🔹 Title: DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26603
• PDF: https://arxiv.org/pdf/2509.26603
• Project Page: https://ai-researcher.net
• Github: https://github.com/ResearAI/DeepScientist

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🔹 Title: A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25397
• PDF: https://arxiv.org/pdf/2509.25397

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🔹 Title: TTT3R: 3D Reconstruction as Test-Time Training

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26645
• PDF: https://arxiv.org/pdf/2509.26645

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🔹 Title: ProfVLM: A Lightweight Video-Language Model for Multi-View Proficiency Estimation

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26278
• PDF: https://arxiv.org/pdf/2509.26278
• Project Page: https://huggingface.co/papers?q=AttentiveGatedProjector

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🔹 Title: BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25248
• PDF: https://arxiv.org/pdf/2509.25248

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📌 Paper Walkthrough: U-Net

🗂 Category: DEEP LEARNING

🕒 Date: 2024-09-20 | ⏱️ Read time: 16 min read

A PyTorch implementation on one of the most popular semantic segmentation models.

🔹 Title: Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23873
• PDF: https://arxiv.org/pdf/2509.23873

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🔹 Title: EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26157
• PDF: https://arxiv.org/pdf/2509.26157
• Github: https://github.com/Sachithx/EntroPE

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🔹 Title: d^2Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23094
• PDF: https://arxiv.org/pdf/2509.23094
• Github: https://github.com/Kamichanw/d2Cache

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🔹 Title: jina-reranker-v3: Last but Not Late Interaction for Document Reranking

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25085
• PDF: https://arxiv.org/pdf/2509.25085

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🔹 Title: Estimating Time Series Foundation Model Transferability via In-Context Learning

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23695
• PDF: https://arxiv.org/pdf/2509.23695

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🔹 Title: The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26507
• PDF: https://arxiv.org/pdf/2509.26507
• Github: https://github.com/pathwaycom/bdh

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🔹 Title: Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24510
• PDF: https://arxiv.org/pdf/2509.24510
• Github: https://github.com/patrikwolf/ttt_theory

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🔹 Title: Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs

🔹 Publication Date: Published on Sep 21

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21361
• PDF: https://arxiv.org/pdf/2509.21361

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🔹 Title: Video Object Segmentation-Aware Audio Generation

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26604
• PDF: https://arxiv.org/pdf/2509.26604
• Project Page: https://saganet.notion.site
• Github: https://github.com/ilpoviertola/SAGANet

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🔹 Title: Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26226
• PDF: https://arxiv.org/pdf/2509.26226

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🔹 Title: Convolutional Set Transformer

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22889
• PDF: https://arxiv.org/pdf/2509.22889
• Project Page: https://github.com/chinefed/convolutional-set-transformer
• Github: https://github.com/chinefed/convolutional-set-transformer

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🔹 Title: GeoRemover: Removing Objects and Their Causal Visual Artifacts

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18538
• PDF: https://arxiv.org/pdf/2509.18538
• Github: https://github.com/buxiangzhiren/GeoRemover

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🔹 Title: Muon Outperforms Adam in Tail-End Associative Memory Learning

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26030
• PDF: https://arxiv.org/pdf/2509.26030

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🔹 Title: Nudging the Boundaries of LLM Reasoning

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25666
• PDF: https://arxiv.org/pdf/2509.25666

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🔹 Title: DeepCodeSeek: Real-Time API Retrieval for Context-Aware Code Generation

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25716
• PDF: https://arxiv.org/pdf/2509.25716

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