Summary of Supervised Fine-tuning As Inverse Reinforcement Learning, by Hao Sun
Supervised Fine-Tuning as Inverse Reinforcement Learningby Hao SunFirst submitted to arxiv on: 18 Mar 2024CategoriesMain:…
Summary of Vfusion3d: Learning Scalable 3d Generative Models From Video Diffusion Models, by Junlin Han et al.
VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Modelsby Junlin Han, Filippos Kokkinos, Philip…
Summary of One-step Image Translation with Text-to-image Models, by Gaurav Parmar et al.
One-Step Image Translation with Text-to-Image Modelsby Gaurav Parmar, Taesung Park, Srinivasa Narasimhan, Jun-Yan ZhuFirst submitted…
Summary of Superlora: Parameter-efficient Unified Adaptation Of Multi-layer Attention Modules, by Xiangyu Chen et al.
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modulesby Xiangyu Chen, Jing Liu, Ye Wang, Pu…
Summary of Linguacodus: a Synergistic Framework For Transformative Code Generation in Machine Learning Pipelines, by Ekaterina Trofimova et al.
Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelinesby Ekaterina Trofimova, Emil…
Summary of Jora: Jax Tensor-parallel Lora Library For Retrieval Augmented Fine-tuning, by Anique Tahir et al.
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuningby Anique Tahir, Lu Cheng, Huan LiuFirst…
Summary of Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-image Encoders, by Andrew Geng et al.
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encodersby Andrew Geng, Pin-Yu ChenFirst submitted…
Summary of Enhancing Out-of-distribution Detection with Multitesting-based Layer-wise Feature Fusion, by Jiawei Li et al.
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusionby Jiawei Li, Sitong Li, Shanshan Wang, Yicheng…
Summary of Parameter Efficient Reinforcement Learning From Human Feedback, by Hakim Sidahmed and Samrat Phatale and Alex Hutcheson and Zhuonan Lin and Zhang Chen and Zac Yu and Jarvis Jin and Simral Chaudhary and Roman Komarytsia and Christiane Ahlheim and Yonghao Zhu and Bowen Li and Saravanan Ganesh and Bill Byrne and Jessica Hoffmann and Hassan Mansoor and Wei Li and Abhinav Rastogi and Lucas Dixon
Parameter Efficient Reinforcement Learning from Human Feedbackby Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin,…
Summary of Mope: Mixture Of Prompt Experts For Parameter-efficient and Scalable Multimodal Fusion, by Ruixiang Jiang et al.
MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusionby Ruixiang Jiang, Lingbo Liu,…