Summary of Leveraging Distillation Techniques For Document Understanding: a Case Study with Flan-t5, by Marcel Lamott et al.
Leveraging Distillation Techniques for Document Understanding: A Case Study with FLAN-T5by Marcel Lamott, Muhammad Armaghan…
Leveraging Distillation Techniques for Document Understanding: A Case Study with FLAN-T5by Marcel Lamott, Muhammad Armaghan…
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Modelsby Divij Gupta, Anubhav Bhatti,…
Learning Unstable Continuous-Time Stochastic Linear Control Systemsby Reza Sadeghi Hafshejani, Mohamad Kazem Shirani FradonbehFirst submitted…
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programmingby Xiaoran Cheng, Sen NaFirst submitted to arxiv…
Quantum Machine Learning for Semiconductor Fabrication: Modeling GaN HEMT Contact Processby Zeheng Wang, Fangzhou Wang,…
3DFacePolicy: Speech-Driven 3D Facial Animation with Diffusion Policyby Xuanmeng Sha, Liyun Zhang, Tomohiro Mashita, Yuki…
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generationby S. Rohollah Hosseyni, Ali Ahmad Rahmani, S. Jamal…
Implicit Reasoning in Deep Time Series Forecastingby Willa Potosnak, Cristian Challu, Mononito Goswami, Michał Wiliński,…
Machine Learning for Public Good: Predicting Urban Crime Patterns to Enhance Community Safetyby Sia Gupta,…
Dynamic Range Reduction via Branch-and-Boundby Thore Gerlach, Nico PiatkowskiFirst submitted to arxiv on: 17 Sep…