All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)

🖥 Github: https://github.com/LiyaoTang/ERDA

📕 Paper: https://arxiv.org/abs/2408.16520v1

🚀 Dataset: https://paperswithcode.com/dataset/cityscapes

https://t.me/DataScienceT ⭐️

⚡️ ART - Actually Robust Training

pip install art-training

🖥 Github: https://github.com/sebchw/actually-robust-training

📕 Paper: https://arxiv.org/abs/2408.16285v1

https://t.me/DataScienceT ⭐️

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣  Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/codeprogrammer

🎞 Graph Neural Networks with Missing Node Features
 
💥 Free recorded tutorial by Emanuele Rossi

💾 https://youtu.be/xe5A-xQTBdM 
 
https://t.me/DataScienceT ⭐️

Sapiens: Foundation for Human Vision Models

Paper: https://arxiv.org/pdf/2408.12569v3.pdf

Code: https://github.com/facebookresearch/sapiens

Datasets: Hi4D

https://t.me/DataScienceT ⭐️

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper: https://arxiv.org/pdf/2408.15998v1.pdf

Code: https://github.com/nvlabs/eagle

https://t.me/DataScienceT ⭐️

SGLang: Efficient Execution of Structured Language Model Programs

Paper: https://arxiv.org/pdf/2312.07104v2.pdf

Code: https://github.com/sgl-project/sglang

Datasets: MMLU | HellaSwag | LLaVA-Bench

https://t.me/DataScienceT ⭐️

Conformal prediction under ambiguous ground truth

Paper: https://arxiv.org/pdf/2307.09302v2.pdf

Codes:

https://github.com/google-deepmind/uncertain_ground_truth

https://github.com/alaalab/webcp

Dataset: Dermatology ddx dataset

https://t.me/DataScienceT ⭐️

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Paper: https://arxiv.org/pdf/2408.16532v1.pdf

Code: https://github.com/jishengpeng/wavtokenizer

Dataset: AudioSet LibriTTS SLURP

https://t.me/DataScienceT ⭐️

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper: https://arxiv.org/pdf/2408.15998v1.pdf

Code: https://github.com/nvlabs/eagle

https://t.me/DataScienceT ⭐️

Text2SQL is Not Enough: Unifying AI and Databases with TAG

Paper: https://arxiv.org/pdf/2408.14717v1.pdf

Code: https://github.com/tag-research/tag-bench

https://t.me/DataScienceT ⭐️

Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Paper: https://arxiv.org/pdf/2408.16725v2.pdf

Code: https://github.com/gpt-omni/mini-omni

Dataset: LibriSpeech

https://t.me/DataScienceT ⭐️

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification

Paper:https://arxiv.org/pdf/2407.03575v1.pdf

Code: https://github.com/chongqingnosubway/dgr-mil

https://t.me/DataScienceT ⭐️

aTENNuate: is a network that can be configured for real-time speech enhancement on raw audio waveforms.

🖥 Github: https://github.com/Brainchip-Inc/aTENNuate

📕 Paper: https://arxiv.org/abs/2409.03377v1

🚀 Dataset:  https://paperswithcode.com/dataset/deep-noise-suppression-2020

💡 1M-Deepfakes Detection Challenge

🖥 Github: https://github.com/controlnet/av-deepfake1m

📕 Paper: https://arxiv.org/abs/2409.06991v1

⚡️ Dataset: https://paperswithcode.com/dataset/celeb-df

BEST AI RESEARCH PAPER SUMMARIZERS

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IBM Watson Discovery - Harnesses cognitive computing to understand context within texts and enable precise searches across large document libraries for summarization.

https://t.me/DataScienceT ⭐️