Summary of Tsds: Data Selection For Task-specific Model Finetuning, by Zifan Liu et al.
TSDS: Data Selection for Task-Specific Model Finetuningby Zifan Liu, Amin Karbasi, Theodoros RekatsinasFirst submitted to…
Summary of Qspec: Speculative Decoding with Complementary Quantization Schemes, by Juntao Zhao et al.
QSpec: Speculative Decoding with Complementary Quantization Schemesby Juntao Zhao, Wenhao Lu, Sheng Wang, Lingpeng Kong,…
Summary of Towards Differentiable Multilevel Optimization: a Gradient-based Approach, by Yuntian Gu and Xuzheng Chen
Towards Differentiable Multilevel Optimization: A Gradient-Based Approachby Yuntian Gu, Xuzheng ChenFirst submitted to arxiv on:…
Summary of Interpretability As Compression: Reconsidering Sae Explanations Of Neural Activations with Mdl-saes, by Kola Ayonrinde et al.
Interpretability as Compression: Reconsidering SAE Explanations of Neural Activations with MDL-SAEsby Kola Ayonrinde, Michael T.…
Summary of Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets, by Jinyu Liu et al.
Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Marketsby Jinyu Liu, Hongye Guo,…
Summary of Position: On-premises Llm Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentiality, by Hanbo Huang et al.
Position: On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentialityby Hanbo…
Summary of Neural Symbolic Regression Of Complex Network Dynamics, by Haiquan Qiu et al.
Neural Symbolic Regression of Complex Network Dynamicsby Haiquan Qiu, Shuzhi Liu, Quanming YaoFirst submitted to…
Summary of Fast Second-order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition, by Dongxie Wen et al.
Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decompositionby Dongxie Wen, Xiao Zhang,…
Summary of Splitsee: a Splittable Self-supervised Framework For Single-channel Eeg Representation Learning, by Rikuto Kotoge et al.
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learningby Rikuto Kotoge, Zheng Chen, Tasuku…
Summary of Rethinking Graph Transformer Architecture Design For Node Classification, by Jiajun Zhou et al.
Rethinking Graph Transformer Architecture Design for Node Classificationby Jiajun Zhou, Xuanze Chen, Chenxuan Xie, Yu…