Seanie Lee
24 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Cross-Pollinator (11) π§ Keyword Pioneer π Conference Polyglot (8) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(35)
π€
Dynamic Duo
(19)
π±
Topic Pioneer
π
Triple Crown
ποΈ
Keyword Collector
(79)
π
Trend Setter
π₯
Unstoppable
(7)
β‘
Prolific Year
(5)
π
Century Club
(24)
Conferences
ICLR (9)
ICML (4)
ACL (3)
NIPS (3)
EMNLP (2)
IJCNLP (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Keywords
question answering
(5)
knowledge distillation
(2)
set encoding
(2)
pretrained language model
(2)
domain generalization
(2)
data augmentation
(2)
out-of-distribution generalization
(2)
word embedding
(2)
large language model
(2)
few-shot learning
(1)
bayesian inference
(1)
feature extraction
(1)
feature learning
(1)
model distillation
(1)
model extraction attack
(1)
domain adaptation
(1)
adversarial training
(1)
variational inference
(1)
semi-supervised learning
(1)
kl divergence
(1)
Papers
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
ACL 2025
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
ICLR 2025
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
ICLR 2025
Drug Discovery with Dynamic Goal-aware Fragments
ICML 2024
Self-Supervised Dataset Distillation for Transfer Learning
ICLR 2024
Optimized Speculative Sampling for GPU Hardware Accelerators
EMNLP 2024
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
ICLR 2024
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries
NAACL 2024
Self-Distillation for Further Pre-training of Transformers
ICLR 2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
NIPS 2023
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
ICLR 2023
Margin-based Neural Network Watermarking
ICML 2023
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
ICML 2023
Set Based Stochastic Subsampling
ICML 2022
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
ICLR 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning
NIPS 2022
On Divergence Measures for Bayesian Pseudocoresets
NIPS 2022
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
ICLR 2021
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
ICLR 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
ACL 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
IJCNLP 2021
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset
INTERSPEECH 2020
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
ACL 2020
Domain-agnostic Question-Answering with Adversarial Training
EMNLP 2019