Learning parameterized quantum circuits with quantum gradient
• Abstract Parameterized quantum circuits (PQCs) are crucial for quantum machine learning and circuit synthesis, enabling the practical implementation of complex quantum tasks • Ho
Learning
Architecture-Agnostic Curriculum Learning for Document Understanding: Empirical Evidence from Text-Only and Multimodal
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ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
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Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks
• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 25 Feb 2026] Title:Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless
Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate Maximization on AI-Native Wireless Networks
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From Logs to Language: Learning Optimal Verbalization for LLM-Based Recommendation in Production
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Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning
• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 24 Feb 2026] Title:Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning
Learning to Rewrite Tool Descriptions for Reliable LLM-Agent Tool Use
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Playsemble: Learning Low-Level Programming Through Interactive Games
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A federated graph learning method to realize multi-party collaboration for molecular discovery
• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •
Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
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Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO
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Learning to Evict from Key-Value Cache
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Serious About Learning Linux? Get 15 O'Reilly Linux and DevOps eBooks for Under $25
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The greatest risk of AI in higher education isn't cheating-it's the erosion of learning itself
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A federated graph learning method to realize multi-party collaboration for molecular discovery
• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •
From the Adafruit Learning System: Easter Egg Light Stand
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MerLin: Framework for Differentiable Photonic Quantum Machine Learning
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Statistics-informed parameterized quantum circuit: towards practical quantum state preparation and learning via maximum entropy principle
• Abstract Quantum computing offers significant potential for tackling complex problems, yet preparing quantum states from real-world data remains a critical challenge. • We introd
Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning
• Computer Science > Machine Learning [Submitted on 19 Feb 2026] Title:Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning View PDF HTML (experimental)Abstrac
DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training
• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 14 Apr 2025 (v1), last revised 19 Feb 2026 (this version, v2)] Title:DeepCompile: A Compiler-Driven
Node Learning: A Framework for Adaptive, Decentralised and Collaborative Network Edge AI
• Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:Node Learning: A Framework for Adaptive, Decentralised and Collaborative Network Edge AI View PDF HTML
Custom IC Design using Additive Learning
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Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
• Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning View PDF HTML (e
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
• Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning View PDF HTML (e
Deep Reinforcement Learning Approach to QoSAware Load Balancing in 5G Cellular Networks under User Mobility and Observation Uncertainty
• Computer Science > Networking and Internet Architecture [Submitted on 28 Oct 2025 (v1), last revised 18 Feb 2026 (this version, v2)] Title:Deep Reinforcement Learning Approach to
Improving Interactive In-Context Learning from Natural Language Feedback
• Computer Science > Artificial Intelligence [Submitted on 17 Feb 2026] Title:Improving Interactive In-Context Learning from Natural Language Feedback View PDF HTML (experimental)A
Improving Interactive In-Context Learning from Natural Language Feedback
• Computer Science > Artificial Intelligence [Submitted on 17 Feb 2026] Title:Improving Interactive In-Context Learning from Natural Language Feedback View PDF HTML (experimental)A
Learning Personalized Agents from Human Feedback
• Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:Learning Personalized Agents from Human Feedback View PDF HTML (experimental)Abstract:Modern AI agents
Learning Personalized Agents from Human Feedback
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SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data
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VerifiableFL: Verifiable Claims for Federated Learning using Exclaves
• Computer Science > Cryptography and Security [Submitted on 13 Dec 2024 (v1), last revised 17 Feb 2026 (this version, v4)] Title:VerifiableFL: Verifiable Claims for Federated Lear
A federated graph learning method to realize multi-party collaboration for molecular discovery
• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •
Machine learning helps solve a central problem of quantum chemistry
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Machine learning algorithm fully reconstructs LHC particle collisions
• The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. • This new approach can reconstruct co
GenAI-LA: Generative AI and Learning Analytics Workshop (LAK 2026), April 27--May 1, 2026, Bergen, Norway
• Computer Science > Artificial Intelligence [Submitted on 17 Feb 2026] Title:GenAI-LA: Generative AI and Learning Analytics Workshop (LAK 2026), April 27–May 1, 2026, Bergen, Nor
GenAI-LA: Generative AI and Learning Analytics Workshop (LAK 2026), April 27--May 1, 2026, Bergen, Norway
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Panini: Continual Learning in Token Space via Structured Memory
• Computer Science > Artificial Intelligence [Submitted on 16 Feb 2026] Title:Panini: Continual Learning in Token Space via Structured Memory View PDF HTML (experimental)Abstract:L
Panini: Continual Learning in Token Space via Structured Memory
• Computer Science > Artificial Intelligence [Submitted on 16 Feb 2026] Title:Panini: Continual Learning in Token Space via Structured Memory View PDF HTML (experimental)Abstract:L
The Learning Loop and LLMs
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Red Hat Learning Subscription Course reimagines virtual training
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Horses with over 30 minutes of REM sleep show better persistence in learning tasks
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Kipu Quantum Launches Rimay for Industrial Quantum-Enhanced Machine Learning
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MAPLE: A Sub-Agent Architecture for Memory, Learning, and Personalization in Agentic AI Systems
• Computer Science > Artificial Intelligence [Submitted on 3 Feb 2026] Title:MAPLE: A Sub-Agent Architecture for Memory, Learning, and Personalization in Agentic AI Systems View PD
MAPLE: A Sub-Agent Architecture for Memory, Learning, and Personalization in Agentic AI Systems
• Computer Science > Artificial Intelligence [Submitted on 3 Feb 2026] Title:MAPLE: A Sub-Agent Architecture for Memory, Learning, and Personalization in Agentic AI Systems View PD
Reverse engineering the Dash learning robot
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LLM-Based Learning Platform For Chip Design Education (RPTU)
• Home Systems & Design Low Power - High Performance Manufacturing, Packaging & Materials Test, Measurement & Analytics Auto, Security & Enabling Technologies Special Reports Busin
Beyond the Dashboard: How Cars Are Learning to Sense Like Humans
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Machine learning to reveal more about LHC particle collisions
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R²D²: Scaling Multimodal Robot Learning with NVIDIA Isaac Lab
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Safer Internet Day: 5 tips for safe, effective learning
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Rethinking imitation learning with Predictive Inverse Dynamics Models
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Meet the New Chainalysis Academy: Where Learning Becomes Mastery
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How a Machine Learning Pipeline Could Accelerate Innovation
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How a Machine Learning Pipeline Could Accelerate Innovation
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Are you learning with AI? We want to know about it!
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Experimenting with Gateway API using kind
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Customizing multiturn AI agents with reinforcement learning
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Agent Lightning: Adding reinforcement learning to AI agents without code rewrites
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Contextual, in-product guidance for every Grafana user: A closer look at Interactive Learning
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