This repository includes a summary of Machine Learning papers to read under 5 min. One paper added each week.
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-ImageDiffusion Models - Paper Link
Monitoring and explainability of models in production - Paper Link
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation - Paper Link
FateZero: Fusing Attentions for Zero-shot Text-based Video Editing - Paper Link
Composer: Creative and Controllable Image Synthesis with Composable Conditions - Paper Link
Cut and Learn for Unsupervised Object Detection and Instance Segmentation - Paper Link
DiffusionDet: Diffusion Model for Object Detection - Paper Link
Scalable Diffusion Models with Transformers - Paper Link
DiffusionInst: Diffusion Model for Instance Segmentation - Paper Link
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models - Paper Link
TimeVAE: A Variational Auto-Encoder For Multivariate Time Series Generation - Paper Link
MusicLM: Generating Music From Text - Paper Link
Dropout Reduces Underfitting - Paper Link
Rethinking Mobile Block for Efficient Neural Models - Paper Link
Dynamically Expandable Representation for Class Incremental Learning - Paper Link
Deep Differentiable Logic Gate Networks - Paper Link
If you want to add your summarization to papers you read, feel free to Pull Request.
Make sure you modify this read me file to point to your summarization file.
Feel free to reach out.