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12.2 MB
Book: Algorithms for Decision Making
Authors: Mykel J. Kochenderfer ,Tim A. Wheeler
,Kyle H. Wray
ISBN: Null
year: 2022
pages: 700
Tags:#Decision making
@Machine_learn
Authors: Mykel J. Kochenderfer ,Tim A. Wheeler
,Kyle H. Wray
ISBN: Null
year: 2022
pages: 700
Tags:#Decision making
@Machine_learn
CSMeD: Citation Screening Meta-Dataset for systematic review automation evaluation
🖥 Github: https://github.com/wojciechkusa/systematic-review-datasets
📕 Paper: https://arxiv.org/pdf/2311.12474v1.pdf
✨ Tasks: https://paperswithcode.com/task/question-answering
🔥Datasets: https://paperswithcode.com/dataset/blurb
@Machine_learn
🖥 Github: https://github.com/wojciechkusa/systematic-review-datasets
📕 Paper: https://arxiv.org/pdf/2311.12474v1.pdf
✨ Tasks: https://paperswithcode.com/task/question-answering
🔥Datasets: https://paperswithcode.com/dataset/blurb
@Machine_learn
🔥 Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models.
🖥 Code: https://github.com/archerfmy/sd-t2i-360panoimage
📚 Paper: https://arxiv.org/abs/2311.13141v1
🔗 Dataset: https://paperswithcode.com/dataset/sun360
@Machine_learn
🖥 Code: https://github.com/archerfmy/sd-t2i-360panoimage
📚 Paper: https://arxiv.org/abs/2311.13141v1
🔗 Dataset: https://paperswithcode.com/dataset/sun360
@Machine_learn
Probabilistic-Forecast-Reconciliation-with-DL
🖥 Github: https://github.com/guanyu0316/Probabilistic-Forecast-Reconciliation-with-DL
📕 Paper: https://arxiv.org/pdf/2311.12279v1.pdf
✨ Tasks: https://paperswithcode.com/task/time-series-1
@Machine_learn
🖥 Github: https://github.com/guanyu0316/Probabilistic-Forecast-Reconciliation-with-DL
📕 Paper: https://arxiv.org/pdf/2311.12279v1.pdf
✨ Tasks: https://paperswithcode.com/task/time-series-1
@Machine_learn
♟ ChessVision - A dataset for logically coherent multi-label classification.
🖥 Github: https://github.com/espressovi/chessvisionchallenge
📕 Paper: https://arxiv.org/abs/2311.12610
🔥Datasets: https://zenodo.org/records/8278015
@Machine_learn
🖥 Github: https://github.com/espressovi/chessvisionchallenge
📕 Paper: https://arxiv.org/abs/2311.12610
🔥Datasets: https://zenodo.org/records/8278015
@Machine_learn
Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis
📕 Paper: https://www.mdpi.com/2227-7080/11/6/167
🔥 Dataset: https://www.kaggle.com/code/rinichristy/customer-churn-prediction-2020
@Machine_learn
📕 Paper: https://www.mdpi.com/2227-7080/11/6/167
🔥 Dataset: https://www.kaggle.com/code/rinichristy/customer-churn-prediction-2020
@Machine_learn
BatchER
🖥 Github: https://github.com/fmh1art/batcher
📕 Paper: https://arxiv.org/pdf/2312.03987v1.pdf
✨ Tasks: https://paperswithcode.com/task/data-integration
@Machine_learn
🖥 Github: https://github.com/fmh1art/batcher
📕 Paper: https://arxiv.org/pdf/2312.03987v1.pdf
✨ Tasks: https://paperswithcode.com/task/data-integration
@Machine_learn
Syn-Rep-Learn
🖥 Github: https://github.com/google-research/syn-rep-learn
📕 Paper: https://arxiv.org/pdf/2312.04567v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@Machine_learn
🖥 Github: https://github.com/google-research/syn-rep-learn
📕 Paper: https://arxiv.org/pdf/2312.04567v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@Machine_learn
با عرض سلام این مقاله تا دو روز دیگه سابیمت میشه و ارکایوش هم تا ۱۵ روز دیگه چاد میشه. تنها دوجایگاه ازش باقی مونده...!
