Krishnamoorthi, Raghuraman

Quantizing deep convolutional networks for efficient inference: A whitepaper

Krishnamoorthi, R. (2018) · arXiv

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 753

Deep Learning Recommendation Model for Personalization and Recommendation Systems

Naumov, M., Mudigere, D., Shi, H.-J. M., Huang, J., Sundaraman, N., Park, J., Wang, X., Gupta, U., Wu, C.-J., Azzolini, A. G., et al. (2019) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 411

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Liu, Z., Oguz, B., Zhao, C., Chang, E., Stock, P., Mehdad, Y., Shi, Y., Krishnamoorthi, R., & Chandra, V. (2023) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 13

Agent-as-a-Judge: Evaluate Agents with Agents

Zhuge, M., Zhao, C., Ashley, D., Wang, W., Khizbullin, D., Xiong, Y., Liu, Z., Chang, E., Krishnamoorthi, R., Tian, Y., et al. (2024) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 5

VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice

Liu, S., Zhuge, M., Zhao, C., Chen, J., Wu, L., Liu, Z., Zhu, C., Cai, Z., Zhou, C., Liu, H., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 0

Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations

Fedorov, I., Plawiak, K., Wu, L., Elgamal, T., Suda, N., Smith, E., Zhan, H., Chi, J., Hulovatyy, Y., Patel, K., et al. (2024) · arXiv

Hate Speech and Cyberbullying DetectionAdversarial Robustness in Machine Learning

Cited by 0