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      <title>Dashboard for tracking Table Corpus Lineage</title>
      <link>https://blog.inwon.net/projects/table-corpus-lineage.html</link>
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      <description>An informal dashboard that displays the lineage of commonly seen tabular data corpora.</description>
      <pubDate>Mon, 09 Mar 2026 00:00:00 +0000</pubDate>
      <category>tabular-data</category>
      <category>data-provenance</category>
      <category>dashboard</category>
    </item>
    <item>
      <title>TabPFGen -- Tabular Data Generation with TabPFN</title>
      <link>https://blog.inwon.net/reading/tabpfgen.html</link>
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      <description>Summary of the TabPFGen paper</description>
      <pubDate>Fri, 06 Mar 2026 00:00:00 +0000</pubDate>
      <category>energy-based-model</category>
      <category>synthetic-data</category>
      <category>tabular-data</category>
    </item>
    <item>
      <title>Searching Apple Mail inbox with FZF</title>
      <link>https://blog.inwon.net/tech-tips/searching-apple-mail-fzf.html</link>
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      <description>A simple apple mail search using FZF and a custom indexer</description>
      <pubDate>Tue, 27 Jan 2026 00:00:00 +0000</pubDate>
      <category>apple mail</category>
      <category>fzf</category>
    </item>
    <item>
      <title>Installing packages on a machine without sudo using conda</title>
      <link>https://blog.inwon.net/tech-tips/no-sudo-install-package-conda.html</link>
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      <description>How to install packages on a machine without sudo access using conda</description>
      <pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate>
      <category>remote-computing</category>
    </item>
    <item>
      <title>Midnight Commander -- Transferring Files via (S)FTP and proxies</title>
      <link>https://blog.inwon.net/tech-tips/midnight-commander-ftp.html</link>
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      <description>Quick introduction and guide to using hydra for management configuration in large scale experiments.</description>
      <pubDate>Mon, 08 Dec 2025 00:00:00 +0000</pubDate>
      <category>linux</category>
    </item>
    <item>
      <title>Managing dependencies with pixi and uv</title>
      <link>https://blog.inwon.net/tech-tips/uv-pixi-dependency-management.html</link>
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      <description>My experience so far using pixi for dependency management.</description>
      <pubDate>Thu, 04 Sep 2025 00:00:00 +0000</pubDate>
      <category>pixi</category>
      <category>venv</category>
      <category>python</category>
      <category>uv</category>
    </item>
    <item>
      <title>ConTextTab: A Semantics-Aware Tabular In-Context Learner</title>
      <link>https://blog.inwon.net/reading/contexttab.html</link>
      <guid isPermaLink="true">https://blog.inwon.net/reading/contexttab.html</guid>
      <description>Summary of the ConTexTab (now sap-rpt-1-oss) paper.</description>
      <pubDate>Wed, 23 Jul 2025 00:00:00 +0000</pubDate>
      <category>language-model</category>
      <category>meta-learning</category>
      <category>model-architecture</category>
      <category>tabular-data</category>
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    <item>
      <title>TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations</title>
      <link>https://blog.inwon.net/reading/tabstar.html</link>
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      <description>Summary of the TabSTAR paper.</description>
      <pubDate>Thu, 29 May 2025 00:00:00 +0000</pubDate>
      <category>tabular-data</category>
      <category>model-architecture</category>
      <category>language-models</category>
      <category>representation-learning</category>
    </item>
    <item>
      <title>TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks</title>
      <link>https://blog.inwon.net/reading/tunetables.html</link>
      <guid isPermaLink="true">https://blog.inwon.net/reading/tunetables.html</guid>
      <description>Summary of the TuneTables paper</description>
      <pubDate>Mon, 24 Feb 2025 00:00:00 +0000</pubDate>
      <category>tabular-data</category>
      <category>transformers</category>
      <category>in-context-learning</category>
      <category>prompt-learning</category>
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    <item>
      <title>Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes</title>
      <link>https://blog.inwon.net/reading/llm-boost.html</link>
      <guid isPermaLink="true">https://blog.inwon.net/reading/llm-boost.html</guid>
      <description>Summary of the LLM/PFN-Boost paper</description>
      <pubDate>Thu, 06 Feb 2025 00:00:00 +0000</pubDate>
      <category>boosting</category>
      <category>deep-learning</category>
      <category>decision-tree</category>
      <category>machine-learning</category>
      <category>model-reprogramming</category>
      <category>tabular-data</category>
      <category>transformers</category>
    </item>
    <item>
      <title>The Power of Scale for Parameter-Efficient Prompt Tuning</title>
      <link>https://blog.inwon.net/reading/prompt-tuning.html</link>
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      <description>Summary of the original prompt tuning paper.</description>