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🥇 TokenCompose, a text-to-image latent diffusion model trained with fine-grained grounding objectives
🖥 Code: https://github.com/mlpc-ucsd/TokenCompose
🏆 Website: https://mlpc-ucsd.github.io/TokenCompose/
📚 Paper: https://huggingface.co/papers/2312.03626
@Machine_learn
🖥 Code: https://github.com/mlpc-ucsd/TokenCompose
🏆 Website: https://mlpc-ucsd.github.io/TokenCompose/
📚 Paper: https://huggingface.co/papers/2312.03626
@Machine_learn
Exploring the potential of channel interactions for image restoration
🖥 Github: https://github.com/c-yn/ChaIR
📕 Paper: https://www.sciencedirect.com/science/article/abs/pii/S0950705123009061
🔥 Dataset: https://paperswithcode.com/dataset/reside
✨ Tasks: https://paperswithcode.com/task/deblurring
@Machine_learn
🖥 Github: https://github.com/c-yn/ChaIR
📕 Paper: https://www.sciencedirect.com/science/article/abs/pii/S0950705123009061
🔥 Dataset: https://paperswithcode.com/dataset/reside
✨ Tasks: https://paperswithcode.com/task/deblurring
@Machine_learn
🖥 Self-conditioned Image Generation via Generating Representations
A new benchmark in class-unconditional image generation.
🖥 Github: https://github.com/LTH14/rcg
📚 Paper: https://arxiv.org/abs/2312.03701
🌟 Dataset: https://paperswithcode.com/dataset/imagenet
@Machine_learn
A new benchmark in class-unconditional image generation.
🖥 Github: https://github.com/LTH14/rcg
📚 Paper: https://arxiv.org/abs/2312.03701
🌟 Dataset: https://paperswithcode.com/dataset/imagenet
@Machine_learn
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting
🖥 Github: https://github.com/junwuzhang19/repaint123
📕 Paper: https://arxiv.org/pdf/2312.13271v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/nerf
@Machine_learn
🖥 Github: https://github.com/junwuzhang19/repaint123
📕 Paper: https://arxiv.org/pdf/2312.13271v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/nerf
@Machine_learn
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
🖥 Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms
📕 Paper: https://arxiv.org/pdf/2312.14794v1.pdf
✨ Tasks: https://paperswithcode.com/task/information-retrieval
@Machine_learn
🖥 Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms
📕 Paper: https://arxiv.org/pdf/2312.14794v1.pdf
✨ Tasks: https://paperswithcode.com/task/information-retrieval
@Machine_learn
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⚡️ LLM360 - framework for open-source LLMs to foster transparency, trust, and collaborative research
🖥 Code: https://short.llm360.ai/amber-code
⚡️ Model: https://short.llm360.ai/amber-model
🖌Metrics: https://short.llm360.ai/amber-metrics
📚Data: https://short.llm360.ai/amber-data
@Machine_learn
🖥 Code: https://short.llm360.ai/amber-code
⚡️ Model: https://short.llm360.ai/amber-model
🖌Metrics: https://short.llm360.ai/amber-metrics
📚Data: https://short.llm360.ai/amber-data
@Machine_learn
🎞ViStripformer (Video-Stripformer)
🖥 Github: https://github.com/pp00704831/ViStripformer
📕 Paper: https://arxiv.org/pdf/2312.14502v1.pdf
✨ Tasks: https://paperswithcode.com/task/deblurring
🔥Datasets: https://paperswithcode.com/dataset/gopro
@Machine_learn
🖥 Github: https://github.com/pp00704831/ViStripformer
📕 Paper: https://arxiv.org/pdf/2312.14502v1.pdf
✨ Tasks: https://paperswithcode.com/task/deblurring
🔥Datasets: https://paperswithcode.com/dataset/gopro
@Machine_learn