Payal Bajaj
10 papers · 2017–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (15) π Academic Marathon (6) π Renaissance Researcher (5) π Interdisciplinary Bridge
π
Conference Polyglot
(6)
πΊοΈ
Taxonomy Completionist
(22)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club
(10)
Conferences
NIPS (4)
ACL (2)
EACL (1)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
cross-lingual language model
(2)
cross-lingual transfer
(2)
continual learning
(1)
link prediction
(1)
multi-task learning
(1)
probabilistic modeling
(1)
structure learning
(1)
embedding learning
(1)
self-supervised learning
(1)
multimodal learning
(1)
toxicity detection
(1)
weak supervision
(1)
low-dimensional embedding
(1)
static analysis
(1)
generative model
(1)
knowledge graph embedding
(1)
language model
(1)
foundation model
(1)
group fairness
(1)
mixture of expert
(1)
Papers
Performance and Risk Trade-offs for Multi-word Text Prediction at Scale
EACL 2023
Magneto: A Foundation Transformer
ICML 2023
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers
ACL 2023
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
ICLR 2022
On the Representation Collapse of Sparse Mixture of Experts
NIPS 2022
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
ACL 2022
Language Scaling for Universal Suggested Replies Model
NAACL 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
NIPS 2021
Embedding Logical Queries on Knowledge Graphs
NIPS 2018
Inferring Generative Model Structure with Static Analysis
NIPS 2017