@RylanSchaeffer
Rylan Schaeffer
6 months
At #NeurIPS2023 & wondering what posters to check out? I have 5 recommendations!! πŸ˜‰ 1. An Information-Theoretic Understanding of Maximum Manifold Capacity Representations @unireps w/ @BerivanISIK @vclecomte @sanmikoyejo @ziv_ravid & more 1/5
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@RylanSchaeffer
Rylan Schaeffer
7 months
Excited to begin announcing our #NeurIPS2023 workshop & conference papers (1/10)! πŸ”₯πŸš€An Information-Theoretic Understanding of Maximum Manifold Capacity RepresentationsπŸš€πŸ”₯ w/ amazing cast @vclecomte @BerivanISIK @sanmikoyejo @ziv_ravid @Andr3yGR @KhonaMikail @ylecun 1/7
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@RylanSchaeffer
Rylan Schaeffer
6 months
@unireps @BerivanISIK @vclecomte @sanmikoyejo @ziv_ravid 2. Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells Appearing at @unireps w/ @KhonaMikail @FieteGroup @sanmikoyejo 2/5
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@RylanSchaeffer
Rylan Schaeffer
7 months
Announcing #2 in our #NeurIPS2023 workshop & conference papers series (2/10)!! πŸ”ŽπŸ§ Testing Assumptions Underlying a Unified Theory for the Origin of Grid CellsπŸ”ŽπŸ§  w @KhonaMikail @FieteGroup @sanmikoyejo & Adrian Bertagnoli Paper: πŸ§΅πŸ‘‡ 1/8
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@RylanSchaeffer
Rylan Schaeffer
6 months
@unireps @BerivanISIK @vclecomte @sanmikoyejo @ziv_ravid @KhonaMikail @FieteGroup 3. Divergence at the Interpolation Threshold: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle Appearing at ATTRIB w/ @sanmikoyejo @KhonaMikail @Andr3yGR @FieteGroup 3/5
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@RylanSchaeffer
Rylan Schaeffer
7 months
Announcing #3 in our #NeurIPS2023 workshop & conference papers series (3/10)! πŸ“ˆπŸ“‰ Divergence at the Interpolation Threshold: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle πŸ“ˆπŸ“‰ w @sanmikoyejo @KhonaMikail @Andr3yGR @FieteGroup 1/11
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@RylanSchaeffer
Rylan Schaeffer
6 months
@unireps @BerivanISIK @vclecomte @sanmikoyejo @ziv_ravid @KhonaMikail @FieteGroup @Andr3yGR 4. Beyond Expectations: Model-Driven Amplification of Dataset Biases in Data Feedback Loops w/ @sanmikoyejo Appearing at @afciworkshop 4/5
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@RylanSchaeffer
Rylan Schaeffer
7 months
Suppose one trains a sequence of models on an accumulating dataset, with new data labeled or generated by the most recent model. How does the bias of the original dataset evolve over time? πŸ€” A short extended abstract appearing at #NeurIPS2023 's @afciworkshop πŸ§΅β¬‡οΈ 1/N
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@RylanSchaeffer
Rylan Schaeffer
6 months
@unireps @BerivanISIK @vclecomte @sanmikoyejo @ziv_ravid @KhonaMikail @FieteGroup @Andr3yGR @afciworkshop 5. Associative Memory Under the Probabilistic Lens w/ @KhonaMikail @Andr3yGR @sanmikoyejo @neurostrow @FieteGroup & Nika Zahedi Nika will be at the poster session - ask her about future directions with Bayesian nonparametrics!!
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@RylanSchaeffer
Rylan Schaeffer
7 months
Excited to announce: πŸ”₯🧠 Associative Memory Under the Probabilistic Lens 🧠πŸ”₯ w @KhonaMikail @Andr3yGR @sanmikoyejo @neurostrow @FieteGroup & Nika Zahedi Appearing @ #NeurIPS2023 Associative Memory & Hopfield Networks Workshop ! πŸ§΅πŸ‘‡ 1/7
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