Srikumar, Vivek

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Du, M., Li, F., Zheng, G., & Srikumar, V. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 1,835

ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars

Shafiee, A., Nag, A., Muralimanohar, N., Balasubramonian, R., Strachan, J. P., Hu, M., Williams, R. S., & Srikumar, V. (2016) · 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 775

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills

Tanana, M. J., Soma, C. S., Srikumar, V., Atkins, D. C., & Imel, Z. E. (2019) · Journal of Medical Internet Research

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Healthcare and Education

Cited by 100

On measuring and mitigating biased inferences of word embeddings

Dev, S., Li, T., Phillips, J. M., & Srikumar, V. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AITopic Modeling

Cited by 14