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pith:VL3WXSYJ

pith:2016:VL3WXSYJ2FP34EL2QPKVVPYFNS
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Gaussian Error Linear Units (GELUs)

Dan Hendrycks, Kevin Gimpel

The GELU activation xΦ(x) outperforms ReLU and ELU on computer vision, natural language processing, and speech tasks.

arxiv:1606.08415 v5 · 2016-06-27 · cs.LG

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We perform an empirical evaluation of the GELU nonlinearity against the ReLU and ELU activations and find performance improvements across all considered computer vision, natural language processing, and speech tasks.

C2weakest assumption

That the observed gains on the specific tasks and models tested will generalize to other architectures, datasets, and training regimes without further tuning.

C3one line summary

GELU activation xΦ(x) outperforms ReLU and ELU on computer vision, NLP, and speech tasks by weighting inputs by value rather than gating by sign.

References

50 extracted · 50 resolved · 0 Pith anchors

[1] Adaptive dropout for training deep neural networks , year =
[2] Learning with pseudo-ensembles , year =
[3] International Conference on Learning Representations , title =
[4] A Simple Approximation to the Area Under Standard Normal Curve , year =
[5] Natural Neural Networks , year =

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Cited by

385 papers in Pith

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First computed 2026-07-05T06:17:34.981584Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

aaf76bcb09d15fbe117a83d55abf056cb9df80b525c95ee008319469da7d0539

Aliases

arxiv: 1606.08415 · arxiv_version: 1606.08415v5 · doi: 10.48550/arxiv.1606.08415 · pith_short_12: VL3WXSYJ2FP3 · pith_short_16: VL3WXSYJ2FP34EL2 · pith_short_8: VL3WXSYJ
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/VL3WXSYJ2FP34EL2QPKVVPYFNS \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: aaf76bcb09d15fbe117a83d55abf056cb9df80b525c95ee008319469da7d0539
Canonical record JSON
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