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09/01/2023
Long-Term Memorability On Advertisements
Marketers spend billions of dollars on advertisements but to what end? A...
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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...
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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...
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07/10/2023
FODVid: Flow-guided Object Discovery in Videos
Segmentation of objects in a video is challenging due to the nuances suc...
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06/28/2023
SARC: Soft Actor Retrospective Critic
The two-time scale nature of SAC, which is an actor-critic algorithm, is...
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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...
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05/16/2023
HyHTM: Hyperbolic Geometry based Hierarchical Topic Models
Hierarchical Topic Models (HTMs) are useful for discovering topic hierar...
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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...
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05/06/2023
Explaining RL Decisions with Trajectories
Explanation is a key component for the adoption of reinforcement learnin...
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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...
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02/11/2023
Synthesizing Human Gaze Feedback for Improved NLP Performance
Integrating human feedback in models can improve the performance of natu...
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01/17/2023
Towards Estimating Transferability using Hard Subsets
As transfer learning techniques are increasingly used to transfer knowle...
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11/17/2022
UMFuse: Unified Multi View Fusion for Human Editing applications
The vision community has explored numerous pose guided human editing met...
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11/13/2022
VGFlow: Visibility guided Flow Network for Human Reposing
The task of human reposing involves generating a realistic image of a pe...
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10/21/2022
Distilling the Undistillable: Learning from a Nasty Teacher
The inadvertent stealing of private/sensitive information using Knowledg...
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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...
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08/12/2022
LM-CORE: Language Models with Contextually Relevant External Knowledge
Large transformer-based pre-trained language models have achieved impres...
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07/20/2022
Differentiable Agent-based Epidemiology
Mechanistic simulators are an indispensable tool for epidemiology to exp...
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06/13/2022
INDIGO: Intrinsic Multimodality for Domain Generalization
For models to generalize under unseen domains (a.k.a domain generalizati...
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06/12/2022
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer
Pre-trained Language Models (PTLMs) have been shown to perform well on n...
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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...
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11/23/2021
Status-quo policy gradient in Multi-Agent Reinforcement Learning
Individual rationality, which involves maximizing expected individual re...
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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...
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09/25/2021
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
It is well known that natural language models are vulnerable to adversar...
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09/14/2021
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
Image-based virtual try-on involves synthesizing perceptually convincing...
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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...
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08/30/2021
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring
Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a ...
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07/09/2021
Form2Seq : A Framework for Higher-Order Form Structure Extraction
Document structure extraction has been a widely researched area for deca...
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07/09/2021
Multi-Modal Association based Grouping for Form Structure Extraction
Document structure extraction has been a widely researched area for deca...
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05/14/2021
Information-theoretic Evolution of Model Agnostic Global Explanations
Explaining the behavior of black box machine learning models through hum...
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12/08/2020
Data Instance Prior for Transfer Learning in GANs
Recent advances in generative adversarial networks (GANs) have shown rem...
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12/02/2020
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
Topic models have been widely used to learn representations from text an...
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10/19/2020
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
Generative Adversarial Networks (GANs) coupled with self-supervised task...
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10/06/2020
Unsupervised Hierarchical Concept Learning
Discovering concepts (or temporal abstractions) in an unsupervised manne...
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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...
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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...
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04/30/2020
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Few-shot segmentation (FSS) methods perform image segmentation for a par...
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02/16/2020
Exploring Neural Models for Parsing Natural Language into First-Order Logic
Semantic parsing is the task of obtaining machine-interpretable represen...
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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...
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01/15/2020
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss
Social dilemma situations bring out the conflict between individual and ...
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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...
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01/15/2020
ShapeVis: High-dimensional Data Visualization at Scale
We present ShapeVis, a scalable visualization technique for point cloud ...
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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...
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12/01/2019
A Method for Computing Class-wise Universal Adversarial Perturbations
We present an algorithm for computing class-specific universal adversari...
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11/29/2019
On the Benefits of Attributional Robustness
Interpretability is an emerging area of research in trustworthy machine ...
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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...
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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...
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05/13/2019
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
Neural networks are vulnerable to adversarial attacks -- small visually ...
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11/11/2018
ReDecode Framework for Iterative Improvement in Paraphrase Generation
Generating paraphrases, that is, different variations of a sentence conv...
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04/23/2018
