Do Differentiable Simulators Give Better Policy Gradients?
【DL輪読会】 Do Differentiable Simulators Give Better Policy Gradients? by @DeepLearning20 more
カテゴリー: papers
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
【DL輪読会】DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantize more
1 RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization (ACL 2024) + An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models (2024)
【DL輪読会】RomanSetu: Efficiently unlocking multilingual capabilities of Large Language M more
Denoising Diffusion Bridge Models
【DL輪読会】Denoising Diffusion Bridge Models by @DeepLearning2023
Classifier-Free Guidance is a Predictor-Corrector
【DL輪読会】Classifier-Free Guidance is a Predictor-Corrector by @DeepLearning2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
【拡散モデル勉強会】Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models more
Foundation Models for 3D Scene Understanding
Foundation Models for 3D Scene Understanding by @DeepLearning2023
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
Lory: Fully Differentiable Mixture-of-Experts forAutoregressive Language Model Pre-training
Lory Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-tr more
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