Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
🖥 Github: https://github.com/chrisisking/rule-by-example
📕 Paper: https://arxiv.org/pdf/2307.12935v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/hatexplain
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/hatexplain
@ArtificialIntelligencedl
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Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
🖥 Github: https://github.com/bytedance/dq-det
📕 Paper: https://arxiv.org/pdf/2307.12239v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
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EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
🖥 Github: https://github.com/DSL-Lab/echoglad
📕 Paper: https://arxiv.org/pdf/2307.12229v1.pdf
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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FATRER
🖥 Github: https://github.com/ludybupt/FATRER
📕 Paper: https://arxiv.org/pdf/2307.12221v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/iemocap
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/iemocap
@ArtificialIntelligencedl
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Revisiting the Minimalist Approach to Offline Reinforcement Learning
🖥 Github: https://github.com/tinkoff-ai/rebrac
📕 Paper: https://arxiv.org/pdf/2305.09836v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/d4rl
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/d4rl
@ArtificialIntelligencedl
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LCE -- An Augmented Combination of Bagging and Boosting in Python
🖥 Github: https://github.com/localcascadeensemble/lce
📕 Paper: https://arxiv.org/abs/2308.07250v1
🔥 Project: lce.readthedocs.io/
@ArtificialIntelligencedl
pip install lcensemble🔥 Project: lce.readthedocs.io/
@ArtificialIntelligencedl
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Benchmarking Neural Network Generalization for Grammar Induction
🖥 Github: https://github.com/taucompling/bliss
📕 Paper: https://arxiv.org/abs/2308.07250v1
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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From Commit Message Generation to History-Aware Commit Message Completion
🖥 Github: https://github.com/jetbrains-research/commit_message_generation
📕 Paper: https://arxiv.org/pdf/2308.07655v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/mcmd
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/mcmd
@ArtificialIntelligencedl
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⚡Легкий способ получать свежие обновлении и следить за трендами в разработке на вашем языке. Находите свой стек и подписывайтесь:
Машинное обучение: @ai_machinelearning_big_data
Go: @Golang_google
C#: @csharp_ci
Базы данных: sql
Python: @python_job_interview
C/C++/: @cpluspluc
Data Science: @data_analysis_ml
Devops: @devOPSitsec
Rust: @rust_code
Javanoscript: @javanoscriptv
React: @react_tg
PHP: @phpshka
Docker: @docker
Android: @android_its
Мобильная разработка: @mobdevelop
Linux: linuxacademy
Big Data: t.me/bigdatai
Хакинг: @linuxkalii
Java:@javatg
Собеседования: @machinelearning_interview
💼 Папка с вакансиями: t.me/addlist/_zyy_jQ_QUsyM2Vi
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
🔥ИТ-Мемы: t.me/memes_prog
🇬🇧Английский: @english_forprogrammers
Машинное обучение: @ai_machinelearning_big_data
Go: @Golang_google
C#: @csharp_ci
Базы данных: sql
Python: @python_job_interview
C/C++/: @cpluspluc
Data Science: @data_analysis_ml
Devops: @devOPSitsec
Rust: @rust_code
Javanoscript: @javanoscriptv
React: @react_tg
PHP: @phpshka
Docker: @docker
Android: @android_its
Мобильная разработка: @mobdevelop
Linux: linuxacademy
Big Data: t.me/bigdatai
Хакинг: @linuxkalii
Java:@javatg
Собеседования: @machinelearning_interview
💼 Папка с вакансиями: t.me/addlist/_zyy_jQ_QUsyM2Vi
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
🔥ИТ-Мемы: t.me/memes_prog
🇬🇧Английский: @english_forprogrammers
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FLAIR: A Foundation LAnguage Image model of the Retina
🖥 Github: https://github.com/jusiro/flair
📕 Paper: https://arxiv.org/pdf/2308.07898v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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EQ-Net: Elastic Quantization Neural Networks
🖥 Github: https://github.com/xuke225/eq-net
📕 Paper: https://arxiv.org/pdf/2308.07650v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
🖥 Github: https://github.com/osvai/ske2grid
📕 Paper: https://arxiv.org/pdf/2308.07571v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/ucf101
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/ucf101
@ArtificialIntelligencedl
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Complete Instances Mining for Weakly Supervised Instance Segmentation
🖥 Github: https://github.com/ZechengLi19/CIM
📕 Paper: https://www.ijcai.org/proceedings/2023/0127.pdf
🔥 Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
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Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression
🖥 Github: https://github.com/llvy21/duic
📕 Paper: https://arxiv.org/pdf/2308.07733v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/pixel-art
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/pixel-art
@ArtificialIntelligencedl
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LibCity
🖥 Github: https://github.com/libcity/bigscity-libcity
📕 Paper: https://arxiv.org/pdf/2308.12899v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/taxibj
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/taxibj
@ArtificialIntelligencedl
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S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
🖥 Github: https://github.com/sheng-eatamath/s3a
📕 Paper: https://arxiv.org/pdf/2308.12960v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-100
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cifar-100
@ArtificialIntelligencedl
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🐕 Reprogramming Under Constraints
🖥 Github: https://github.com/landskape-ai/reprogram_lt
📕 Paper: https://arxiv.org/pdf/2308.14969v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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git clone https://github.com/FireFYF/ScrollNet.git
cd ScrollNet
🔥 Dataset: https://paperswithcode.com/dataset/tiny-imagenet
@ArtificialIntelligencedl
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Read-only-Prompt-Optimization for Vision-Language Few-shot Learning
🖥 Github: https://github.com/mlvlab/rpo
📕 Paper: https://arxiv.org/pdf/2308.14960v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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imbalanced-DL: Deep Imbalanced Learning in Python
🖥 Github: https://github.com/ntucllab/imbalanced-dl
📕 Paper: https://arxiv.org/pdf/2308.15457v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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