Edouard Grave
33 papers · 2011–2025 · 12 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (66) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
β
The Questioner
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(9)
ποΈ
Keyword Collector
(148)
Venues
Top co-authors
Research topics
Natural Language Processing
(18)
Deep Learning
(17)
Artificial Intelligence
(15)
Machine Learning
(13)
Core AI
(11)
Learning Types Β· Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Architectures
(7)
Generation
(7)
Resources & Methods
(7)
Applications
(6)
Learning Paradigms
(6)
Core Methods
(5)
Application Areas
(4)
Models
(3)
Keywords
language model
(4)
language modeling
(4)
question answering
(3)
word embedding
(3)
machine translation
(3)
few-shot learning
(2)
transformer architecture
(2)
bilingual lexicon
(2)
information retrieval
(2)
orthogonal matrix
(2)
knowledge distillation
(2)
cross-lingual transfer
(2)
efficient computing
(2)
text editing
(2)
feature selection
(1)
text classification
(1)
convex optimization
(1)
efficient training
(1)
domain adaptation
(1)
data augmentation
(1)
Papers
High-Fidelity Simultaneous Speech-To-Speech Translation
ICML 2025
Neutral residues: revisiting adapters for model extension
ICML 2025
EditEval: An Instruction-Based Benchmark for Text Improvements
CoNLL 2024
Time Sensitive Knowledge Editing through Efficient Finetuning
ACL 2024
Atlas: Few-shot Learning with Retrieval Augmented Language Models
JMLR 2023
PEER: A Collaborative Language Model
ICLR 2023
Flashlight: Enabling Innovation in Tools for Machine Learning
ICML 2022
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web
ACL 2021
Distilling Knowledge from Reader to Retriever for Question Answering
ICLR 2021
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
EACL 2021
Self-training Improves Pre-training for Natural Language Understanding
NAACL 2021
Training with Quantization Noise for Extreme Model Compression
ICLR 2021
Depth-Adaptive Transformer
ICLR 2020
Reducing Transformer Depth on Demand with Structured Dropout
ICLR 2020
Unsupervised Cross-lingual Representation Learning at Scale
ACL 2020
Adaptive Attention Span in Transformers
ACL 2019
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
ACL 2019
Donβt Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction
EMNLP 2019
Misspelling Oblivious Word Embeddings
NAACL 2019
Training Hybrid Language Models by Marginalizing over Segmentations
ACL 2019
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
AISTATS 2019
Unsupervised Hyper-alignment for Multilingual Word Embeddings
ICLR 2019
Colorless Green Recurrent Networks Dream Hierarchically
NAACL 2018
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
EMNLP 2018
Bag of Tricks for Efficient Text Classification
EACL 2017
Parseval Networks: Improving Robustness to Adversarial Examples
ICML 2017
Unbounded cache model for online language modeling with open vocabulary
NeurIPS 2017
A convex and feature-rich discriminative approach to dependency grammar induction
ACL 2015
Weakly-Supervised Alignment of Video With Text
ICCV 2015
A convex relaxation for weakly supervised relation extraction
EMNLP 2014
A Markovian approach to distributional semantics with application to semantic compositionality
COLING 2014
Hidden Markov tree models for semantic class induction
CoNLL 2013
Trace Lasso: a trace norm regularization for correlated designs
NeurIPS 2011