Avinash Ravichandran

24 papers · 2014–2023 · 5 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (56) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🤝 Dynamic Duo (21) 📈 Trend Setter ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (95)

Venues

CVPR (10) ICLR (5) NeurIPS (4) ECCV (3) ICCV (2)

Top co-authors

Stefano Soatto (21) Rahul Bhotika (10) Alessandro Achille (10) Zhaowei Cai (5) Hao Yang (4) Onkar Dabeer (3) Ashwin Swaminathan (3) Yonatan Dukler (3) Gurumurthy Swaminathan (3) Marzia Polito (3)

Research topics

Machine Learning (19) Artificial Intelligence (14) Deep Learning (12) Learning Paradigms (11) Learning Types · Machine Learning (10) Core Methods (7) Learning Types · Deep Learning (7) Core AI (6) Optimization & Theory · Machine Learning (6) Computer Vision (4) Application Areas (4) Optimization & Theory · Deep Learning (4) Techniques (4) Architectures (3) Analysis (2)

Keywords

few-shot learning (6) transfer learning (6) image classification (5) representation learning (3) pre-trained model (3) vision transformer (3) semi-supervised learning (2) semantic segmentation (2) self-supervised learning (2) deep neural network (2) stochastic gradient descent (1) catastrophic forgetting (1) multi-task learning (1) metric learning (1) image segmentation (1) continual learning (1) convex optimization (1) anomaly detection (1) transductive learning (1) domain adaptation (1)

Papers

A Meta-Learning Approach to Predicting Performance and Data Requirements CVPR 2023 Learning Expressive Prompting With Residuals for Vision Transformers CVPR 2023 Masked Vision and Language Modeling for Multi-modal Representation Learning ICLR 2023 WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR 2023 Your representations are in the network: composable and parallel adaptation for large scale models NeurIPS 2023 Class-Incremental Learning With Strong Pre-Trained Models CVPR 2022 DIVA: Dataset Derivative of a Learning Task ICLR 2022 Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark ECCV 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 Estimating informativeness of samples with Smooth Unique Information ICLR 2021 Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning CVPR 2021 LQF: Linear Quadratic Fine-Tuning CVPR 2021 Mixed-Privacy Forgetting in Deep Networks CVPR 2021 Uniform Sampling over Episode Difficulty NeurIPS 2021 A Baseline for Few-Shot Image Classification ICLR 2020 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 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Task2Vec: Task Embedding for Meta-Learning ICCV 2019 Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation CVPR 2014