Prof. Erik Cambria — Research Profile
Nanyang Technological University · College of Computing and Data Science
About
Prof. Erik Cambria at Nanyang Technological University College of Computing and Data Science lists Artificial Intelligence, Sentiment Analysis as their registered research area.
Research keywords
Recent papers
- RAMP: Retrieval Augmented Deep Perturbation Prompt Learning for Multimodal Aspect Based Sentiment AnalysisNewACM Transactions on Multimedia Computing Communications and Applications · Oct 19
- From Surface to Depth: Towards Cognitive Appraisal Reasoning in Multimodal Emotion UnderstandingNewPreprintarXiv (Cornell University) · Oct 8
- ScienceClaw: Benchmarking Continual Self-Evolution of AI-for-Science Agents Across the Natural and Social SciencesPreprintarXiv (Cornell University) · Oct 6
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
Angela Yao 교수 연구실
National University of Singapore · Computer Science
Rethinking Probability-Based Reinforcement Learning From Posterior ConcentrationNewPreprintarXiv (Cornell University) · Oct 1Shared topic: Reinforcement Learning in Robotics
Bryan LOW Kian Hsiang 교수 연구실
National University of Singapore · Computer Science
DIAL: Steerable Language Models with Distilled Instruction-Adherence LevelsNewPreprintarXiv (Cornell University) · Oct 22Shared topic: Topic Modeling
Soujanya Poria 교수 연구실
Nanyang Technological University · School of Electrical and Electronic Engineering
Learning More by Training Less: Uncertainty-Guided Progressive Contraction for Efficient Reasoning Post-TrainingNewPreprintarXiv (Cornell University) · Oct 9Shared topic: Topic Modeling
Other labs in this department
- Alexei Sourin 교수 연구실
Computer Graphics, Interactive Computing
- Anupam Chattopadhyay 교수 연구실
Computing Hardware, Embedded Systems
- Anwitaman Datta 교수 연구실
Distributed Systems, Data Security
- Arvind Easwaran 교수 연구실
Computing Architecture, Real-time Systems
- A S Madhukumar 교수 연구실
Computer Networks and Communications, Signal Processing
- Atsushi Nitanda 교수 연구실
Machine Learning Theory, Optimization