DeepLABNet: End-to-end Learning of Deep Radial Basis Networks
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Bibliographic record
Abstract
Radial basis function (RBF) networks provide an interesting mechanism for learning complex non-linear activation functions in a neuralnetwork. However, the interest in RBF networks has waned dueto the difficulty of integrating RBFs into deep neural network architectures in a tractable and stable manner. In this work, we presenta novel approach that enables end-to-end learning of deep RBFnetworks with fully learnable activation basis functions in a tractablemanner. We demonstrate that our approach for enabling the use oflearnable activation basis functions in deep neural networks, whichwe will refer to as DeepLABNet, is an effective tool for automatedactivation function learning within complex network architectures.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it