      <pubDate>Tue, 21 Jan 2025 00:00:00 +0000</pubDate>
      <category>fine-tuning</category>
      <category>language-model</category>
      <category>nlp</category>
      <category>pretrained-model</category>
      <category>promt-tuning</category>
    </item>
    <item>
      <title>Trompt: Towards a Better Deep Neural Network for Tabular Data</title>
      <link>https://blog.inwon.net/reading/trompt.html</link>
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      <description>Summary of the paper "Trompt: Towards a Better Deep Neural Network for Tabular Data"</description>
      <pubDate>Thu, 16 Jan 2025 00:00:00 +0000</pubDate>
      <category>language-model</category>
      <category>pretrained-model</category>
      <category>prompt-tuning</category>
      <category>tabular-data</category>
    </item>
    <item>
      <title>PTab: Using the Pre-trained Language Model for Modeling Tabular Data</title>
      <link>https://blog.inwon.net/reading/ptab.html</link>
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      <description>Summary of the PTab paper.</description>
      <pubDate>Mon, 13 Jan 2025 00:00:00 +0000</pubDate>
      <category>fine-tuning</category>
      <category>language-model</category>
      <category>representation-learning</category>
      <category>table-to-text</category>
      <category>tabular-data</category>
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    <item>
      <title>In-Context Data Distillation with TabPFN</title>
      <link>https://blog.inwon.net/reading/icl-dd-tabpfn.html</link>
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      <description>Summary of the paper "In-Context Data Distillation with TabPFN"</description>
      <pubDate>Thu, 19 Dec 2024 00:00:00 +0000</pubDate>
      <category>tabular-data</category>
      <category>machine-learning</category>
      <category>deep-learning</category>
      <category>data-distillation</category>
      <category>meta-learning</category>
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    <item>
      <title>TabR: Tabular Deep Learning Meets Nearest Neighbors</title>
      <link>https://blog.inwon.net/reading/tabr.html</link>
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      <description>Summary of the TabR paper</description>
      <pubDate>Thu, 12 Dec 2024 00:00:00 +0000</pubDate>
      <category>deep-learning</category>
      <category>machine-learning</category>
      <category>meta-learning</category>
      <category>model-architecture</category>
      <category>retrieval</category>
      <category>tabular-data</category>
    </item>
    <item>
      <title>Can a Deep Learning Model be a Sure Bet for Tabular Prediction?</title>
      <link>https://blog.inwon.net/reading/excelformer.html</link>
      <guid isPermaLink="true">https://blog.inwon.net/reading/excelformer.html</guid>
      <description>Summary of the Excelformer paper.</description>
      <pubDate>Wed, 11 Dec 2024 00:00:00 +0000</pubDate>
      <category>deep-learning</category>
      <category>machine-learning</category>
      <category>model-architecture</category>
      <category>tabular-data</category>
    </item>
    <item>
      <title>Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data</title>
      <link>https://blog.inwon.net/reading/xtformer.html</link>
      <guid isPermaLink="true">https://blog.inwon.net/reading/xtformer.html</guid>
      <description>Summary of the paper "Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data"</description>
      <pubDate>Wed, 11 Dec 2024 00:00:00 +0000</pubDate>
      <category>deep-learning</category>
      <category>machine-learning</category>
      <category>meta-learning</category>
      <category>model-architecture</category>
      <category>tabular-data</category>
    </item>
    <item>
      <title>Making Pre-trained Language Models Great on Tabular Prediction</title>
      <link>https://blog.inwon.net/reading/tp-berta.html</link>
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      <description>Summary of the paper "Making Pre-trained Language Models Great on Tabular Prediction"</description>
      <pubDate>Thu, 28 Nov 2024 00:00:00 +0000</pubDate>
      <category>deep-learning</category>
      <category>machine-learning</category>
      <category>pretrained-model</category>
      <category>tabular-data</category>
      <category>language-model</category>
      <category>transfer-learning</category>
    </item>
    <item>
      <title>TableGPT2: A Large Multimodal Model with Tabular Data Integration</title>
      <link>https://blog.inwon.net/reading/tablegpt2.html</link>
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      <description>Summary of the paper "TableGPT2: A Large Multimodal Model with Tabular Data Integration"</description>
      <pubDate>Sun, 10 Nov 2024 00:00:00 +0000</pubDate>
      <category>tabular-data</category>
      <category>language-model</category>
      <category>deep-learning</category>
      <category>table-to-text</category>
    </item>
    <item>
      <title>Retrieval &amp; Fine-Tuning for In-Context Tabular Models</title>
      <link>https://blog.inwon.net/reading/localpfn.html</link>
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      <description>Summary of the paper "Retrieval &amp; Fine-Tuning for In-Context Tabular Models"</description>
      <pubDate>Mon, 21 Oct 2024 00:00:00 +0000</pubDate>
      <category>meta-learning</category>
      <category>tabular-data</category>
      <category>deep-learning</category>
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