Search Results for author: Swaminathan Gurumurthy

Found 5 papers, 3 papers with code

Joint inference and input optimization in equilibrium networks

1 code implementation NeurIPS 2021 Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter

Many tasks in deep learning involve optimizing over the \emph{inputs} to a network to minimize or maximize some objective; examples include optimization over latent spaces in a generative model to match a target image, or adversarially perturbing an input to worsen classifier performance.

Denoising Meta-Learning

MAME : Model-Agnostic Meta-Exploration

no code implementations11 Nov 2019 Swaminathan Gurumurthy, Sumit Kumar, Katia Sycara

Meta-Reinforcement learning approaches aim to develop learning procedures that can adapt quickly to a distribution of tasks with the help of a few examples.

Efficient Exploration Meta Reinforcement Learning

Community Regularization of Visually-Grounded Dialog

1 code implementation10 Aug 2018 Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Mike Lewis, Katia Sycara

The task of conducting visually grounded dialog involves learning goal-oriented cooperative dialog between autonomous agents who exchange information about a scene through several rounds of questions and answers in natural language.

High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization

no code implementations9 Jul 2018 Swaminathan Gurumurthy, Shubham Agrawal

Experiments show that our algorithm is capable of successfully reconstructing point clouds with large missing regions with very high fidelity without having to rely on exemplar based database retrieval.

Retrieval Vocal Bursts Intensity Prediction

DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data

2 code implementations CVPR 2017 Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan

A class of recent approaches for generating images, called Generative Adversarial Networks (GAN), have been used to generate impressively realistic images of objects, bedrooms, handwritten digits and a variety of other image modalities.

Image Generation

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