Viraj Prabhu | DeepAI

DeepAI AI Chat

Featured Co-authors

Kate Saenko
150 publications
Dhruv Batra
141 publications
Sanja Fidler
126 publications
Devi Parikh
115 publications
David Sontag
75 publications
Judy Hoffman
55 publications
Stefan Lee
52 publications
Olga Russakovsky
46 publications
Abhishek Das
42 publications
Anitha Kannan
24 publications
Xavier Amatriain
17 publications

∙ 06/07/2023

ICON^2: Reliably Benchmarking Predictive Inequity in Object Detection

As computer vision systems are being increasingly deployed at scale in h...

0 Sruthi Sudhakar, et al. ∙

∙ 05/30/2023

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images

We propose an automated algorithm to stress-test a trained visual model ...

0 Viraj Prabhu, et al. ∙

∙ 02/09/2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting

Sim2Real domain adaptation (DA) research focuses on the constrained sett...

0 Viraj Prabhu, et al. ∙

∙ 02/08/2023

Mitigating Bias in Visual Transformers via Targeted Alignment

As transformer architectures become increasingly prevalent in computer v...

0 Sruthi Sudhakar, et al. ∙

∙ 06/16/2022

Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency

Visual domain adaptation (DA) seeks to transfer trained models to unseen...

0 Viraj Prabhu, et al. ∙

∙ 04/23/2022

Can domain adaptation make object recognition work for everyone?

Despite the rapid progress in deep visual recognition, modern computer v...

4 Viraj Prabhu, et al. ∙

∙ 10/29/2021

UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models

Deep learning models have been shown to learn spurious correlations from...

0 Arvindkumar Krishnakumar, et al. ∙

∙ 07/21/2021

S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training

Most modern approaches for domain adaptive semantic segmentation rely on...

4 Viraj Prabhu, et al. ∙

∙ 12/21/2020

SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation

Many existing approaches for unsupervised domain adaptation (UDA) focus ...

30 Viraj Prabhu, et al. ∙

∙ 10/16/2020

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

Generalizing deep neural networks to new target domains is critical to t...

0 Viraj Prabhu, et al. ∙

∙ 10/07/2019

Open Set Medical Diagnosis

Machine-learned diagnosis models have shown promise as medical aides but...

49 Viraj Prabhu, et al. ∙

∙ 11/07/2018

Prototypical Clustering Networks for Dermatological Disease Diagnosis

We consider the problem of image classification for the purpose of aidin...

2 Viraj Prabhu, et al. ∙

∙ 10/29/2018

Do Explanations make VQA Models more Predictable to a Human?

A rich line of research attempts to make deep neural networks more trans...

13 Arjun Chandrasekaran, et al. ∙

∙ 10/27/2018

Fabrik: An Online Collaborative Neural Network Editor

We present Fabrik, an online neural network editor that provides tools t...

0 Utsav Garg, et al. ∙

∙ 08/17/2017

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

As AI continues to advance, human-AI teams are inevitable. However, prog...

0 Prithvijit Chattopadhyay, et al. ∙

∙ 05/01/2017

The Promise of Premise: Harnessing Question Premises in Visual Question Answering

In this paper, we make a simple observation that questions about images ...

0 Aroma Mahendru, et al. ∙

∙ 04/03/2017

It Takes Two to Tango: Towards Theory of AI's Mind

Theory of Mind is the ability to attribute mental states (beliefs, inten...

0 Arjun Chandrasekaran, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world