Prof. Ryan Cotterell — Research Profile
ETH Zurich · Department of Computer Science
About
취리히 연방공과대학교 컴퓨터과학과 소속 Ryan Cotterell 교수의 등록된 연구 분야는 natural language processing, computational linguistics, machine learning입니다.
Research keywords
Recent papers
- Estimating Surprisal from the Speech SignalNewPreprintarXiv (Cornell University) · Oct 13
- Revisiting the Estimation of Unigram Surprisal in Computational PsycholinguisticsNewPreprintarXiv (Cornell University) · Oct 13
- Estimating Great Expectations Under Autoregressive Language Models with PotentialsNewPreprintarXiv (Cornell University) · Oct 8
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Antoine Bosselut 교수 연구실
EPFL · School of Computer and Communication Sciences
Language-Specific Effects of Tokenizer Choice in Multilingual Language ModelsPreprintarXiv (Cornell University) · Oct 8Shared topic: Natural Language Processing Techniques
Martin Jaggi 교수 연구실
EPFL · School of Computer and Communication Sciences
Adapting English Quality Classifiers for Multilingual LLM Pretraining Data SelectionPreprintarXiv (Cornell University) · Oct 8Shared topic: Topic Modeling
Pascal Frossard 교수 연구실
EPFL · School of Computer and Communication Sciences
Enhancing Diffusion Language Models with Autoregressive Post-Training WeightsPreprintarXiv (Cornell University) · Oct 6Shared topic: Topic Modeling
Other labs in this department
- Adrian Perrig 교수 연구실
system and network security, networks, internet architecture
- Ana Klimovic 교수 연구실
cloud computing, operating systems, distributed systems, storage systems, computer architecture
- Andreas Krause 교수 연구실
machine learning, artificial intelligence, reinforcement learning, probabilistic inference
- Angelika Steger 교수 연구실
algorithms, combinatorics, randomization and probabilistic methods, combinatorial models for optimization
- April Yi Wang 교수 연구실
educational technology, human-computer interaction, artificial intelligence in education, collective intelligence and organizational technology, end-user programming, user interface for programming
- Bernhard Schölkopf 교수 연구실
machine learning, causal inference, applications in the sciences