Summary of Your Classifier Can Be Secretly a Likelihood-based Ood Detector, by Jirayu Burapacheep et al.
Your Classifier Can Be Secretly a Likelihood-Based OOD Detectorby Jirayu Burapacheep, Yixuan LiFirst submitted to…
Summary of Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances, by Lang Zeng et al.
Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidancesby Lang Zeng, Weijing…
Summary of Cost-effective Hallucination Detection For Llms, by Simon Valentin et al.
Cost-Effective Hallucination Detection for LLMsby Simon Valentin, Jinmiao Fu, Gianluca Detommaso, Shaoyuan Xu, Giovanni Zappella,…
Summary of Neural Surrogate Hmc: Accelerated Hamiltonian Monte Carlo with a Neural Network Surrogate Likelihood, by Linnea M Wolniewicz et al.
Neural Surrogate HMC: Accelerated Hamiltonian Monte Carlo with a Neural Network Surrogate Likelihoodby Linnea M…
Summary of A Hypothesis on Black Swan in Unchanging Environments, by Hyunin Lee et al.
A Hypothesis on Black Swan in Unchanging Environmentsby Hyunin Lee, Chanwoo Park, David Abel, Ming…
Summary of The Power Of Combining Data and Knowledge: Gpt-4o Is An Effective Interpreter Of Machine Learning Models in Predicting Lymph Node Metastasis Of Lung Cancer, by Danqing Hu et al.
The Power of Combining Data and Knowledge: GPT-4o is an Effective Interpreter of Machine Learning…
Summary of Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?, by Michael-andrei Panaitescu-liess et al.
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?by Michael-Andrei Panaitescu-Liess,…
Summary of On the Parameter Identifiability Of Partially Observed Linear Causal Models, by Xinshuai Dong and Ignavier Ng and Biwei Huang and Yuewen Sun and Songyao Jin and Roberto Legaspi and Peter Spirtes and Kun Zhang
On the Parameter Identifiability of Partially Observed Linear Causal Modelsby Xinshuai Dong, Ignavier Ng, Biwei…
Summary of Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference, by Jian Xu et al.
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inferenceby Jian…
Summary of Towards Transfer Unlearning: Empirical Evidence Of Cross-domain Bias Mitigation, by Huimin Lu et al.
Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigationby Huimin Lu, Masaru Isonuma, Junichiro Mori,…