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## 0. Paper
- paper: [[link](https://aclanthology.org/2022.tacl-1.53/)]
- TACL2022
## 1. What is it?
They evaluate the temporal effects for downstream tasks.
## 2. What is amazing compared …
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Just as a quick link list, here is a list of ICLR Submissions using the keyword "Domain Adaptation". I guess waiting for the reviews makes sense before including them in the reading list.
# Unsup…
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### Related Issues
- **Parent:** https://github.com/wazuh/wazuh-agent/issues/65
## Description
After the development carried on here https://github.com/wazuh/wazuh-agent/issues/65, many OS de…
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Artificial Intelligence (AI) is a branch of computer science that focuses on building systems or machines capable of performing tasks that typically require human intelligence. These tasks include lea…
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Does this paper of yours look like an improvement on CDDFuse?
The code doesn't seem to have changed much
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Hello,
I am currently working on a domain adaptation project involving image datasets. I have successfully used the ADAPT package and especially DANN implementation in your tutorial, but I am unsure …
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https://arxiv.org/pdf/1702.05464.pdf
Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains. They also can i…
leo-p updated
7 years ago
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**Description/Motivation**
Anomaly prediction can be used to predict an anomaly before it occures. One of the applications is predictive maintenance.
One approach to solve this problem is to combi…
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GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
https://arxiv.org/abs/2410.11841
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**Feature Request: LangGraph Integration for Adaptive Agent Workflows in PufferLib**
**Objective**: Expand PufferLib’s capabilities by integrating LangChain, TRL (Transformers Reinforcement Learnin…