Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

Github: https://github.com/hpcaitech/colossalai

Paper: https://arxiv.org/abs/2110.14883v1


@ArtificialIntelligencedl
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective

Github: https://github.com/lyxok1/STM-Training

Paper: https://arxiv.org/abs/2111.01323v1

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

@ArtificialIntelligencedl
🥇 Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation

Github: https://github.com/google-research/federated

Paper: https://arxiv.org/abs/2111.02356v1

@ArtificialIntelligencedl
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Github: https://github.com/google-research/rlds

Paper: https://arxiv.org/abs/2111.02767v1

Dataset: https://paperswithcode.com/dataset/d4rl

@ArtificialIntelligencedl
Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review

Github: https://github.com/Ildaron/Laser_control

Paper: https://www.mdpi.com/2072-4292/13/21/4486

@ArtificialIntelligencedl
Theoretical and empirical analysis of a fast algorithm for extracting polygons from signed distance bounds

Github: https://github.com/nenadmarkus/gridhopping

Paper: https://arxiv.org/abs/2111.05778v1

@ArtificialIntelligencedl
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity

Github:https://github.com/pritamqu/CrissCross

Paper: https://arxiv.org/abs/2111.05329v1

Project: https://pritamqu.github.io/CrissCross/

@ArtificialIntelligencedl
🔐 Enhanced Membership Inference Attacks against Machine Learning Models

Github: https://github.com/privacytrustlab/ml_privacy_meter

Paper: https://arxiv.org/abs/2111.09679v1

@ArtificialIntelligencedl