DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
【拡散モデル勉強会】DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention by more
カテゴリー: seminar
Lory: Fully Differentiable Mixture-of-Experts forAutoregressive Language Model Pre-training
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What Do Language Models Learn in Context? The Structured Task Hypothesis
What Do Language Models Learn in Context? The Structured Task Hypothesis by @DeepLear more
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
【拡散モデル勉強会】CAT3D: Create Anything in 3D with Multi-View Diffusion Models by @DeepLearn more
RoboDreamer: Learning Compositional World Models for Robot Imagination (ICML2024)
【DL輪読会】RoboDreamer: Learning Compositional World Models for Robot Imagination (ICML20 more
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