Daniel Campos
7 papers · 2019–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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Research topics
Artificial Intelligence
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Machine Learning
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Natural Language Processing
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Applications
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Core AI
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Deep Learning
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Resources & Methods
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Generation
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Models
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Understanding
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Keywords
knowledge distillation
(2)
neural network compression
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neural network pruning
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zero-shot learning
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multi-task learning
(1)
text classification
(1)
bert compression
(1)
natural language generation
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document understanding
(1)
natural language understanding
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weak supervision
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model pruning
(1)
second-order optimization
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sparse model
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benchmark dataset
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pre-trained model
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visual feature
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multilingual model
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keyphrase extraction
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cross-lingual pre-training
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Papers
Compressing Cross-Lingual Multi-Task Models at Qualtrics
AAAI 2023
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes
ACL 2023
Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders
ACL 2023
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency
ACL 2023
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models
EMNLP 2022
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
EMNLP 2020
Open Domain Web Keyphrase Extraction Beyond Language Modeling
EMNLP 2019