Dhruv Mahajan
30 papers · 2014–2025 · 9 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(10)
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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(132)
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Research topics
Machine Learning
(24)
Deep Learning
(13)
Computer Vision
(12)
Learning Types Β· Machine Learning
(12)
Analysis
(10)
Core Methods
(10)
Learning Types Β· Deep Learning
(10)
Artificial Intelligence
(8)
Core AI Β· Artificial Intelligence
(8)
Application Areas
(7)
Optimization & Theory
(5)
Processing
(4)
Mathematics & Optimization
(3)
Core AI Β· Computer Vision
(3)
Optimization
(3)
Keywords
weakly supervised learning
(6)
transfer learning
(5)
object detection
(5)
representation learning
(4)
self-supervised learning
(4)
action recognition
(4)
large language model
(2)
faster r-cnn
(2)
visual representation
(2)
feature interaction
(2)
instance segmentation
(2)
generalized additive model
(2)
linear classifier
(2)
domain generalization
(2)
distributed learning
(2)
domain adaptation
(2)
interpretable machine learning
(2)
convolutional neural network
(2)
stochastic gradient descent
(1)
few-shot learning
(1)
Papers
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
NAACL 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
Self-Generated Critiques Boost Reward Modeling for Language Models
NAACL 2025
Context Diffusion: In-Context Aware Image Generation
ECCV 2024
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression
ECCV 2024
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
CVPR 2023
PACO: Parts and Attributes of Common Objects
CVPR 2023
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals
ECCV 2022
Neural Basis Models for Interpretability
NeurIPS 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
CVPR 2022
Scalable Interpretability via Polynomials
NeurIPS 2022
Adaptive Methods for Real-World Domain Generalization
CVPR 2021
PreDet: Large-Scale Weakly Supervised Pre-Training for Detection
ICCV 2021
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency
CVPR 2021
ClusterFit: Improving Generalization of Visual Representations
CVPR 2020
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data
CVPR 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
CVPR 2020
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
CVPR 2020
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
NeurIPS 2020
Activity Driven Weakly Supervised Object Detection
CVPR 2019
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
CVPR 2019
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition
CVPR 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
ICCV 2019
An efficient distributed learning algorithm based on effective local functional approximations
JMLR 2018
Batch-Expansion Training: An Efficient Optimization Framework
AISTATS 2018
Exploring the Limits of Weakly Supervised Pretraining
ECCV 2018
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets
CVPR 2018
A distributed block coordinate descent method for training l1 regularized linear classifiers
JMLR 2017
Gradient Boosted Decision Trees for High Dimensional Sparse Output
ICML 2017
Cluster Canonical Correlation Analysis
AISTATS 2014