Methods › General › Normalization › ReZero

ReZero

7 papers tagged archive 2025-07-28

Introduced by Thomas Bachlechner et al. in ReZero is All You Need: Fast Convergence at Large Depth

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

ReZero is a normalization approach that dynamically facilitates well-behaved gradients and arbitrarily deep signal propagation. The idea is simple: ReZero initializes each layer to perform the identity operation. For each layer, a residual connection is introduced for the input signal x and one trainable parameter α that modulates the non-trivial transformation of a layer F(𝐱):

𝐱ᵢ₊₁=𝐱ᵢ+αᵢ F(𝐱ᵢ)

where α=0 at the beginning of training. Initially the gradients for all parameters defining F vanish, but dynamically evolve to suitable values during initial stages of training. The architecture is illustrated in the Figure.

Paper Source

Papers archive 2025-07-28

7 shown of 7, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

ReZero: Enhancing LLM search ability by trying one-more-time
15 Apr 2025 · 0 repositories · arXiv:2504.11001
ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze
25 Apr 2024 · 1 repository · arXiv:2404.16364
ReZero: Region-customizable Sound Extraction
31 Aug 2023 · 0 repositories · arXiv:2308.16892
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting
30 Aug 2022 · 0 repositories · arXiv:2208.14236
Predicting the Behavior of Dealers in Over-The-Counter Corporate Bond Markets
12 Mar 2021 · 0 repositories · arXiv:2103.09098
Transforming Recurrent Neural Networks with Attention and Fixed-point Equations
1 Jan 2021 · 0 repositories
ReZero is All You Need: Fast Convergence at Large Depth
10 Mar 2020 · 13 repositories · arXiv:2003.04887

Syntology ran 6 of 6 samples · 0 unverified

Tasks archive 2025-07-28

16 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Language Modeling	2
Language Modelling	2
All	1
Board Games	1
Clustering	1
Decision Making	1
Decoder	1
Large Language Model	1
Position	1
RAG	1
Reinforcement Learning (RL)	1
Retrieval	1
Retrieval-augmented Generation	1
Time Series	1
Time Series Analysis	1
Time Series Forecasting	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (7 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Normalization

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