Dhruv Mahajan

30 papers · 2014–2025 · 9 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (11)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (9) 🤝 Dynamic Duo (10) 🔥 Unstoppable (9) 💎 Century Club (30) 🚀 Conference Pioneer 📈 Trend Setter ⚡ Prolific Year (5) 🗃️ Keyword Collector (130)

Conferences

CVPR (13) ECCV (4) NIPS (3) AISTATS (2) ICCV (2) JMLR (2) NAACL (2) ICLR (1) ICML (1)

Top co-authors

Vignesh Ramanathan (10) Abhimanyu Dubey (7) Deepti Ghadiyaram (6) Filip Radenovic (5) Laurens van der Maaten (4) S. Sathiya Keerthi (4) Liang Tan (3) Melanie Kambadur (3) Rui Wang (3) Aston Zhang (3)

Keywords

transfer learning (5) weakly supervised learning (5) object detection (5) representation learning (4) self-supervised learning (4) action recognition (4) instance segmentation (2) faster r-cnn (2) distributed learning (2) linear classifier (2) feature interaction (2) convolutional neural network (2) domain generalization (2) interpretable machine learning (2) domain adaptation (2) visual representation (2) generalized additive model (2) stochastic gradient descent (1) few-shot learning (1) reinforcement learning (1)

Papers

Self-Generated Critiques Boost Reward Modeling for Language Models NAACL 2025 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 Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression ECCV 2024 Context Diffusion: In-Context Aware Image Generation ECCV 2024 Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training CVPR 2023 PACO: Parts and Attributes of Common Objects CVPR 2023 Revisiting Weakly Supervised Pre-Training of Visual Perception Models CVPR 2022 Neural Basis Models for Interpretability NIPS 2022 Scalable Interpretability via Polynomials NIPS 2022 Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals ECCV 2022 Adaptive Methods for Real-World Domain Generalization CVPR 2021 Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency CVPR 2021 PreDet: Large-Scale Weakly Supervised Pre-Training for Detection ICCV 2021 From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality CVPR 2020 ClusterFit: Improving Generalization of Visual Representations CVPR 2020 Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias CVPR 2020 Self-Supervised Learning by Cross-Modal Audio-Video Clustering NIPS 2020 DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data CVPR 2020 Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition CVPR 2019 Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search CVPR 2019 Activity Driven Weakly Supervised Object Detection CVPR 2019 Scaling and Benchmarking Self-Supervised Visual Representation Learning ICCV 2019 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 An efficient distributed learning algorithm based on effective local functional approximations JMLR 2018 Batch-Expansion Training: An Efficient Optimization Framework AISTATS 2018 Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017 A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017 Cluster Canonical Correlation Analysis AISTATS 2014