Summary of Learning the Optimal Path and Dnn Partition For Collaborative Edge Inference, by Yin Huang et al.
Learning the Optimal Path and DNN Partition for Collaborative Edge Inferenceby Yin Huang, Letian Zhang,…
Summary of Neat: Nonlinear Parameter-efficient Adaptation Of Pre-trained Models, by Yibo Zhong et al.
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Modelsby Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada,…
Summary of Conformal Prediction Sets Can Cause Disparate Impact, by Jesse C. Cresswell et al.
Conformal Prediction Sets Can Cause Disparate Impactby Jesse C. Cresswell, Bhargava Kumar, Yi Sui, Mouloud…
Summary of Vineppo: Unlocking Rl Potential For Llm Reasoning Through Refined Credit Assignment, by Amirhossein Kazemnejad et al.
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignmentby Amirhossein Kazemnejad, Milad Aghajohari,…
Summary of Phi-s: Distribution Balancing For Label-free Multi-teacher Distillation, by Mike Ranzinger et al.
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillationby Mike Ranzinger, Jon Barker, Greg Heinrich, Pavlo Molchanov,…
Summary of Positional Attention: Expressivity and Learnability Of Algorithmic Computation, by Artur Back De Luca et al.
Positional Attention: Expressivity and Learnability of Algorithmic Computationby Artur Back de Luca, George Giapitzakis, Shenghao…
Summary of Uncertainty Quantification with Bayesian Higher Order Relu Kans, by James Giroux et al.
Uncertainty Quantification with Bayesian Higher Order ReLU KANsby James Giroux, Cristiano FanelliFirst submitted to arxiv…
Summary of Morel: Enhancing Adversarial Robustness Through Multi-objective Representation Learning, by Sedjro Salomon Hotegni et al.
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learningby Sedjro Salomon Hotegni, Sebastian PeitzFirst submitted to…
Summary of Sable: a Performant, Efficient and Scalable Sequence Model For Marl, by Omayma Mahjoub et al.
Sable: a Performant, Efficient and Scalable Sequence Model for MARLby Omayma Mahjoub, Sasha Abramowitz, Ruan…
Summary of Meta-ttt: a Meta-learning Minimax Framework For Test-time Training, by Chen Tao et al.
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Trainingby Chen Tao, Li Shen, Soumik MondalFirst submitted…