Summary of Text-guided Image Clustering, by Andreas Stephan et al.
Text-Guided Image Clusteringby Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia…
Summary of Careful with That Scalpel: Improving Gradient Surgery with An Ema, by Yu-guan Hsieh et al.
Careful with that Scalpel: Improving Gradient Surgery with an EMAby Yu-Guan Hsieh, James Thornton, Eugene…
Summary of On the Development Of a Practical Bayesian Optimisation Algorithm For Expensive Experiments and Simulations with Changing Environmental Conditions, by Mike Diessner et al.
On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with…
Summary of State Estimation Of Urban Air Pollution with Statistical, Physical, and Super-learning Graph Models, by Matthieu Dolbeault et al.
State estimation of urban air pollution with statistical, physical, and super-learning graph modelsby Matthieu Dolbeault,…
Summary of Joint Attention-guided Feature Fusion Network For Saliency Detection Of Surface Defects, by Xiaoheng Jiang et al.
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defectsby Xiaoheng Jiang, Feng Yan,…
Summary of Graph-enhanced Large Language Models in Asynchronous Plan Reasoning, by Fangru Lin et al.
Graph-enhanced Large Language Models in Asynchronous Plan Reasoningby Fangru Lin, Emanuele La Malfa, Valentin Hofmann,…
Summary of Ks-lottery: Finding Certified Lottery Tickets For Multilingual Language Models, by Fei Yuan et al.
KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Modelsby Fei Yuan, Chang Ma, Shuai Yuan,…
Summary of Bayes-optimal Fair Classification with Linear Disparity Constraints Via Pre-, In-, and Post-processing, by Xianli Zeng et al.
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processingby Xianli Zeng, Guang…
Summary of Revisiting Vae For Unsupervised Time Series Anomaly Detection: a Frequency Perspective, by Zexin Wang et al.
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspectiveby Zexin Wang, Changhua Pei,…
Summary of Evading Data Contamination Detection For Language Models Is (too) Easy, by Jasper Dekoninck et al.
Evading Data Contamination Detection for Language Models is (too) Easyby Jasper Dekoninck, Mark Niklas Müller,…