: (2025)

SALT-KG: A Benchmark for Semantics-Aware Learning on Enterprise Tables
by: Mulang, Isaiah Onando, et al.
Published: (2026)

Communicative Agents for Slideshow Storytelling Video Generation based on LLMs
by: Fan, Jingxing, et al.
Published: (2025)

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)

From Noise to Diversity: Random Embedding Injection in LLM Reasoning
by: Kim, Heejun, et al.
Published: (2026)

Learning Through Noise: Why Subliminal Learning Works and When It Fails
by: Brockers, Vincent C., et al.
Published: (2026)

Simple Network Graph Comparative Learning
by: Yu, Qiang, et al.
Published: (2026)

GLL: A Differentiable Graph Learning Layer for Neural Networks
by: Brown, Jason, et al.
Published: (2024)

Upside Down Reinforcement Learning with Policy Generators
by: Di Ventura, Jacopo, et al.
Published: (2025)

Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
by: Rácz, Dániel, et al.
Published: (2024)

Memory-efficient Continual Learning with Prototypical Exemplar Condensation
by: Nguyen, Minh-Duong, et al.
Published: (2026)

HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
by: Książek, Kamil, et al.
Published: (2023)

CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization
by: Chowdhury, Jawad, et al.
Published: (2024)

Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning
by: Filus, Katarzyna, et al.
Published: (2026)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
by: Ricciardi, Antonio Pio, et al.
Published: (2025)

Dynamic Dual-Granularity Skill Bank for Agentic RL
by: Tu, Songjun, et al.
Published: (2026)

NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
by: Tang, Zhengzheng
Published: (2026)

SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
by: Vincze, Mátyás, et al.
Published: (2024)

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness
by: Jagatheesaperumal, Senthil Kumar, et al.
Published: (2024)

Harnessing non-adversarial robustness in large language models
by: Zhou, Qinghua, et al.
Published: (2026)

Quantifying First-Order Markov Violations in Noisy Reinforcement Learning: A Causal Discovery Approach
by: Mysore, Naveen
Published: (2025)

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

Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)

Autonomous Multi-Robot Infrastructure for AI-Enabled Healthcare Delivery and Diagnostics
by: Kalaivanan, Nakhul, et al.
Published: (2025)

Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
by: Turan, Berkant, et al.
Published: (2025)

Dynamical Priors as a Training Objective in Reinforcement Learning
by: Subaharan, Sukesh
Published: (2026)

Predicting Music Track Popularity by Convolutional Neural Networks on Spotify Features and Spectrogram of Audio Waveform
by: Falah, Navid, et al.
Published: (2025)

MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
by: Zamaraeva, Elena, et al.
Published: (2025)

Towards Ontology-Enhanced Representation Learning for Large Language Models
by: Ronzano, Francesco, et al.
Published: (2024)