Summary of Model Editing For Distribution Shifts in Uranium Oxide Morphological Analysis, by Davis Brown et al.
Model editing for distribution shifts in uranium oxide morphological analysisby Davis Brown, Cody Nizinski, Madelyn…
Summary of Longvideobench: a Benchmark For Long-context Interleaved Video-language Understanding, by Haoning Wu et al.
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understandingby Haoning Wu, Dongxu Li, Bei Chen, Junnan…
Summary of Conditional Language Policy: a General Framework For Steerable Multi-objective Finetuning, by Kaiwen Wang et al.
Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuningby Kaiwen Wang, Rahul Kidambi, Ryan…
Summary of Weak-to-strong Compositional Learning From Generative Models For Language-based Object Detection, by Kwanyong Park et al.
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detectionby Kwanyong Park, Kuniaki Saito, Donghyun…
Summary of U-learning For Prediction Inference Via Combinatory Multi-subsampling: with Applications to Lasso and Neural Networks, by Zhe Fei et al.
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networksby Zhe…
Summary of Fever Detection with Infrared Thermography: Enhancing Accuracy Through Machine Learning Techniques, by Parsa Razmara et al.
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniquesby Parsa Razmara, Tina Khezresmaeilzadeh,…
Summary of Poisoning with a Pill: Circumventing Detection in Federated Learning, by Hanxi Guo et al.
Poisoning with A Pill: Circumventing Detection in Federated Learningby Hanxi Guo, Hao Wang, Tao Song,…
Summary of Llmexplainer: Large Language Model Based Bayesian Inference For Graph Explanation Generation, by Jiaxing Zhang et al.
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generationby Jiaxing Zhang, Jiayi Liu,…
Summary of Tackling Selfish Clients in Federated Learning, by Andrea Augello et al.
Tackling Selfish Clients in Federated Learningby Andrea Augello, Ashish Gupta, Giuseppe Lo Re, Sajal K.…
Summary of Weights Shuffling For Improving Dpsgd in Transformer-based Models, by Jungang Yang and Zhe Ji and Liyao Xiang
Weights Shuffling for Improving DPSGD in Transformer-based Modelsby Jungang Yang, Zhe Ji, Liyao XiangFirst submitted…