Michael Spratling

6 papers · 2020–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🔥 Unstoppable · Bronze

Venues

CVPR (2) ACML (1) ECCV (1) JMLR (1) WACV (1)

Top co-authors

Maxime Fontana (2) Haoyan Guan (2) Miaojing Shi (2) Aofan Jiang (1) Lin Li (1) Ya Zhang (1) Chaoqin Huang (1) Yan-Feng Wang (1) Nikolay Manchev (1) Jinlai Ning (1)

Research topics

Deep Learning (5) Machine Learning (3) Architectures (3) Learning Types · Deep Learning (3) Optimization & Theory (2) Artificial Intelligence (1) Computer Vision (1) Analysis (1) Application Areas (1) Core AI (1) Learning Types · Machine Learning (1) Models (1) Techniques (1)

Keywords

multi-task learning (2) adversarial robustness (1) few-shot learning (1) transfer learning (1) domain adaptation (1) feature extraction (1) prompt learning (1) task balancing (1) convolutional neural network (1) recurrent neural network (1) parameter-efficient fine-tuning (1) low-rank adaptation (1) vision-language model (1) credit assignment (1) backpropagation through time (1) dense prediction (1) adversarial example (1) prompt tuning (1) vanishing gradient (1) frequency spectrum (1)

Papers

FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection CVPR 2026 Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization WACV 2025 One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024 The Importance of Anti-Aliasing in Tiny Object Detection ACML 2023 Registration Based Few-Shot Anomaly Detection ECCV 2022 Target Propagation in Recurrent Neural Networks JMLR 2020