🌐 DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings


Code: https://github.com/voidism/diffcse

Paper: https://arxiv.org/abs/2204.10298v1

Dataset: https://paperswithcode.com/dataset/sst

@ArtificialIntelligencedl

🤖 Transformer-Rankers

Transformer-rankers is a library to conduct ranking experiments with transformers.


Code: https://github.com/Guzpenha/transformer_rankers

Paper: https://arxiv.org/abs/2204.10558v1

Colab: https://colab.research.google.com/drive/1wGmaO3emC7Sg-tA7nGehIQ2vjOLN9S5e?usp=sharing

@ArtificialIntelligencedl

🚰 Simulating Fluids in Real-World Still Images

surface-based layered representation(SLR), which decomposes the fluid and the static objects in the scene, to better synthesize the animated videos from a single fluid imagе

Code: https://github.com/generalizable-neural-performer/gnr

Paper: https://arxiv.org/abs/2204.11335

Project: https://simulatingfluids.github.io/

@ArtificialIntelligencedl

⏱ Cross Pairwise Ranking for Unbiased Item Recommendation

Code: https://github.com/Qcactus/CPR

Paper: https://arxiv.org/abs/2204.12176v1


@ArtificialIntelligencedl

🌎 Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN

Code: https://github.com/wuqiuche/micromotion-stylegan

Paper: https://arxiv.org/abs/2204.12696v1

Project: https://wuqiuche.github.io/micromotion-project-page/

@ArtificialIntelligencedl

🌱 NeurMips: Neural Mixture of Planar Experts for View Synthesis

A novel planar-based scene representation for modeling geometry and appearance

Code: https://github.com/zhihao-lin/neurmips

Paper: https://arxiv.org/abs/2204.13696

Project: https://zhihao-lin.github.io/neurmips/

Video: https://youtu.be/PV1dCTWL5Oo

Dataset: https://paperswithcode.com/dataset/replica

@ArtificialIntelligencedl

Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM

The proposed methodology creates a convex hull region by performing constrained Delaunay triangulation with depth interpolation using line features.

Code: https://github.com/url-kaist/Struct-MDC

Paper: https://arxiv.org/abs/2204.13877v1

Dataset: https://paperswithcode.com/dataset/plad-1

@ArtificialIntelligencedl

🧷 Quality-Aware Decoding

Code: https://github.com/deep-spin/qaware-decode

Paper: https://arxiv.org/abs/2205.00978v1


@ArtificialIntelligencedl

🔝 OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet.

175B GPT-3

Github: https://github.com/facebookresearch/metaseq

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01068v2

Dataset: https://paperswithcode.com/dataset/superglue

@ai_machinelearning_big_data

📹 Deep Video Harmonization with Color Mapping Consistency

Code: https://github.com/deep-spin/qaware-decode

Paper: https://arxiv.org/abs/2205.00687v1

Dataset: https://github.com/bcmi/Video-Harmonization-Dataset-HYouTube.

@ArtificialIntelligencedl

🔎 Cross-view Transformers for real-time Map-view Semantic Segmentation

Code: https://github.com/bradyz/cross_view_transformers

Paper: https://arxiv.org/abs/2205.02833v1

Dataset: https://paperswithcode.com/dataset/nuscenes

@ArtificialIntelligencedl

☑️ TorchSSL

A Pytorch-based toolbox for semi-supervised learning.

Code: https://github.com/torchssl/torchssl

Paper: https://arxiv.org/abs/2205.07246v1

Logs and weights: https://onedrive.live.com/?authkey=%21AJ%2DwKMa%2DENcbk1s&id=AF426F3217F6565A%213488&cid=AF426F3217F6565A

Python Data Driven Dynamics

A python package to discover SDE equation from time-series data.

Code: https://github.com/tee-lab/pydaddy

Paper: https://arxiv.org/abs/2205.02645v1


@ArtificialIntelligencedl

🤖 Neural 3D Scene Reconstruction with the Manhattan-world Assumption

Code: https://github.com/zju3dv/manhattan_sdf

Paper: https://arxiv.org/abs/2205.02836

Project Page: https://zju3dv.github.io/manhattan_sdf

Video: https://www.youtube.com/watch?v=oEE7mK0YQtc


@ArtificialIntelligencedl

⚡️ EmotionFlow: Capture the Dialogue Level Emotion Transitions

Code: https://github.com/fpcsong/emotionflow

Paper: https://arxiv.org/abs/2204.10298v1

Dataset: https://paperswithcode.com/dataset/meld

@ArtificialIntelligencedl

Activating More Pixels in Image Super-Resolution Transformer

A python package to discover SDE equation from time-series data.

Code: https://github.com/chxy95/hat

Paper: https://arxiv.org/abs/2205.04437v1

Dataset: https://paperswithcode.com/dataset/bsd

@ArtificialIntelligencedl

Хочешь знать, как устроена DALL-E 2?
На что способен GPT-3?
Какие нейросети используются для поиска новых лекарств?

Тогда тебе на канал DLStories!

На канале вы найдете:
- разборы новых архитектур;
- новости из мира AI и Deep Learning;
- ссылки на обучающие курсы, подкасты и статьи;

Также у автора канала есть свой подкаст Deep Learning Stories об исследованиях в сфере AI. Следите за выходом новых эпизодов на канале! 🎧⬇️

@dl_stories

❔ Just Ask: Learning to Answer Questions from Millions of Narrated Videos

Code: https://github.com/antoyang/just-ask

Paper: https://arxiv.org/abs/2205.05019v1

Dataset: https://paperswithcode.com/dataset/webvidvqa3m

@ArtificialIntelligencedl

Shadow-Aware Dynamic Convolution for Shadow Removal

Shadow-Aware Dynamic Convolution (SADC) to resolve the contradiction between the shadow region and non-shadow region for shadow removal. Please refer to the paper for details.

Code: https://github.com/xuyimin0926/sadc

Paper: https://arxiv.org/abs/2205.04908v1

Dataset: https://paperswithcode.com/dataset/istd

@ArtificialIntelligencedl

Group R-CNN for Point-based Weakly Semi-supervised Object Detection

Code: https://github.com/jshilong/grouprcnn

Paper: https://arxiv.org/abs/2205.05920v1

Dataset: https://paperswithcode.com/dataset/coco

@ArtificialIntelligencedl