← Authors

Manoj Kumar

23 papers · 2016–2025 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (50) 🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (9) 🧭 Keyword Pioneer πŸ‘₯ Mega-Team (42) πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (23) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (97)

Conferences

INTERSPEECH (5) ICLR (3) NAACL (3) EMNLP (2) ICML (2) AACL (1) CVPR (1) IJCNLP (1) JMLR (1) NIPS (1) SEMEVAL (1) UAI (1) WACV (1)

Top co-authors

Rahul Gupta (7) Anna Rumshisky (4) Morteza Ziyadi (3) Neil Houlsby (3) Shrikanth Narayanan (3) Sandeep Kumar (3) Anil Ramakrishna (2) Shrikanth S. Narayanan (2) Xiaohua Zhai (2) Lucas Beyer (2)

Research topics

Applications (1)

Keywords

named entity recognition (3) intent classification (3) natural language understanding (3) text classification (2) deep learning (2) autism spectrum disorder (2) sarcasm detection (2) data augmentation (2) graph coarsening (2) domain generalization (2) dimensionality reduction (2) graph laplacian (2) tail distribution (2) pose estimation (1) transfer learning (1) contrastive learning (1) spectral clustering (1) image classification (1) active learning (1) point cloud registration (1)

Papers

Certifying Counterfactual Bias in LLMs ICLR 2025
XR-MBT: Multi-Modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration WACV 2025
On Localizing and Deleting Toxic Memories in Large Language Models NAACL 2025
Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024
Optimization Framework for Semi-supervised Attributed Graph Coarsening UAI 2024
Image Captioners Are Scalable Vision Learners Too NIPS 2023
Scaling Vision Transformers to 22 Billion Parameters ICML 2023
Featured Graph Coarsening with Similarity Guarantees ICML 2023
A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English SEMEVAL 2022
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets IJCNLP 2022
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets AACL 2022
Controlled Data Generation via Insertion Operations for NLU NAACL 2022
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English NAACL 2022
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection EMNLP 2022
Unsupervised training data re-weighting for natural language understanding with local distribution approximation EMNLP 2022
Colorization Transformer ICLR 2021
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation ICLR 2020
The Second DIHARD Challenge: System Description for USC-SAIL Team INTERSPEECH 2019
A Knowledge Driven Structural Segmentation Approach for Play-Talk Classification During Autism Assessment INTERSPEECH 2018
Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech INTERSPEECH 2018
Multi-Scale Context Adaptation for Improving Child Automatic Speech Recognition in Child-Adult Spoken Interactions INTERSPEECH 2017
Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment INTERSPEECH 2016