Chandra, Vikas
Massachusetts Institute of Technology
11 papers on CoChatORCID 0009-0005-4996-8455
Most cited papers
- Verified
Federated Learning with Non-IID Data
Zhao, Y., Li, M., Lai, L., Suda, N., Civin, D., & Chandra, V. (2018) · arXiv
Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning
Cited by 2,077
- Verified
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network
Sharma, H., Park, J., Suda, N., Lai, L., Chau, B., Kim, J. K., Chandra, V., & Esmaeilzadeh, H. (2018) · 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA)
Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques
Cited by 543
- Verified
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads
Kwon, H., Lai, L., Pellauer, M., Krishna, T., Chen, Y.-H., & Chandra, V. (2021) · 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques
Cited by 144
- Verified
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Lai, L., Suda, N., & Chandra, V. (2017) · arXiv
Advanced Neural Network ApplicationsLow-power high-performance VLSI design
Cited by 81
- Verified
An Introduction to Vision-Language Modeling
Bordes, F., Pang, R. Y., Ajay, A., Li, A. C., Bardes, A., Petryk, S., Mañas, O., Lin, Z., Mahmoud, A., Jayaraman, B., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis
Cited by 47
- Verified
Vision Transformers with Patch Diversification
Gong, C., Wang, D., Li, M., Chandra, V., & Liu, Q. (2021) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 41
- Verified
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
- Verified
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Wang, D., Li, M., Gong, C., & Chandra, V. (2020) · arXiv
Advanced Neural Network ApplicationsMachine Learning and Data Classification
Cited by 10
- Verified
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
- Verified
Low-Rank+Sparse Tensor Compression for Neural Networks
Hawkins, C., Yang, H., Li, M., Lai, L., & Chandra, V. (2021) · arXiv
Advanced Neural Network ApplicationsTensor decomposition and applications
Cited by 2
- Verified
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
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free