Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscapeby Juno Kim,…
FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shiftingby Jungwon Seo,…
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutionsby Pouya Pezeshkpour, Eser Kandogan, Nikita…
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detectionby Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana,…
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approachby Zhiyuan Yao, Ionut Florescu,…
A Consistent Lebesgue Measure for Multi-label Learningby Kaan Demir, Bach Nguyen, Bing Xue, Mengjie ZhangFirst…
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learningby…
On Prompt-Driven Safeguarding for Large Language Modelsby Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng,…
Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learningby Naresh Kumar,…
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model,…