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Deep Learning JP

@DeepLearning2023

deep learning @deep learning jp dee

DL輪読会資料

このユーザのスライド一覧

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【DL輪読会】WorldMark: A Unified Benchmark Suite for Interactive Video World Models
user-img Deep Learning JP 397
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【DL輪読会】Latent Visual Reasoning
user-img Deep Learning JP 1.2K
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【DL輪読会】LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
user-img Deep Learning JP 5.6K
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【DL輪読会】PlayWorld: Learning Robot World Models from Autonomous Play
user-img Deep Learning JP 1.1K
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【DL輪読会】π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
user-img Deep Learning JP 2.5K
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【DL輪読会】SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
user-img Deep Learning JP 689
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【DL輪読会】Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication
user-img Deep Learning JP 0.9K
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【DL輪読会】Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
user-img Deep Learning JP 872
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【Diffusion勉強会】World Action Models
user-img Deep Learning JP 5K
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【DL輪読会】Seeing without Pixels: Perception from Camera Trajectories, CVPR 2026
user-img Deep Learning JP 625
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【DL輪読会】Learning a Thousand Tasks in a Day
user-img Deep Learning JP 188
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【DL輪読会】Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
user-img Deep Learning JP 1.6K
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【DL輪読会】Building a Multiplayer Video World Model in Minecraft
user-img Deep Learning JP 551
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【DL輪読会】A Step Toward World Models: A Survey on Robotic Manipulation
user-img Deep Learning JP 1.7K
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【DL輪読会】Who Reasons in the Large Language Models？
user-img Deep Learning JP 1.2K
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【Diffusion勉強会】Unified Latents
user-img Deep Learning JP 1.6K
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【DL輪読会】Synthetic continued pretraining
user-img Deep Learning JP 1.5K
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【DL輪読会】Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
user-img Deep Learning JP 1.1K
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【DL輪読会】DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
user-img Deep Learning JP 2.9K
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【DL輪読会】"Ctrl-World: A Controllable Generative World Model for Robot Manipulation"
user-img Deep Learning JP 734
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【DL輪読会】"COSMOS POLICY: FINE-TUNING VIDEO MODELS FOR VISUOMOTOR CONTROL AND PLANNING"
user-img Deep Learning JP 2.5K
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【DL輪読会】AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization
user-img Deep Learning JP 590
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【DL輪読会】Ctrl-World: A Controllable Generative World Model for Robot Manipulation
user-img Deep Learning JP 134
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【輪読会】QVLA: Not All Channels Are Equal in Vision-Language-Action Model’s Quantization
user-img Deep Learning JP 115

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