Rumen Dangovski
11 papers · 2020–2024 · 7 venues · across top CS/AI venues
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32) π Grand Slam π€ Dynamic Duo (10)
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Research topics
Machine Learning
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Deep Learning
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Artificial Intelligence
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Natural Language Processing
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Learning Types Β· Deep Learning
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Optimization & Theory Β· Machine Learning
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Optimization & Theory Β· Deep Learning
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Resources & Methods
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Techniques
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Keywords
contrastive learning
(3)
representation learning
(3)
model compression
(2)
large language model
(2)
text generation
(1)
ensemble learning
(1)
generative modeling
(1)
efficient computing
(1)
attention mechanism
(1)
neural machine translation
(1)
self-supervised learning
(1)
masked language model
(1)
autoregressive generation
(1)
language modeling
(1)
model architecture
(1)
document understanding
(1)
quantum computing
(1)
parameter-efficient learning
(1)
uncertainty quantification
(1)
image classification
(1)
Papers
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks
COLING 2024
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
NeurIPS 2024
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Alignment of Embeddings
COLING 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
NeurIPS 2024
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
ICML 2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
ICML 2023
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
NeurIPS 2023
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
NAACL 2022
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
ICLR 2022
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale
AAAI 2021
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications
EMNLP 2020