Jun Seo

6 papers · 2019–2026 · 4 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 ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ICML (3) ACL (1) ICLR (1) NeurIPS (1)

Top co-authors

Jaekyun Moon (5) Do-Yeon Kim (4) Dong-Jun Han (3) Sung Whan Yoon (2) Seonjeong Hwang (1) Hyounghun Kim (1) Younghyun Park (1) Gary Lee (1)

Research topics

Artificial Intelligence (5) Learning Paradigms (4) Machine Learning (3) Deep Learning (1) Natural Language Processing (1) Application Areas (1) Architectures (1) Core AI (1) Core Methods (1) Generation (1) Learning Types (1)

Keywords

few-shot learning (4) federated learning (2) metric learning (1) feature extraction (1) embedding space (1) incremental learning (1) class-incremental learning (1) reading comprehension (1) communication efficiency (1) weight space (1) parameter space (1) orthogonal transformation (1) model initialization (1) multi-agent framework (1) task-adaptive projection (1) gradient sparsification (1) task-adaptive representation (1) difficulty control (1) neural network (1) item generation (1)

Papers

A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation ACL 2026 Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning ICML 2024 Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning ICLR 2023 Few-Round Learning for Federated Learning NeurIPS 2021 XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning ICML 2020 TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019