38 citations · 60 across the 6 of their papers we have counts for
7 papers
Speedy MASt3R
Jingxing Li, Yongjae Lee, Abhay Kumar Yadav +3
Image matching is a key component of modern 3D vision algorithms, essential for accurate scene reconstruction and localization. MASt3R redefines image matching as a 3D task by leve…
SymNoise: Advancing Language Model Fine-tuning with Symmetric Noise
Abhay Kumar Yadav, Arjun Singh
In this paper, we introduce a novel fine-tuning technique for language models, which involves incorporating symmetric noise into the embedding process. This method aims to enhance…
On the Similarity between the Laplace and Neural Tangent Kernels
Amnon Geifman, Abhay Yadav, Yoni Kasten +3
Recent theoretical work has shown that massively overparameterized neural networks are equivalent to kernel regressors that use Neural Tangent Kernels(NTK). Experiments show that t…
Stabilizing Adversarial Nets With Prediction Methods
Abhay Yadav, Sohil Shah, Zheng Xu +2
Adversarial neural networks solve many important problems in data science, but are notoriously difficult to train. These difficulties come from the fact that optimal weights for ad…
Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation
Carlos Castillo, Soham De, Xintong Han +3
Style transfer is an important task in which the style of a source image is mapped onto that of a target image. The method is useful for synthesizing derivative works of a particul…
Big Batch SGD: Automated Inference using Adaptive Batch Sizes
Soham De, Abhay Yadav, David Jacobs +1
Classical stochastic gradient methods for optimization rely on noisy gradient approximations that become progressively less accurate as iterates approach a solution. The large nois…
Biconvex Relaxation for Semidefinite Programming in Computer Vision
Sohil Shah, Abhay Kumar, Carlos Castillo +3
Semidefinite programming is an indispensable tool in computer vision, but general-purpose solvers for semidefinite programs are often too slow and memory intensive for large-scale…