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Advances in neural information processing systems , volume=

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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2026 2 2024 1

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UNVERDICTED 3

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representative citing papers

Uncovering the Latent Potential of Deep Intermediate Representations

cs.LG · 2026-05-21 · unverdicted · novelty 6.0

Introduces LOES, a constructive spectral method to select task-discriminative subspaces from intermediate layer embeddings, and GeoReg for enforcing simplicial class geometry during fine-tuning, with reported gains increasing with model depth across modalities.

The Platonic Representation Hypothesis

cs.LG · 2024-05-13 · unverdicted · novelty 5.0

Representations learned by large AI models are converging toward a shared statistical model of reality.

There Will Be a Scientific Theory of Deep Learning

stat.ML · 2026-04-23 · unverdicted · novelty 2.0

A mechanics of the learning process is emerging in deep learning theory, characterized by dynamics, coarse statistics, and falsifiable predictions across idealized settings, limits, laws, hyperparameters, and universal behaviors.

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Showing 3 of 3 citing papers.

  • Uncovering the Latent Potential of Deep Intermediate Representations cs.LG · 2026-05-21 · unverdicted · none · ref 13

    Introduces LOES, a constructive spectral method to select task-discriminative subspaces from intermediate layer embeddings, and GeoReg for enforcing simplicial class geometry during fine-tuning, with reported gains increasing with model depth across modalities.

  • The Platonic Representation Hypothesis cs.LG · 2024-05-13 · unverdicted · none · ref 11

    Representations learned by large AI models are converging toward a shared statistical model of reality.

  • There Will Be a Scientific Theory of Deep Learning stat.ML · 2026-04-23 · unverdicted · none · ref 100

    A mechanics of the learning process is emerging in deep learning theory, characterized by dynamics, coarse statistics, and falsifiable predictions across idealized settings, limits, laws, hyperparameters, and universal behaviors.