Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording. - Benjamin Elizalde; Anurag Kumar 003; Ankit Shah 001; Rohan Badlani; Emmanuel Vincent 001; Bhiksha Raj; Ian R. Lane (DCASE, 2016)

An Approach for Self-Training Audio Event Detectors Using Web Data. - Ankit Shah 001; Rohan Badlani; Anurag Kumar 003; Benjamin Elizalde; Bhiksha Raj (CoRR, 2016)

DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System. - Annamaria Mesaros; Toni Heittola; Aleksandr Diment; Benjamin Elizalde; Ankit Shah 001; Emmanuel Vincent 001; Bhiksha Raj; Tuomas Virtanen (DCASE, 2017)

An approach for self-training audio event detectors using web data. - Benjamin Elizalde; Ankit Shah 001; Siddharth Dalmia; Min Hun Lee; Rohan Badlani; Anurag Kumar 003; Bhiksha Raj; Ian R. Lane (EUSIPCO, 2017)

Framework for Evaluation of Sound Event Detection in Web Videos. - Rohan Badlani; Ankit Shah 001; Benjamin Elizalde; Anurag Kumar 003; Bhiksha Raj (ICASSP, 2018)

Content-Based Representations of Audio Using Siamese Neural Networks. - Pranay Manocha; Rohan Badlani; Anurag Kumar 003; Ankit Shah 001; Benjamin Elizalde; Bhiksha Raj (ICASSP, 2018)

NELS - Never-Ending Learner of Sounds. - Benjamin Elizalde; Rohan Badlani; Ankit Shah 001; Anurag Kumar 003; Bhiksha Raj (CoRR, 2018)

A Closer Look at Weak Label Learning for Audio Events. - Ankit Shah 001; Anurag Kumar 003; Alexander G. Hauptmann; Bhiksha Raj (CoRR, 2018)

Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset. - Ankit Shah 001; Harini Kesavamoorthy; Poorva Rane; Pramati Kalwad; Alexander G. Hauptmann; Florian Metze (CoRR, 2018)

Accident Forecasting in CCTV Traffic Camera Videos. - Ankit Shah 001; Jean-Baptiste Lamare; Tuan Nguyen Anh; Alexander G. Hauptmann (CoRR, 2018)

Learning Sound Events from Webly Labeled Data. - Anurag Kumar 003; Ankit Shah 001; Alexander G. Hauptmann; Bhiksha Raj (IJCAI, 2019)

Training image classifiers using Semi-Weak Label Data. - Anxiang Zhang; Ankit Shah 001; Bhiksha Raj (CoRR, 2021)

An Overview of Techniques for Biomarker Discovery in Voice Signal. - Rita Singh; Ankit Shah 001; Hira Dhamyal (CoRR, 2021)

Ontological Learning from Weak Labels. - Larry Tang 003; Po Hao Chou; Yi Yu Zheng; Ziqian Ge; Ankit Shah 001; Bhiksha Raj (CoRR, 2022)

On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice. - Ankit Shah 001; Hira Dhamyal; Yang Gao 029; Rita Singh; Bhiksha Raj (CoRR, 2022)

An Approach to Ontological Learning from Weak Labels. - Ankit Shah 001; Larry Tang 003; Po Hao Chou; Yi Yu Zheng; Ziqian Ge; Bhiksha Raj (ICASSP, 2023)

Approach to Learning Generalized Audio Representation Through Batch Embedding Covariance Regularization and Constant-Q Transforms. - Ankit Shah 001; Shuyi Chen; Kejun Zhou; Yue Chen; Bhiksha Raj (CoRR, 2023)

Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms. - Joseph Konan; Ojas Bhargave; Shikhar Agnihotri; Hojeong Lee; Ankit Shah 001; Shuo Han; Yunyang Zeng; Amanda Shu; Haohui Liu; Xuankai Chang; Hamza Khalid; Minseon Gwak; et al. (CoRR, 2023)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (CoRR, 2023)

LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model. - Muhammad Ahmed Shah; Roshan Sharma 001; Hira Dhamyal; Raphaël Olivier; Ankit Shah 001; Joseph Konan; Dareen Alharthi; Hazim T. Bukhari; Massa Baali; Soham Deshmukh; Michael Kuhlmann; Bhiksha Raj; et al. (CoRR, 2023)

Psychoacoustic Challenges Of Speech Enhancement On VoIP Platforms. - Joseph Konan; Ojas Bhargave; Shikhar Agnihotri; Shuo Han; Yunyang Zeng; Ankit Shah 001; Bhiksha Raj (CoRR, 2023)

Importance of Negative Sampling in Weak Label Learning. - Ankit Shah 001; Fuyu Tang; Zelin Ye; Rita Singh; Bhiksha Raj (ICASSP, 2024)

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. - Hao Chen 102; Jindong Wang 001; Ankit Shah 001; Ran Tao 013; Hongxin Wei; Xing Xie 001; Masashi Sugiyama; Bhiksha Raj (ICLR, 2024)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang; Xiang Li 106; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (NeurIPS, 2024)

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. - Minghao Liu 009; Zonglin Di; Jiaheng Wei; Zhongruo Wang; Hengxiang Zhang; Ruixuan Xiao; Haoyu Wang 001; Jinlong Pang; Hao Chen 102; Ankit Shah 001; Hongxin Wei; Xinlei He 001; et al. (CoRR, 2024)

Did You Hear That? Introducing AADG: A Framework for Generating Benchmark Data in Audio Anomaly Detection. - Ksheeraja Raghavan; Samiran Gode; Ankit Shah 001; Surabhi Raghavan; Wolfram Burgard; Bhiksha Raj; Rita Singh (CoRR, 2024)

Improving Data Efficiency via Curating LLM-Driven Rating Systems. - Jinlong Pang; Jiaheng Wei; Ankit Shah 001; Zhaowei Zhu; Yaxuan Wang; Chen Qian 001; Yang Liu 018; Yujia Bao; Wei Wei 019 (ICLR, 2025)

LLM Unlearning via Loss Adjustment with Only Forget Data. - Yaxuan Wang; Jiaheng Wei; Chris Yuhao Liu; Jinlong Pang; Quan Liu; Ankit Shah 001; Yujia Bao; Yang Liu 018; Wei Wei 019 (ICLR, 2025)

Deciphering GunType Hierarchy through Acoustic Analysis of Gunshot Recordings. - Ankit Shah 001; Rita Singh; Bhiksha Raj; Alex Hauptmann 001 (CoRR, 2025)