Seanie Lee
24 papers · 2019–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (55) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Triple Crown
π€
Dynamic Duo
(18)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(128)
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(11)
Deep Learning
(10)
Learning Types Β· Machine Learning
(9)
Application Areas
(8)
Natural Language Processing
(7)
Core AI
(7)
Learning Paradigms
(6)
Applications
(5)
Learning Types Β· Deep Learning
(5)
Models
(4)
Optimization & Theory
(4)
Core Methods
(3)
Techniques
(3)
Speech & Audio
(2)
Keywords
large language model
(4)
question answering
(4)
knowledge distillation
(4)
data augmentation
(2)
contrastive learning
(2)
domain generalization
(2)
dataset distillation
(2)
bilevel optimization
(2)
model compression
(2)
set encoding
(2)
self-supervised learning
(2)
representation learning
(2)
variational autoencoder
(2)
few-shot learning
(1)
reinforcement learning
(1)
feature learning
(1)
multi-task learning
(1)
unsupervised learning
(1)
vision transformer
(1)
feature extraction
(1)
Papers
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
ICLR 2025
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
ICLR 2025
Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition
Interspeech 2025
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
ACL 2025
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
ICLR 2024
Drug Discovery with Dynamic Goal-aware Fragments
ICML 2024
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries
NAACL 2024
Optimized Speculative Sampling for GPU Hardware Accelerators
EMNLP 2024
Self-Supervised Dataset Distillation for Transfer Learning
ICLR 2024
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
NeurIPS 2023
Margin-based Neural Network Watermarking
ICML 2023
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
ICML 2023
Self-Distillation for Further Pre-training of Transformers
ICLR 2023
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
ICLR 2023
On Divergence Measures for Bayesian Pseudocoresets
NeurIPS 2022
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
ICLR 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning
NeurIPS 2022
Set Based Stochastic Subsampling
ICML 2022
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
ICLR 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
ACL 2021
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
ICLR 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