Bhardwaj, Kartikeya

10 publications

NeurIPS 2024 FouRA: Fourier Low-Rank Adaptation Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli

ICLRW 2024 Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models Nilesh Prasad Pandey, Kartikeya Bhardwaj, Sweta Priyadarshi, Kyunggeun Lee, Jun Ma, Harris Teague

ICMLW 2024 Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Rafael Esteves, Shreya Kadambi, Shubhankar Borse, Paul Whatmough, Risheek Garrepalli, Mart Van Baalen, Harris Teague, Markus Nagel

NeurIPS 2024 Sparse High Rank Adapters Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Shreya Kadambi, Rafael Esteves, Shubhankar Borse, Paul Whatmough, Risheek Garrepalli, Mart Van Baalen, Harris Teague, Markus Nagel

ICML 2023 TIPS: Topologically Important Path Sampling for Anytime Neural Networks Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu

ICCVW 2023 ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li

ICLR 2023 ZiCo: Zero-Shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu

CVPR 2021 How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks with DenseNet-Type Skip Connections? Kartikeya Bhardwaj, Guihong Li, Radu Marculescu

CVPRW 2020 A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu

ECML-PKDD 2020 FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Wei Chen, Kartikeya Bhardwaj, Radu Marculescu