Victor Sanh
13 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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The Questioner
(2)
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Conference Pioneer
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Research topics
Deep Learning
(9)
Artificial Intelligence
(7)
Machine Learning
(7)
Core AI
(7)
Natural Language Processing
(6)
Learning Types Β· Deep Learning
(5)
Resources & Methods
(5)
Application Areas
(4)
Learning Types Β· Machine Learning
(3)
Generation
(2)
Learning Paradigms
(2)
Models
(2)
Optimization & Theory
(2)
Techniques
(2)
Computer Science
(1)
Keywords
large language model
(4)
multi-task learning
(2)
vision-language model
(2)
zero-shot generalization
(2)
knowledge distillation
(2)
few-shot learning
(2)
transfer learning
(2)
transformer architecture
(2)
model pruning
(2)
multimodal learning
(2)
network pruning
(1)
model pretraining
(1)
prompt-based learning
(1)
out-of-distribution generalization
(1)
natural language processing
(1)
semantic similarity
(1)
named entity recognition
(1)
robust learning
(1)
hierarchical model
(1)
model interpretability
(1)
Papers
What matters when building vision-language models?
NeurIPS 2024
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
NeurIPS 2023
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
What Language Model to Train if You Have One Million GPU Hours?
EMNLP 2022
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
EMNLP 2021
Block Pruning For Faster Transformers
EMNLP 2021
Datasets: A Community Library for Natural Language Processing
EMNLP 2021
Learning from others' mistakes: Avoiding dataset biases without modeling them
ICLR 2021
Low-Complexity Probing via Finding Subnetworks
NAACL 2021
Movement Pruning: Adaptive Sparsity by Fine-Tuning
NeurIPS 2020
Transformers: State-of-the-Art Natural Language Processing
EMNLP 2020
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks
AAAI 2019