“COSMOS POLICY: FINE-TUNING VIDEO MODELS FOR VISUOMOTOR CONTROL AND PLANNING”
【DL輪読会】"COSMOS POLICY: FINE-TUNING VIDEO MODELS FOR VISUOMOTOR CONTROL AND PLANN more
投稿者: risa.murata
AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model’s Quantization
【DL輪読会】AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model's Qu more
Self-Adapting Language Models(SEAL)
【DL輪読会】Self-Adapting Language Models(SEAL) by @DeepLearning2023
Dreamer 4: Training Agents Inside of Scalable World Models
【Diffusion勉強会】Dreamer 4: Training Agents Inside of Scalable World Models by @DeepLear more
“ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS”
【DL輪読会】"ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS" by more
Next-Latent Prediction Transformers Learn Compact World Models
【DL輪読会】Next-Latent Prediction Transformers Learn Compact World Models by @DeepLearnin more
Training-Free Activation Sparsity in Large Language Models
【DL輪読会】Training-Free Activation Sparsity in Large Language Models by @DeepLearning202 more
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
【diffusion勉強会】LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning by @DeepLearni more
Mixture of Contexts for Long Video Generation
【DL輪読会】Mixture of Contexts for Long Video Generation by @DeepLearning2023
World-in-World: World Models in a Closed-Loop World
【DL輪読会】World-in-World: World Models in a Closed-Loop World by @DeepLearning2023