Summary of Hamiltonian Monte Carlo on Relu Neural Networks Is Inefficient, by Vu C. Dinh et al.
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficientby Vu C. Dinh, Lam Si Tung…
Summary of The Impact Of Inference Acceleration on Bias Of Llms, by Elisabeth Kirsten et al.
The Impact of Inference Acceleration on Bias of LLMsby Elisabeth Kirsten, Ivan Habernal, Vedant Nanda,…
Summary of Efficient and Effective Weight-ensembling Mixture Of Experts For Multi-task Model Merging, by Li Shen et al.
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Mergingby Li Shen, Anke Tang,…
Summary of Gnothi Seauton: Empowering Faithful Self-interpretability in Black-box Transformers, by Shaobo Wang et al.
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformersby Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui…
Summary of On the Robustness Of Adversarial Training Against Uncertainty Attacks, by Emanuele Ledda et al.
On the Robustness of Adversarial Training Against Uncertainty Attacksby Emanuele Ledda, Giovanni Scodeller, Daniele Angioni,…
Summary of Meta-learning For Speeding Up Large Model Inference in Decentralized Environments, by Yuzhe Yang et al.
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environmentsby Yuzhe Yang, Yipeng Du, Ahmad…
Summary of Shadowkv: Kv Cache in Shadows For High-throughput Long-context Llm Inference, by Hanshi Sun et al.
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inferenceby Hanshi Sun, Li-Wen Chang, Wenlei…
Summary of Aiscivision: a Framework For Specializing Large Multimodal Models in Scientific Image Classification, by Brendan Hogan et al.
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classificationby Brendan Hogan, Anmol…
Summary of Trustworthiness Of Stochastic Gradient Descent in Distributed Learning, by Hongyang Li et al.
Trustworthiness of Stochastic Gradient Descent in Distributed Learningby Hongyang Li, Caesar Wu, Mohammed Chadli, Said…
Summary of Self-supervised Learning and Opportunistic Inference For Continuous Monitoring Of Freezing Of Gait in Parkinson’s Disease, by Shovito Barua Soumma et al.
Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson’s Diseaseby…