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20202026
most citedData-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

NVIDIA, :, Aakshita Chandiramani +544

We describe the pre-training, post-training, and quantization of Nemotron 3 Super, a 120 billion (active 12 billion) parameter hybrid Mamba-Attention Mixture-of-Experts model. Nemo…

cs.LG2026

Persistent Tri-State Message Passing

Yoonhyuk Choi, Jiho Choi, