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Hieu Pham

18 papers · 2015–2026 · 8 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

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (38) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Grand Slam 🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (92) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

ICML (5) ICLR (4) EMNLP (3) NeurIPS (2) AAAI (1) CVPR (1) EACL (1) UAI (1)

Top co-authors

Xinyi Wang (5) Graham Neubig (5) Quoc Le (4) Thang Luong (3) Jeff Dean (3) Quoc V. Le (3) Kenji Kawaguchi (2) Azalia Mirhoseini (2) Yifeng Lu (2) Vikas Verma (2)

Research topics

Deep Learning (11) Machine Learning (11) Optimization & Theory Β· Machine Learning (6) Artificial Intelligence (5) Core AI (5) Learning Types Β· Machine Learning (5) Natural Language Processing (4) Application Areas (4) Applications (4) Learning Types Β· Deep Learning (4) Optimization & Theory Β· Deep Learning (3) Techniques (3) Architectures (2) Core Methods (2) Computer Science (1)

Keywords

neural machine translation (4) computational graph (2) contrastive learning (2) reinforcement learning (2) data augmentation (2) semi-supervised learning (1) knowledge distillation (1) representation learning (1) self-supervised learning (1) pseudo labeling (1) function approximation (1) policy gradient (1) multilingual translation (1) language modeling (1) syntactic parsing (1) neural network training (1) dependency parsing (1) neural architecture search (1) image classification (1) active learning (1)

Papers

HiGraAgent: Dual-Agent Adaptive Reasoning over Hierarchical Knowledge Graph for Open Domain Multi-hop Question Answering EACL 2026 NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions ICLR 2025 DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining NeurIPS 2023 MixupE: Understanding and improving Mixup from directional derivative perspective UAI 2023 Symbolic Discovery of Optimization Algorithms NeurIPS 2023 AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021 Meta Back-Translation ICLR 2021 Meta Pseudo Labels CVPR 2021 Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision ICML 2021 Towards Domain-Agnostic Contrastive Learning ICML 2021 Optimizing Data Usage via Differentiable Rewards ICML 2020 Multilingual Neural Machine Translation With Soft Decoupled Encoding ICLR 2019 A Hierarchical Model for Device Placement ICLR 2018 A Tree-based Decoder for Neural Machine Translation EMNLP 2018 Efficient Neural Architecture Search via Parameters Sharing ICML 2018 SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation EMNLP 2018 Device Placement Optimization with Reinforcement Learning ICML 2017 Effective Approaches to Attention-based Neural Machine Translation EMNLP 2015