2025 ICASSP 3D Model NeRF-3DTalker: Neural Radiance Field with 3D Prior Aided Audio Disentanglement for Talking Head Synthesis Code 2025 AAAI VQ-VAE DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation - 2025 AAAI Diffusion GoHD: Gaze-oriented and Highly Disentangled...
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Zirui Zhao, Wee Sun Lee, David Hsu Key: LLM-MCTS ExpEnv: VirtualHome Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji...
As previously described, we used hierarchical expectation maximization to fit the models48. Using this method, individual parameters and the group distributions of the parameters are estimated iteratively, so that at each iteration, the current group-level distributions are used as priors for individual...
A methodological application of a time-discrete version of the kinetic-theoretic language to interactions between random variables. J. Math. Phys. 2023. submitted. [Google Scholar] Bellomo, N.; Degond, P.; Tadmor, E. (Eds.) Active Particles, Volume 1: Advances in Theory, Models, and ...
This method models probabilistic consequences and produces a Bayesian model of expert evaluations [37]. However, the model’s construction is quite involved and requires expert knowledge on the part of the analyst and specialized input from the decision maker [38]. TOPSIS defines a theoretical ...
Learn Many Models, Not Just One 学习多种模型,而不仅仅是一种 Simplicity Does Not Imply Accuracy 简易性不准确 Representable Does Not Imply Learnable 有代表性的不容易学习 Essentially all representations used in variable-size learners have associated theorems of the form “Every function can be represen...
A Neural Probabilistic Language Model 第一位Yoshua 是DL技术的奠基人之一, 加拿大 魁北克的蒙特利尔大学。 本文于2003年第一次用神经网络来解决语言模型的问题,也较早提出将word表示为一个低秩向量,而不是one-hot。 论文解读纸质版的懒得敲上来了,引用另外一位作者霍姆格雷特的笔记。... ...
Neural modelsCentrality measuresIn this paper, we present PRIN, a probabilistic collaborative filtering approach for top-N recommendation. Our proposal relies on continuous bag-of-words (CBOW) neural model. This fully connected feedforward network takes as input the item profile and produces as ...
Probabilistic Models Core Optimization Representation Learning Understanding and Transfer Learning Reinforcement Learning Applications Image Recognition Object Recognition Action Recognition Caption Generation Natural Language Processing Speech Technology Datasets Image General Face Object Recognition Action recognition Text...
导读:NLP,让人与机器的交互不再遥远;深度学习,让语言解析不再是智能系统的瓶颈。本文尝试回顾NLP发展的历史,解读NLP升级迭代过程中一些重要而有意思的模型,总结不同任务场景应用模型的思路,对NLP未来发展趋势发表自己的看法。 1 背景 自然语言处理(英语:Natural Language Process,简称NLP)是计算机科学、信息工程以及人工...