NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion
Github: https://github.com/microsoft/nuwa
Paper: https://arxiv.org/abs/2111.12417v1
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
Github: https://github.com/microsoft/nuwa
Paper: https://arxiv.org/abs/2111.12417v1
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
How to Build a Knowledge Graph with Neo4J and Transformers
https://www.kdnuggets.com/2021/11/build-knowledge-graph-neo4j-transformers.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2021/11/build-knowledge-graph-neo4j-transformers.html
@ArtificialIntelligencedl
🎼 KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing
Github: https://github.com/kuielab/mdx-net
Paper: hhttps://arxiv.org/abs/2111.12203v1
Dataset: https://paperswithcode.com/dataset/musdb18
@ArtificialIntelligencedl
Github: https://github.com/kuielab/mdx-net
Paper: hhttps://arxiv.org/abs/2111.12203v1
Dataset: https://paperswithcode.com/dataset/musdb18
@ArtificialIntelligencedl
Emotion Embedding Spaces for Matching Music to Stories
Github: https://github.com/minzwon/text2music-emotion-embedding
Paper: https://arxiv.org/abs/2111.13468v1
Dataset: https://paperswithcode.com/dataset/audioset
@ArtificialIntelligencedl
Github: https://github.com/minzwon/text2music-emotion-embedding
Paper: https://arxiv.org/abs/2111.13468v1
Dataset: https://paperswithcode.com/dataset/audioset
@ArtificialIntelligencedl
COIN is the currently largest dataset for comprehensive instruction video analysis
Github: https://github.com/coin-dataset/annotations
Paper: https://arxiv.org/abs/2111.13813v1
@ArtificialIntelligencedl
Github: https://github.com/coin-dataset/annotations
Paper: https://arxiv.org/abs/2111.13813v1
@ArtificialIntelligencedl
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Github: https://github.com/wutong16/density_aware_chamfer_distance
Paper: https://arxiv.org/abs/2111.12702
Dataset: https://paperswithcode.com/dataset/mvp
@ArtificialIntelligencedl
Github: https://github.com/wutong16/density_aware_chamfer_distance
Paper: https://arxiv.org/abs/2111.12702
Dataset: https://paperswithcode.com/dataset/mvp
@ArtificialIntelligencedl
GitHub
GitHub - wutong16/Density_aware_Chamfer_Distance: [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as…
[ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" - wutong16/Density_aware_Chamfer_Distance
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning
Github: https://github.com/JDAI-CV/faceX-Zoo
Paper: https://arxiv.org/abs/2112.00568v1
Dataset: https://paperswithcode.com/dataset/replay-attack
@ArtificialIntelligencedl
Github: https://github.com/JDAI-CV/faceX-Zoo
Paper: https://arxiv.org/abs/2112.00568v1
Dataset: https://paperswithcode.com/dataset/replay-attack
@ArtificialIntelligencedl
Stationary Diffusion State Neural Estimation
Github: https://github.com/kunzhan/sdsne
Paper: https://arxiv.org/abs/2112.01334v1
@ArtificialIntelligencedl
Github: https://github.com/kunzhan/sdsne
Paper: https://arxiv.org/abs/2112.01334v1
@ArtificialIntelligencedl
Video Frame Interpolation without Temporal Priors
Github: https://github.com/yjzhang96/UTI-VFI#video-frame-interpolation-without-temporal-priors-neurips2020
Paper: https://arxiv.org/pdf/2112.01161v1.pdf
Video: https://www.youtube.com/watch?v=aTKa--tmHuM
@ArtificialIntelligencedl
Github: https://github.com/yjzhang96/UTI-VFI#video-frame-interpolation-without-temporal-priors-neurips2020
Paper: https://arxiv.org/pdf/2112.01161v1.pdf
Video: https://www.youtube.com/watch?v=aTKa--tmHuM
@ArtificialIntelligencedl
A Fast Knowledge Distillation Framework for Visual Recognition
Github: https://github.com/szq0214/fkd
Paper: https://arxiv.org/abs/2112.01528v1
@ArtificialIntelligencedl
Github: https://github.com/szq0214/fkd
Paper: https://arxiv.org/abs/2112.01528v1
@ArtificialIntelligencedl
👍1
Text2Mesh: Text-Driven Neural Stylization for Meshes
Github: https://github.com/threedle/text2mesh
Project: https://threedle.github.io/text2mesh/
Paper: https://arxiv.org/abs/2112.03221
@ArtificialIntelligencedl
Github: https://github.com/threedle/text2mesh
