output
20032026
most citedA Closer Look at Memorization in Deep Networks

353 citations

Showing 2025 · cs.LGShow all

5 papers · 2 filters

cs.LG2025★ 3 cited

AI-Powered Inverse Design of Ku-Band SIW Resonant Structures by Iterative Residual Correction Network

Mohammad Mashayekhi, Kamran Salehian, Abbas Ozgoli +3

Designing high-performance substrate-integrated waveguide (SIW) filters with both closely spaced and widely separated resonances is challenging. Consequently, there is a growing ne…

cs.LG2025★ 10 cited

Blockchain-based Crowdsourced Deep Reinforcement Learning as a Service

Ahmed Alagha, Hadi Otrok, Shakti Singh +2

Deep Reinforcement Learning (DRL) has emerged as a powerful paradigm for solving complex problems. However, its full potential remains inaccessible to a broader audience due to its…

cs.LG2025★ 6 cited

Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning

Ahmed Alagha, Jamal Bentahar, Hadi Otrok +2

Multi-Agent Deep Reinforcement Learning (MDRL) is a promising research area in which agents learn complex behaviors in cooperative or competitive environments. However, MDRL comes…

cs.LG2025★ 7 cited

Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer

Ahmed Alagha, Rabeb Mizouni, Shakti Singh +2

Target localization is a critical task in sensitive applications, where multiple sensing agents communicate and collaborate to identify the target location based on sensor readings…

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…