Balaji Krishnamurthy

research

∙ 09/01/2023

Long-Term Memorability On Advertisements

Marketers spend billions of dollars on advertisements but to what end? A...

0 Harini S I, et al. ∙

research

∙ 09/01/2023

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior

Shannon, in his seminal paper introducing information theory, divided th...

0 Ashmit Khandelwal, et al. ∙

research

∙ 08/22/2023

LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training

Learning object segmentation in image and video datasets without human s...

0 Silky Singh, et al. ∙

research

∙ 07/10/2023

FODVid: Flow-guided Object Discovery in Videos

Segmentation of objects in a video is challenging due to the nuances suc...

0 Silky Singh, et al. ∙

research

∙ 06/28/2023

SARC: Soft Actor Retrospective Critic

The two-time scale nature of SAC, which is an actor-critic algorithm, is...

0 Sukriti Verma, et al. ∙

research

∙ 05/16/2023

A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot

Multimedia content, such as advertisements and story videos, exhibit a r...

0 Aanisha Bhattacharya, et al. ∙

research

∙ 05/16/2023

HyHTM: Hyperbolic Geometry based Hierarchical Topic Models

Hierarchical Topic Models (HTMs) are useful for discovering topic hierar...

0 Simra Shahid, et al. ∙

research

∙ 05/11/2023

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models

A salient characteristic of large pre-trained language models (PTLMs) is...

0 H S V N S Kowndinya Renduchintala, et al. ∙

research

∙ 05/06/2023

Explaining RL Decisions with Trajectories

Explanation is a key component for the adoption of reinforcement learnin...

11 Shripad Vilasrao Deshmukh, et al. ∙

research

∙ 03/27/2023

Parameter Efficient Local Implicit Image Function Network for Face Segmentation

Face parsing is defined as the per-pixel labeling of images containing h...

0 Mausoom Sarkar, et al. ∙

research

∙ 02/11/2023

Synthesizing Human Gaze Feedback for Improved NLP Performance

Integrating human feedback in models can improve the performance of natu...

10 Varun Khurana, et al. ∙

research

∙ 01/17/2023

Towards Estimating Transferability using Hard Subsets

As transfer learning techniques are increasingly used to transfer knowle...

12 Tarun Ram Menta, et al. ∙

research

∙ 11/17/2022

UMFuse: Unified Multi View Fusion for Human Editing applications

The vision community has explored numerous pose guided human editing met...

0 Rishabh Jain, et al. ∙

research

∙ 11/13/2022

VGFlow: Visibility guided Flow Network for Human Reposing

The task of human reposing involves generating a realistic image of a pe...

0 Rishabh Jain, et al. ∙

research

∙ 10/21/2022

Distilling the Undistillable: Learning from a Nasty Teacher

The inadvertent stealing of private/sensitive information using Knowledg...

6 Surgan Jandial, et al. ∙

research

∙ 09/12/2022

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text

Active consumption of digital documents has yielded scope for research i...

10 Abhinav Java, et al. ∙

research

∙ 08/12/2022

LM-CORE: Language Models with Contextually Relevant External Knowledge

Large transformer-based pre-trained language models have achieved impres...

6 Jivat Neet Kaur, et al. ∙

research

∙ 07/20/2022

Differentiable Agent-based Epidemiology

Mechanistic simulators are an indispensable tool for epidemiology to exp...

7 Ayush Chopra, et al. ∙

research

∙ 06/13/2022

INDIGO: Intrinsic Multimodality for Domain Generalization

For models to generalize under unseen domains (a.k.a domain generalizati...

0 Puneet Mangla, et al. ∙

research

∙ 06/12/2022

CoSe-Co: Text Conditioned Generative CommonSense Contextualizer

Pre-trained Language Models (PTLMs) have been shown to perform well on n...

4 Rachit Bansal, et al. ∙

research

∙ 05/08/2022

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models

Conditional image generation has paved the way for several breakthroughs...

14 Vedant Singh, et al. ∙

research

∙ 11/23/2021

Status-quo policy gradient in Multi-Agent Reinforcement Learning

Individual rationality, which involves maximizing expected individual re...

0 Pinkesh Badjatiya, et al. ∙

research

∙ 10/09/2021

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks

We introduce DeepABM, a framework for agent-based modeling that leverage...

0 Ayush Chopra, et al. ∙

research

∙ 09/25/2021

MINIMAL: Mining Models for Data Free Universal Adversarial Triggers

It is well known that natural language models are vulnerable to adversar...

21 Swapnil Parekh, et al. ∙

research

∙ 09/14/2021

ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors

Image-based virtual try-on involves synthesizing perceptually convincing...