Project: https://threedle.github.io/text2mesh/
Paper: https://arxiv.org/abs/2112.03221
@ArtificialIntelligencedl
Garment4D: Garment Reconstruction from Point Cloud Sequences
Github: https://github.com/hongfz16/garment4d
Project: https://hongfz16.github.io/projects/Garment4D.html
Paper: https://arxiv.org/abs/2112.04159v1
@ArtificialIntelligencedl
Github: https://github.com/hongfz16/garment4d
Project: https://hongfz16.github.io/projects/Garment4D.html
Paper: https://arxiv.org/abs/2112.04159v1
@ArtificialIntelligencedl
Language Modelling at Scale: Gopher, Ethical considerations, and Retrieval
Deepmind: https://deepmind.com/blog/article/language-modelling-at-scale
Paper: https://storage.googleapis.com/deepmind-media/research/language-research/Ethical%20and%20social%20risks.pdf
@ArtificialIntelligencedl
Deepmind: https://deepmind.com/blog/article/language-modelling-at-scale
Paper: https://storage.googleapis.com/deepmind-media/research/language-research/Ethical%20and%20social%20risks.pdf
@ArtificialIntelligencedl
💡 Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
Github: https://github.com/zixuanke/pycontinual
Paper: https://arxiv.org/pdf/2112.03271v1.pdf
@ArtificialIntelligencedl
Github: https://github.com/zixuanke/pycontinual
Paper: https://arxiv.org/pdf/2112.03271v1.pdf
@ArtificialIntelligencedl
🎹 Music Source Separation with Channel-wise Subband Phase Aware ResUnet (CWS-PResUNet)
Github: https://github.com/haoheliu/2021-ismir-mss-challenge-cws-presunet
Paper: https://arxiv.org/abs/2112.04685v1
Tasks: https://paperswithcode.com/task/music-source-separation
@ArtificialIntelligencedl
Github: https://github.com/haoheliu/2021-ismir-mss-challenge-cws-presunet
Paper: https://arxiv.org/abs/2112.04685v1
Tasks: https://paperswithcode.com/task/music-source-separation
@ArtificialIntelligencedl
🚀 Boosting Active Learning via Improving Test Performance
Github: https://github.com/xulabs/aitom
Tutorials: https://github.com/xulabs/aitom/tree/master/doc/tutorials
Paper: https://arxiv.org/abs/2112.05683v1
Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
Github: https://github.com/xulabs/aitom
Tutorials: https://github.com/xulabs/aitom/tree/master/doc/tutorials
Paper: https://arxiv.org/abs/2112.05683v1
Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
📌 FinRL-Meta: A Universe of Market Environments.
Github: https://github.com/ai4finance-foundation/finrl-meta
Paper: https://arxiv.org/abs/2112.05683v1
@ArtificialIntelligencedl
Github: https://github.com/ai4finance-foundation/finrl-meta
Paper: https://arxiv.org/abs/2112.05683v1
@ArtificialIntelligencedl
⚡️ HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
Github: https://arxiv.org/abs/2112.07221v1
Paper: https://arxiv.org/abs/2112.05683v1
Dataset: https://paperswithcode.com/dataset/reddit
@ArtificialIntelligencedl
Github: https://arxiv.org/abs/2112.07221v1
Paper: https://arxiv.org/abs/2112.05683v1
Dataset: https://paperswithcode.com/dataset/reddit
@ArtificialIntelligencedl
This media is not supported in your browser
VIEW IN TELEGRAM
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
https://nvlabs.github.io/denoising-diffusion-gan/
Paper: https://arxiv.org/pdf/2112.07804.pdf
Code: https://github.com/NVlabs/denoising-diffusion-gan
@ArtificialIntelligencedl
https://nvlabs.github.io/denoising-diffusion-gan/
Paper: https://arxiv.org/pdf/2112.07804.pdf
Code: https://github.com/NVlabs/denoising-diffusion-gan
@ArtificialIntelligencedl
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Github: https://github.com/Arthur151/ROMP
Paper: https://arxiv.org/abs/2112.08274v1
Dataset: https://paperswithcode.com/dataset/agora
@ArtificialIntelligencedl
Github: https://github.com/Arthur151/ROMP
Paper: https://arxiv.org/abs/2112.08274v1
Dataset: https://paperswithcode.com/dataset/agora
@ArtificialIntelligencedl
PECOS - Predictions for Enormous and Correlated Output Spaces
Github: https://github.com/amzn/pecos
Paper: https://arxiv.org/abs/2112.08652v1
@ArtificialIntelligencedl
Github: https://github.com/amzn/pecos
Paper: https://arxiv.org/abs/2112.08652v1
@ArtificialIntelligencedl