Industry
UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene Jiaming Gu
Neural Radiance Field (NeRF) is an implicit 3D reconstruction method that has shown immense potential and has gained significant attention for its ability to reconstruct 3D scenes solely from a set of photographs.
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
Fine-tuning pre-trained models is a popular approach in machine learning for solving complex tasks with moderate data.
realSEUDO for real-time calcium imaging analysis
One challenging modality for real-time processing is multi-photon calcium imaging (CI).
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
Recent explosion of reinforcement learning in financial trading (RLFT) research has shown stellar performance on many quantitative trading tasks.
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM
However, current Vid-LLMs struggle to simultaneously retain high-quality frame-level semantic information ( i.e., a sufficient
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
The second step is reward modeling, which is the origin of the name "reward-based".
