AI Paper Atlas

Research map / Learning theory and algorithms / Prediction and decision losses

Algorithms with explicit predictors

Model prediction error and predictor quality to analyze algorithms using ML predictions.

62 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Prediction and decision losses, keyword cluster “conformal · predictions · online”

State History Tried Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

17 papers in 2023–24 and 21 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 3.2% to 3.6%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 1162017: 1172018: 3182019: 3192020: 5202021: 6212022: 5222023: 8232024: 9242025: 10252026: 1126

Most cited paper of each year

Earliest papers here

What has been tried

44 papers here report 350 measured changes (a component added, removed or swapped, compared with a baseline): helped 63%, no clear effect 9%, hurt 22%, mixed 6%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Add the missingness indicatorMCAR · prediction performanceHelpedImputation for prediction: beware of diminishing returns. (ICLR 2025 · 3 citations)
replace CatBoost with a 4-depth decision treeGerman jobseekers · R²5% decrease in R²HurtThe Value of Prediction in Identifying the Worst-Off (ICML 2025 · 0 citations)
Increase MFCS weight-estimation depth dBlue and red fluorescent protein design · coverageHelpedConformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) (ICML 2024 · 0 citations)
Use a waiting time depending on k instead of τ = 0.2Pareto weights · competitive ratioMixedThe Secretary Problem with Predicted Additive Gap (NeurIPS 2024 · 0 citations)

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 38 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 37 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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