Search Results for author: Rajiv Jain

Found 17 papers, 3 papers with code

IGA: An Intent-Guided Authoring Assistant

no code implementations EMNLP 2021 Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer

While large-scale pretrained language models have significantly improved writing assistance functionalities such as autocomplete, more complex and controllable writing assistants have yet to be explored.

Language Modelling Pretrained Language Models

Unified Pretraining Framework for Document Understanding

no code implementations22 Apr 2022 Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun

Document intelligence automates the extraction of information from documents and supports many business applications.

Self-Supervised Learning

MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction

no code implementations19 Feb 2022 Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, Thien Huu Nguyen

Acronym extraction is the task of identifying acronyms and their expanded forms in texts that is necessary for various NLP applications.

CLAUSEREC: A Clause Recommendation Framework for AI-aided Contract Authoring

no code implementations EMNLP 2021 Vinay Aggarwal, Aparna Garimella, Balaji Vasan Srinivasan, Anandhavelu N, Rajiv Jain

We propose a two-staged pipeline to first predict if a specific clause type is relevant to be added in a contract, and then recommend the top clauses for the given type based on the contract context.

Bit-aware Randomized Response for Local Differential Privacy in Federated Learning

no code implementations29 Sep 2021 Phung Lai, Hai Phan, Li Xiong, Khang Phuc Tran, My Thai, Tong Sun, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios, Rajiv Jain

In this paper, we develop BitRand, a bit-aware randomized response algorithm, to preserve local differential privacy (LDP) in federated learning (FL).

Federated Learning Image Classification

User-Entity Differential Privacy in Learning Natural Language Models

no code implementations29 Sep 2021 Phung Lai, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios, Han Hu, Hai Phan

In this paper, we introduce a novel concept of user-entity differential privacy (UeDP) to provide formal privacy protection simultaneously to both sensitive entities in textual data and data owners in learning natural language models.

Was my Model Stolen? Feature Sharing for Robust and Transferable Watermarks

no code implementations29 Sep 2021 Ruixiang Tang, Hongye Jin, Curtis Wigington, Mengnan Du, Rajiv Jain, Xia Hu

The main idea is to insert a watermark which is only known to defender into the protected model and the watermark will then be transferred into all stolen models.

Model extraction

Syntopical Graphs for Computational Argumentation Tasks

no code implementations ACL 2021 Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik, Henning Wachsmuth

Approaches to computational argumentation tasks such as stance detection and aspect detection have largely focused on the text of independent claims, losing out on potentially valuable context provided by the rest of the collection.

Stance Detection

TIMERS: Document-level Temporal Relation Extraction

no code implementations ACL 2021 Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad Morariu, Quan Hung Tran, Dinesh Manocha

We present TIMERS - a TIME, Rhetorical and Syntactic-aware model for document-level temporal relation classification in the English language.

Relation Classification

SelfDoc: Self-Supervised Document Representation Learning

no code implementations CVPR 2021 Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu

For downstream usage, we propose a novel modality-adaptive attention mechanism for multimodal feature fusion by adaptively emphasizing language and vision signals.

Representation Learning

IGA : An Intent-Guided Authoring Assistant

1 code implementation14 Apr 2021 Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer

While large-scale pretrained language models have significantly improved writing assistance functionalities such as autocomplete, more complex and controllable writing assistants have yet to be explored.

Language Modelling Pretrained Language Models

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models

no code implementations NAACL 2021 Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu

These two observations are further employed to formulate a measurement which can quantify the shortcut degree of each training sample.

Certified Watermarks for Neural Networks

no code implementations1 Jan 2021 Arpit Amit Bansal, Ping-Yeh Chiang, Michael Curry, Hossein Souri, Rama Chellappa, John P Dickerson, Rajiv Jain, Tom Goldstein

Watermarking is a commonly used strategy to protect creators' rights to digital images, videos and audio.

Text and Style Conditioned GAN for Generation of Offline Handwriting Lines

1 code implementation1 Sep 2020 Brian Davis, Chris Tensmeyer, Brian Price, Curtis Wigington, Bryan Morse, Rajiv Jain

This paper presents a GAN for generating images of handwritten lines conditioned on arbitrary text and latent style vectors.

Handwriting generation

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