Rahul Bhotika
13 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
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Dynamic Duo
(10)
ποΈ
Keyword Collector
(51)
π
Trend Setter
π
Century Club Β· Bronze
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Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Core AI
(5)
Deep Learning
(4)
Learning Paradigms
(4)
Learning Types Β· Machine Learning
(4)
Application Areas
(3)
Core Methods
(3)
Computer Vision
(2)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Applications
(1)
Keywords
pre-trained model
(2)
image classification
(2)
contrastive learning
(1)
catastrophic forgetting
(1)
stochastic gradient descent
(1)
metric learning
(1)
vision transformer
(1)
self-supervised learning
(1)
multi-task learning
(1)
reward modeling
(1)
few-shot learning
(1)
transfer learning
(1)
domain adaptation
(1)
embedding learning
(1)
direct preference optimization
(1)
semi-supervised learning
(1)
preference alignment
(1)
multimodal learning
(1)
class-incremental learning
(1)
continual learning
(1)
Papers
DPL: Diverse Preference Learning Without A Reference Model
NAACL 2025
Masked Vision and Language Modeling for Multi-modal Representation Learning
ICLR 2023
Relaxing Contrastiveness in Multimodal Representation Learning
WACV 2023
Class-Incremental Learning With Strong Pre-Trained Models
CVPR 2022
Semi-supervised Vision Transformers at Scale
NeurIPS 2022
Task Adaptive Parameter Sharing for Multi-Task Learning
CVPR 2022
X-DETR: A Versatile Architecture for Instance-Wise Vision-Language Tasks
ECCV 2022
End-to-End Piece-Wise Unwarping of Document Images
ICCV 2021
Estimating informativeness of samples with Smooth Unique Information
ICLR 2021
Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment
ECCV 2020
Predicting Training Time Without Training
NeurIPS 2020
Rethinking the Hyperparameters for Fine-tuning
ICLR 2020
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training
ICCV 2019