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논문 174개
# Breakthrough in Neural Scaling Law
HOT: Hadamard-based Optimized Training
Seonggon Kim, Juncheol Shin, Seung-taek Woo, Eunhyeok Park ·
CVPR
· 2025
# Breakthrough in Neural Scaling Law
Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
Jabin Koo, Minwoo Jang, Jungseul Ok ·
ACL
· 2025
# Breakthrough in Neural Scaling Law
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models
Sungjae Lee, Hyejin Park, Jaechang Kim, Jungseul Ok ·
ACL
· 2025
# Breakthrough in Neural Scaling Law
Comparison-based Active Preference Learning for Multi-dimensional Personalization
Minhyeon Oh, Seungjoon Lee, Jungseul Ok ·
ACL
· 2025
# Breakthrough in Neural Scaling Law
LOCALITY-AWARE GAUSSIAN COMPRESSION FOR FAST AND HIGH-QUALITY RENDERING
Seungjoo Shin, Jaesik Park, Sunghyun Cho ·
ICLR
· 2025
# Breakthrough in Neural Scaling Law
Exploiting Deblurring Networks for Radiance Fields
Haeyun Choi, Heemin Yang, Janghyeok Han, Sunghyun Cho ·
CVPR
· 2025
# Breakthrough in Neural Scaling Law
Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model
Nuri Ryu, Jiyun Won, Jooeun Son, Minsu Gong, Joo-Haeng Lee, Sunghyun Cho ·
SIGGRAPH
· 2025
# Breakthrough in Neural Scaling Law
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee ·
SIGIR
· 2025
# Breakthrough in Neural Scaling Law
Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation
Dogyun Park, Taehoon Lee, Minseok Joo, Hyunwoo J. Kim ·
NeurIPS
· 2025
# Breakthrough in Neural Scaling Law
Representation Shift: Unifying Token Compression with FlashAttention
Joonmyung Choi, Sanghyeok Lee, Byungoh Ko, Eunseo Kim, Jihyung Kil, Hyunwoo J. Kim ·
ICCV
· 2025
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