Skip to content
conftrace_

Namhoon Lee

15 papers · 2017–2026 · 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

Jump to papers ↓
+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (21) 🌍 Conference Polyglot Β· Silver 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Sprint 🧭 Keyword Pioneer
πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (66)

Venues

ICLR (5) ICML (3) CVPR (2) ACL (1) ECCV (1) EMNLP (1) NeurIPS (1) UAI (1)

Top co-authors

Jaeho Lee (4) Jinseok Chung (3) Thalaiyasingam Ajanthan (3) Dongyeop Lee (3) Sungbin Shin (3) Philip H. S. Torr (3) Philip Torr (2) Wonpyo Park (1) Maksym Andriushchenko (1) Kris M. Kitani (1)

Research topics

Artificial Intelligence (9) Machine Learning (8) Core AI (8) Deep Learning (6) Optimization & Theory Β· Machine Learning (6) Application Areas (3) Techniques (3) Architectures (2) Learning Paradigms (2) Optimization & Theory Β· Deep Learning (2) Bayesian & Probabilistic (1) Core Methods (1)

Keywords

network pruning (2) large language model (2) generalization (2) trajectory prediction (2) model compression (2) connection sensitivity (2) game theory (1) few-shot learning (1) stochastic gradient (1) attention mechanism (1) weakly supervised learning (1) in-context learning (1) uncertainty quantification (1) neural network training (1) model interpretability (1) scene understanding (1) neural network optimization (1) parameter efficient (1) label noise (1) sharpness-aware minimization (1)

Papers

Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026 Critical Influence of Overparameterization on Sharpness-aware Minimization UAI 2025 SAFE: Finding Sparse and Flat Minima to Improve Pruning ICML 2025 Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation ICML 2025 ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models ICLR 2025 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers ECCV 2024 A Closer Look at the Intervention Procedure of Concept Bottleneck Models ICML 2023 Meta-Learning Sparse Implicit Neural Representations NeurIPS 2021 Understanding the effects of data parallelism and sparsity on neural network training ICLR 2021 A Signal Propagation Perspective for Pruning Neural Networks at Initialization ICLR 2020 SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY ICLR 2019 Learn to Pay Attention ICLR 2018 DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents CVPR 2017 Forecasting Interactive Dynamics of Pedestrians With Fictitious Play CVPR 2017