RoboDreamer: Learning Compositional World Models for Robot Imagination (ICML2024)
【DL輪読会】RoboDreamer: Learning Compositional World Models for Robot Imagination (ICML20 more
カテゴリー: dls-2024
Behavior Generation with Latent Actions
【DL輪読会】Behavior Generation with Latent Actions by @DeepLearning2023
On the Societal Impact of Open Foundation Models
【DL輪読会】On the Societal Impact of Open Foundation Models by @DeepLearning2023
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
【DL輪読会】Learning Reward for Robot Skills Using Large Language Models via Self-Alignmen more
AI for Social Good 実データの性質を設定にした研究
【DL輪読会】夏のICML読み会：AI for Social Good 実データの性質を設定にした研究 by @DeepLearning2023
Using Left and Right Brains Together: Towards Vision and Language Planning
DL輪読会Using Left and Right Brains Together: Towards Vision and Language Planning by @D more
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
【DL輪読会】Slot Abstractors: Toward Scalable Abstract Visual Reasoning by @DeepLearning20 more
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
（DL輪読会）Position: An Inner Interpretability Framework for AI Inspired by Lessons from more
DiJiang: Efficient Large Language Models through Compact Kernelization
【DL輪読会】DiJiang: Efficient Large Language Models through Compact Kernelization by @Dee more
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
【DL輪読会】Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced more