# Iclr Points

> Quantifies the average research effort required to produce one publication at top-tier conferences across 27 computer science subfields. It enables cross-area comparisons of faculty productivity and publication effort by normalizing faculty headcounts against publication counts. Use when the user has predictions and gold and needs to compute ICLR points.

- Skill: `qhjqhj00/iclr-points` (Agent Skill)
- Install (CLI): `npx skillmds add qhjqhj00/iclr-points`
- Raw SKILL.md: https://api.skillmd.com/api/skills/qhjqhj00/iclr-points/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: qhjqhj00 (https://skillmd.com/u/qhjqhj00)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/qhjqhj00/iclr-points

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# iclr-points

> ICLR Points: How Many ICLR Publications Is One Paper in Each Area? — Luo et al. (2025) (arXiv:2503.16623, 2025)

## What this evaluates

Quantifies the average research effort required to produce one publication at top-tier conferences across 27 computer science subfields. It enables cross-area comparisons of faculty productivity and publication effort by normalizing faculty headcounts against publication counts.

## Datasets

- **DBLP publication data (2019–2023) and faculty headcounts** — total ?; splits: all (-1)

## Metrics

- `ICLR points` **(primary)** — range: other
  - ICLR points = (Total faculty count in a subfield) / (Total publications in that subfield's top-tier conferences). It represents the average faculty effort required per publication.

## Input / output format

**Input**: Faculty headcount and publication counts per computer science subfield from DBLP (2019–2023).

**Output**: Scalar value representing average research effort per publication in ICLR points for each of the 27 subfields.

## Scoring recipe

```python
def compute_iclr_points(faculty_count, publication_count):
    if publication_count == 0:
        return 0
    return faculty_count / publication_count
```

## Common pitfalls

- Assumes faculty headcount is a direct proxy for research effort, ignoring part-time roles or varying workloads.
- Does not reflect publication quality, citation impact, or inherent field difficulty.
- Limited by the assumption that faculty publications dominate the area's output.

## Evidence (verbatim from paper)

> Based on the datasets and methodology described above, we compute the average effort to produce one publication in each area's top-tier conferences in the unit of ICLR points.

## Citation

```bibtex
@misc{luo2025iclrpoints,
  title={ICLR Points: How Many ICLR Publications Is One Paper in Each Area?},
  author={Luo et al. (2025)},
  year={2025},
  note={arXiv:2503.16623}
}
```

- arXiv: 2503.16623