Summary of Do Parameters Reveal More Than Loss For Membership Inference?, by Anshuman Suri et al.
Do Parameters Reveal More than Loss for Membership Inference?by Anshuman Suri, Xiao Zhang, David EvansFirst…
Summary of Fullcert: Deterministic End-to-end Certification For Training and Inference Of Neural Networks, by Tobias Lorenz et al.
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networksby Tobias Lorenz, Marta Kwiatkowska,…
Summary of Words in Motion: Extracting Interpretable Control Vectors For Motion Transformers, by Omer Sahin Tas and Royden Wagner
Words in Motion: Extracting Interpretable Control Vectors for Motion Transformersby Omer Sahin Tas, Royden WagnerFirst…
Summary of Blob: Bayesian Low-rank Adaptation by Backpropagation For Large Language Models, By Yibin Wang et al.
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Modelsby Yibin Wang, Haizhou Shi, Ligong…
Summary of Distpred: a Distribution-free Probabilistic Inference Method For Regression and Forecasting, by Daojun Liang et al.
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecastingby Daojun Liang, Haixia Zhang, Dongfeng…
Summary of Learning Iterative Reasoning Through Energy Diffusion, by Yilun Du et al.
Learning Iterative Reasoning through Energy Diffusionby Yilun Du, Jiayuan Mao, Joshua B. TenenbaumFirst submitted to…
Summary of Qtip: Quantization with Trellises and Incoherence Processing, by Albert Tseng et al.
QTIP: Quantization with Trellises and Incoherence Processingby Albert Tseng, Qingyao Sun, David Hou, Christopher De…
Summary of Rwku: Benchmarking Real-world Knowledge Unlearning For Large Language Models, by Zhuoran Jin et al.
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Modelsby Zhuoran Jin, Pengfei Cao, Chenhao Wang,…
Summary of New Solutions on Llm Acceleration, Optimization, and Application, by Yingbing Huang et al.
New Solutions on LLM Acceleration, Optimization, and Applicationby Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye,…
Summary of Quest: Query-aware Sparsity For Efficient Long-context Llm Inference, by Jiaming Tang et al.
Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inferenceby Jiaming Tang, Yilong Zhao, Kan Zhu, Guangxuan…