Po-Sen Huang
18 papers · 2017–2022 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (47) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(3)
🤝
Dynamic Duo
(10)
🧬
Topic Evolution
🧭
Keyword Pioneer
📈
Trend Setter
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
🗃️
Keyword Collector
(93)
🚀
Conference Pioneer
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(11)
Deep Learning
(9)
Core AI
(9)
Natural Language Processing
(8)
Learning Types · Machine Learning
(8)
Learning Types · Deep Learning
(7)
Applications
(6)
Application Areas
(4)
Architectures
(3)
Generation
(3)
Reinforcement Learning
(2)
Core Methods
(2)
Learning Paradigms
(2)
Methods
(2)
Keywords
adversarial robustness
(4)
text generation
(3)
adversarial training
(3)
transfer learning
(2)
language model
(2)
neural machine translation
(2)
adversarial attack
(2)
formal verification
(2)
domain adaptation
(2)
sequence modeling
(2)
reinforcement learning
(2)
interval bound propagation
(2)
large language model
(2)
monte carlo tree search
(2)
recurrent neural network
(2)
toxicity detection
(2)
knowledge distillation
(1)
attention mechanism
(1)
few-shot learning
(1)
self-supervised learning
(1)
Papers
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
NeurIPS 2022
Challenges in Detoxifying Language Models
EMNLP 2021
Self-supervised Adversarial Robustness for the Low-label, High-data Regime
ICLR 2021
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
CVPR 2020
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
EMNLP 2020
The DeepMind Chinese–English Document Translation System at WMT2020
EMNLP 2020
Towards Robust Image Classification Using Sequential Attention Models
CVPR 2020
Towards Verified Robustness under Text Deletion Interventions
ICLR 2020
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
EMNLP 2019
Are Labels Required for Improving Adversarial Robustness?
NeurIPS 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications
CVPR 2019
Learning Transferable Graph Exploration
NeurIPS 2019
Discourse-Aware Neural Rewards for Coherent Text Generation
NAACL 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
NeurIPS 2018
Natural Language to Structured Query Generation via Meta-Learning
NAACL 2018
Towards Neural Phrase-based Machine Translation
ICLR 2018
Sequence Modeling via Segmentations
ICML 2017
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
EMNLP 2017