Tim Dettmers
Assistant Professor
Develops efficient deep learning methods such as quantization and low-rank finetuning, and studies open AI agents.
Tim Dettmers's lab at CMU works on efficient training & inference. 12 papers since 2023, 12 at top venues, mostly NeurIPS and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 100%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 3 papers2024 · T1 3
- 7 papers2023 · T1 7
T1 venuesOtherVenues: NeurIPS, ICLR, ICML, ACL, EMNLP
Research focuspaper titles that use each topic's words
- Efficient training & inference7 papers
- open1 paper
- develops efficient0 papers
- low-rank0 papers
- quantization0 papers
Paper list
From DBLP.
20252 papers
20243 papers
20237 papers
- NeurIPS (T1)Distributed Inference and Fine-tuning of Large Language Models Over The Internet (opens in a new tab)
- ACL (T1)Petals: Collaborative Inference and Fine-tuning of Large Models (opens in a new tab)
- NeurIPS (T1)QLoRA: Efficient Finetuning of Quantized LLMs (opens in a new tab)
- NeurIPS (T1)Stable and low-precision training for large-scale vision-language models (opens in a new tab)
- ICML (T1)SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient (opens in a new tab)
- ICML (T1)The case for 4-bit precision: k-bit Inference Scaling Laws (opens in a new tab)
- EMNLP (T1)Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
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- DBLP
- Members
- Lab homepage
- Alumni
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Tiers are venue classifications, not lab rankings.
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