The goal is to create personalized talking faces that retain the distinct features of the original subject, enabling applications in personalized media and communication. Overall, the interconnectedness among these papers highlights a trend towards achieving higher realism, efficiency, and customization in ...
🔑 Key: [framework], [reinforcement learning], [grounded language agent], [Flan-T5], [unsupervised domain adaptation] 📖 TLDR: This paper introduces GLAINTEL, a grounded language agent framework designed to enhance web interaction using instruction-finetuned language models, particularly Flan-T5...
Session: Oral 1.4C — Transfer/Low-Shot/Semi/Unsupervised Learning (1) Poster #Video Time 1Video Time 2Paper TitleAuthor(s)Paper ID 18 16:00 04:00 Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sung...
In the case of regression, the goal is to predict new data based on a specific real value, rather than a category. What are the main classification models? There are many supervised learning algorithms based on classification. We have compiled the main ones in this non-exhaustive list.* ...
Reinforcement learning (RL) is a branch of machine learning which aims at making the agent learn an effective policy to achieve the goal through the interaction with the environment. RL is different from the supervised or unsupervised learning because the agent is not told the ”right” action ...
Condition monitoring and fault diagnosis of main bearings of large﹕cale wind turbines is critical for improving its reliability and reducing operating and maintenance costs, especially in the early stages. To achieve the goal, this paper proposes a novel deep learning approach named stacked sparse ...
The most successful zero-shot learning approaches currently require a particular type 3 of auxiliary information namely attribute annotations performed by humans that is not readily available for most classes. Our goal is to circumvent this bottleneck by substituting such annotations by extracting multiple...
Graves’ disease (GD) is an autoimmune disorder that causes the overproduction of thyroid hormones and consequent cascade of systemic metabolism dysfunction. Moreover, Graves’ ophthalmopathy (GO) is the main extrathyroidal manifestation of Graves’ disease (GD). The goal of the study was to ident...
先进算法:GaLore、BAdam、APOLLO、Adam-mini、DoRA、LongLoRA、LLaMA Pro、Mixture-of-Depths、LoRA+、LoftQ 和 PiSSA。 实用技巧:FlashAttention-2、Unsloth、Liger Kernel、RoPE scaling、NEFTune 和 rsLoRA。 广泛任务:多轮对话、工具调用、图像理解、视觉定位、视频识别和语音理解等等。
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