0 Ayush Chopra, et al. ∙

research

∙ 09/08/2021

Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms

Humans excel at learning long-horizon tasks from demonstrations augmente...

12 Sumedh A. Sontakke, et al. ∙

research

∙ 08/30/2021

Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring

Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a ...

27 Yaman Kumar Singla, et al. ∙

research

∙ 07/09/2021

Form2Seq : A Framework for Higher-Order Form Structure Extraction

Document structure extraction has been a widely researched area for deca...

6 Milan Aggarwal, et al. ∙

research

∙ 07/09/2021

Multi-Modal Association based Grouping for Form Structure Extraction

Document structure extraction has been a widely researched area for deca...

5 Milan Aggarwal, et al. ∙

research

∙ 05/14/2021

Information-theoretic Evolution of Model Agnostic Global Explanations

Explaining the behavior of black box machine learning models through hum...

0 Sukriti Verma, et al. ∙

research

∙ 12/08/2020

Data Instance Prior for Transfer Learning in GANs

Recent advances in generative adversarial networks (GANs) have shown rem...

6 Puneet Mangla, et al. ∙

research

∙ 12/02/2020

TAN-NTM: Topic Attention Networks for Neural Topic Modeling

Topic models have been widely used to learn representations from text an...

0 Madhur Panwar, et al. ∙

research

∙ 10/19/2020

LT-GAN: Self-Supervised GAN with Latent Transformation Detection

Generative Adversarial Networks (GANs) coupled with self-supervised task...

18 Parth Patel, et al. ∙

research

∙ 10/06/2020

Unsupervised Hierarchical Concept Learning

Discovering concepts (or temporal abstractions) in an unsupervised manne...

20 Sumegh Roychowdhury, et al. ∙

research

∙ 09/03/2020

TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback

The ability to efficiently search for images over an indexed database is...

11 Surgan Jandial, et al. ∙

research

∙ 06/24/2020

Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks

Deep neural networks (DNNs) are powerful learning machines that have ena...

0 Surgan Jandial, et al. ∙

research

∙ 04/30/2020

SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation

Few-shot segmentation (FSS) methods perform image segmentation for a par...

17 Siddhartha Gairola, et al. ∙

research

∙ 02/16/2020

Exploring Neural Models for Parsing Natural Language into First-Order Logic

Semantic parsing is the task of obtaining machine-interpretable represen...

0 Hrituraj Singh, et al. ∙

research

∙ 01/17/2020

SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On

Image-based virtual try-on for fashion has gained considerable attention...

17 Surgan Jandial, et al. ∙

research

∙ 01/15/2020

Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss

Social dilemma situations bring out the conflict between individual and ...

10 Pinkesh Badjatiya, et al. ∙

research

∙ 01/15/2020

Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss

In social dilemma situations, individual rationality leads to sub-optima...

0 Pinkesh Badjatiya, et al. ∙

research

∙ 01/15/2020

ShapeVis: High-dimensional Data Visualization at Scale

We present ShapeVis, a scalable visualization technique for point cloud ...

0 Nupur Kumari, et al. ∙

research

∙ 12/23/2019

Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency

As deep reinforcement learning (RL) is applied to more tasks, there is a...

10 Piyush Gupta, et al. ∙

research

∙ 12/01/2019

A Method for Computing Class-wise Universal Adversarial Perturbations

We present an algorithm for computing class-specific universal adversari...

0 Tejus Gupta, et al. ∙

research

∙ 11/29/2019

On the Benefits of Attributional Robustness

Interpretability is an emerging area of research in trustworthy machine ...

11 Mayank Singh, et al. ∙

research

∙ 11/27/2019

Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation

In this work, we look at the problem of structure extraction from docume...

33 Mausoom Sarkar, et al. ∙

research

∙ 07/28/2019

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

Few-shot learning algorithms aim to learn model parameters capable of ad...

0 Puneet Mangla, et al. ∙

research

∙ 05/13/2019

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models

Neural networks are vulnerable to adversarial attacks -- small visually ...

0 Abhishek Sinha, et al. ∙

research

∙ 11/11/2018

ReDecode Framework for Iterative Improvement in Paraphrase Generation

Generating paraphrases, that is, different variations of a sentence conv...

0 Milan Aggarwal, et al. ∙

research

∙ 04/23/2018

Attention Based Natural Language Grounding by Navigating Virtual Environment

In this work, we focus on the problem of grounding language by training ...

0 Abhishek Sinha, et al. ∙

Balaji Krishnamurthy

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