Manoj Kumar
23 papers · 2016–2025 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (11)
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(9)
🧭
Keyword Pioneer
👥
Mega-Team
(42)
🔥
Unstoppable
(10)
🚀
Conference Pioneer
💎
Century Club
(23)
⚡
Prolific Year
(7)
📈
Trend Setter
🗃️
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
Research topics
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