An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic…
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representationsby Walter Simoncini, Spyros Gidaris, Andrei…
DINO Pre-training for Vision-based End-to-end Autonomous Drivingby Shubham Juneja, Povilas Daniušis, Virginijus MarcinkevičiusFirst submitted to…
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMsby Quang H. Nguyen, Duy C.…
DataDream: Few-shot Guided Dataset Generationby Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep…
Improving Hyperbolic Representations via Gromov-Wasserstein Regularizationby Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad LermanFirst submitted…
Balancing the Scales: Reinforcement Learning for Fair Classificationby Leon Eshuijs, Shihan Wang, Antske FokkensFirst submitted…
Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviewsby…
GeoMix: Towards Geometry-Aware Data Augmentationby Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi YanFirst submitted to…
Omni-Dimensional Frequency Learner for General Time Series Analysisby Xianing Chen, Hanting Chen, Hailin HuFirst submitted…