Search Results for author: Puneesh Deora

Found 7 papers, 3 papers with code

LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning

1 code implementation ICCV 2021 Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda

Deep metric learning has been effectively used to learn distance metrics for different visual tasks like image retrieval, clustering, etc.

Image Retrieval Metric Learning +1

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

no code implementations24 Feb 2020 Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan

Although state-of-the-art deep learning based methods have been able to obtain fast, high-quality reconstruction of CS-MR images, their main drawback is that they treat complex-valued MRI data as real-valued entities.

Compressive Sensing Generative Adversarial Network +1

GradML: A Gradient-based Loss for Deep Metric Learning

no code implementations NeurIPS Workshop ICBINB 2021 Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda

Deep metric learning (ML) uses a carefully designed loss function to learn distance metrics for improving the discriminatory ability for tasks like clustering and retrieval.

Metric Learning Retrieval

On the Optimization and Generalization of Multi-head Attention

no code implementations19 Oct 2023 Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis

Finally, we demonstrate that these conditions are satisfied for a simple tokenized-mixture model.

Implicit Bias and Fast Convergence Rates for Self-attention

no code implementations8 Feb 2024 Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis

Self-attention, the core mechanism of transformers, distinguishes them from traditional neural networks and drives their outstanding performance.

Binary Classification regression

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