LoTAS: A Novel Activation Function for Deep Neural Networks
Why this work is in the frame
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Bibliographic record
Abstract
Despite progress in deep learning, activation functions remain crucial for optimizing gradient flow and representation. Conventional functions such as ReLU and Swish still face limitations in gradient smoothness and stability near zero and extremes. This paper introduces LoTAS (Logarithmic-Tanh with Asymmetry and residual Skip), a novel activation integrating a logarithmically regulated tanh, a gated mechanism, and a learnable residual path. LoTAS enhances gradient dynamics, promotes stable convergence, and maintains compatibility with batch normalization in both shallow and deep architectures. Comprehensive benchmarks show consistent gains over ReLU and Swish in convergence speed, stability, and adaptability.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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