David Vázquez
33 papers · 2013–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (13) 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11)
🐝
Cross-Pollinator
(11)
🌈
Renaissance Researcher
(9)
🗺️
Taxonomy Completionist
(65)
👥
Mega-Team
(39)
🧬
Topic Evolution
🤝
Dynamic Duo
(12)
🏆
Grand Slam
⚡
Prolific Year
(6)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(32)
🗃️
Keyword Collector
(130)
🔥
Unstoppable
(8)
❓
The Questioner
Conferences
NIPS (7)
CVPR (4)
EMNLP (3)
ICCV (3)
ICLR (3)
WACV (3)
AAAI (2)
ICML (2)
ACL (1)
CORL (1)
EACL (1)
ECCV (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
self-supervised learning
(5)
transfer learning
(3)
large language model
(3)
image classification
(3)
code generation
(3)
knowledge graph completion
(2)
vision-language model
(2)
synthetic dataset
(2)
link prediction
(2)
semantic segmentation
(2)
representation learning
(2)
benchmark dataset
(2)
contrastive learning
(2)
multimodal large language model
(2)
data augmentation
(2)
anomaly detection
(2)
transformer architecture
(2)
object detection
(2)
domain adaptation
(2)
intent classification
(2)
Papers
StarFlow: Generating Structured Workflow Outputs From Sketch Images
EACL 2026
StarVector: Generating Scalable Vector Graphics Code from Images and Text
AAAI 2025
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
ICML 2025
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
ICLR 2025
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
EMNLP 2025
StarVector: Generating Scalable Vector Graphics Code from Images and Text
CVPR 2025
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
ICLR 2025
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
ICML 2024
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
EMNLP 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
NIPS 2024
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
NIPS 2024
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
EMNLP 2023
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
NIPS 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring
NIPS 2023
Group Robust Classification Without Any Group Information
NIPS 2023
Flaky Performances When Pretraining on Relational Databases (Student Abstract)
AAAI 2023
Constraining Representations Yields Models That Know What They Don't Know
ICLR 2023
Knowledge Hypergraph Embedding Meets Relational Algebra
JMLR 2023
OCR-VQGAN: Taming Text-Within-Image Generation
WACV 2023
Multi-Label Iterated Learning for Image Classification With Label Ambiguity
CVPR 2022
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
ACL 2022
Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data
ICCV 2021
A Weakly Supervised Consistency-Based Learning Method for COVID-19 Segmentation in CT Images
WACV 2021
Haptics-based Curiosity for Sparse-reward Tasks
CORL 2021
Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations
ICCV 2021
Learning Data Augmentation With Online Bilevel Optimization for Image Classification
WACV 2021
Synbols: Probing Learning Algorithms with Synthetic Datasets
NIPS 2020
Knowledge Hypergraphs: Prediction Beyond Binary Relations
IJCAI 2020
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
NIPS 2020
Context-Aware Visual Compatibility Prediction
CVPR 2019
Where are the blobs: Counting by Localization with Point Supervision
ECCV 2018
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
CVPR 2016
Random Forests of Local Experts for Pedestrian Detection
ICCV 2013