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⚡️ LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
🖥 Github: https://github.com/3DTopia/LGM
📚 Paper: https://arxiv.org/abs/2402.05054
🔗 Demo: https://huggingface.co/spaces/ashawkey/LGM
💻 Weights: https://huggingface.co/ashawkey/LGM
⏩ Project: https://me.kiui.moe/lgm/
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/3DTopia/LGM
📚 Paper: https://arxiv.org/abs/2402.05054
🔗 Demo: https://huggingface.co/spaces/ashawkey/LGM
💻 Weights: https://huggingface.co/ashawkey/LGM
⏩ Project: https://me.kiui.moe/lgm/
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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🦾 Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
🖥 Github: https://github.com/uclaml/SPIN
📚 Paper: https://arxiv.org/abs/2401.01335
⏩ Project: https://uclaml.github.io/SPIN/
💻 Model: https://huggingface.co/collections/UCLA-AGI/zephyr-7b-sft-full-spin-65c361dfca65637272a02c40
🛡 Dataset: https://huggingface.co/collections/UCLA-AGI/datasets-spin-65c3624e98d4b589bbc76f3a
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/uclaml/SPIN
📚 Paper: https://arxiv.org/abs/2401.01335
⏩ Project: https://uclaml.github.io/SPIN/
💻 Model: https://huggingface.co/collections/UCLA-AGI/zephyr-7b-sft-full-spin-65c361dfca65637272a02c40
🛡 Dataset: https://huggingface.co/collections/UCLA-AGI/datasets-spin-65c3624e98d4b589bbc76f3a
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
🖥 Github: https://github.com/IIPL-CAU/SoftEDA
📕 Paper: https://arxiv.org/pdf/2402.05591v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/cola
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/IIPL-CAU/SoftEDA
📕 Paper: https://arxiv.org/pdf/2402.05591v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/cola
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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EasyKV
🖥 Github: https://github.com/drsy/easykv
📕 Paper: https://arxiv.org/pdf/2402.06262v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/webtext
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/drsy/easykv
📕 Paper: https://arxiv.org/pdf/2402.06262v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/webtext
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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👁️ HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
🖥 Github: https://github.com/Shengcao-Cao/HASSOD
📚 Paper: https://arxiv.org/abs/2402.03311
⏩ Project: https://hassod-neurips23.github.io/
💻 Video: https://www.youtube.com/watch?v=s8u7tEKg5ew
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/Shengcao-Cao/HASSOD
📚 Paper: https://arxiv.org/abs/2402.03311
⏩ Project: https://hassod-neurips23.github.io/
💻 Video: https://www.youtube.com/watch?v=s8u7tEKg5ew
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation
📄 https://arxiv.org/pdf/2401.02076.pdf
💻 https://github.com/SARIHUST/SAMMed
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
📄 https://arxiv.org/pdf/2401.02076.pdf
💻 https://github.com/SARIHUST/SAMMed
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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🧠 SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
▪Paper: https://arxiv.org/pdf/2402.03620.pdf
▪LangChain example: https://github.com/langchain-ai/langchain/blob/master/cookbook/self-discover.ipynb
▪LangGraph example: https://github.com/langchain-ai/langgraph/blob/main/examples/self-discover/self-discover.ipynb
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
▪Paper: https://arxiv.org/pdf/2402.03620.pdf
▪LangChain example: https://github.com/langchain-ai/langchain/blob/master/cookbook/self-discover.ipynb
▪LangGraph example: https://github.com/langchain-ai/langgraph/blob/main/examples/self-discover/self-discover.ipynb
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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SQ-Transformer: Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
🖥 Github: https://github.com/jiangyctarheel/sq-transformer
📕 Paper: https://arxiv.org/pdf/2402.06492v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/wmt-2014
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/jiangyctarheel/sq-transformer
📕 Paper: https://arxiv.org/pdf/2402.06492v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/wmt-2014
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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⚡️ Magic-Me: Identity-Specific Video Customized Diffusion.
▪Github: https://github.com/Zhen-Dong/Magic-Me
▪Colab: https://colab.research.google.com/drive/1gMialn4nkGeDZ72yx1Wob1E1QBgrqeGa
▪Project: https://magic-me-webpage.github.io
▪Paper: arxiv.org/abs/2402.09368
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
▪Github: https://github.com/Zhen-Dong/Magic-Me
▪Colab: https://colab.research.google.com/drive/1gMialn4nkGeDZ72yx1Wob1E1QBgrqeGa
▪Project: https://magic-me-webpage.github.io
▪Paper: arxiv.org/abs/2402.09368
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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⚡️ V-JEPA: The next step toward Yann LeCun’s vision of advanced machine intelligence (AMI)
▪Github: https://github.com/facebookresearch/jepa
▪Paper: https://ai.meta.com/research/publications/revisiting-feature-prediction-for-learning-visual-representations-from-video/
▪Blog: https://ai.meta.com/blog/v-jepa-yann-lecun-ai-model-video-joint-embedding-predictive-architecture/
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
▪Github: https://github.com/facebookresearch/jepa
▪Paper: https://ai.meta.com/research/publications/revisiting-feature-prediction-for-learning-visual-representations-from-video/
▪Blog: https://ai.meta.com/blog/v-jepa-yann-lecun-ai-model-video-joint-embedding-predictive-architecture/
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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MIM-Refiner
🖥 Github: https://github.com/ml-jku/MIM-Refiner
🔖 Paper: https://arxiv.org/pdf/2402.10093v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/imagenet
✨ Tasks: https://paperswithcode.com/task/image-clustering
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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Video Generation with Motions & Facial Expressions Transfer.
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TIA Toolbox
🖥 Github: https://github.com/tissueimageanalytics/tiatoolbox
📕 Paper: https://arxiv.org/pdf/2402.09990v1.pdf
✨ Tasks: https://paperswithcode.com/task/whole-slide-images
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/tissueimageanalytics/tiatoolbox
📕 Paper: https://arxiv.org/pdf/2402.09990v1.pdf
✨ Tasks: https://paperswithcode.com/task/whole-slide-images
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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▪Dataset: https://huggingface.co/datasets/nvidia/OpenMathInstruct-1
▪Paper: https://huggingface.co/papers/2402.10176
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▪proj: https://robot-teaching.github.io
▪paper: https://arxiv.org/abs/2402.11450
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PDD: Positional Discourse Divergence
🖥 Github: https://github.com/williamlyh/pos_div_metric
📕 Paper: https://arxiv.org/pdf/2402.10175v1.pdf
💔 Dataset: https://paperswithcode.com/dataset/recipe1m-1
✨ Tasks: https://paperswithcode.com/task/coherence-evaluation
❤️ Telegram: https://news.1rj.ru/str/DataScienceT
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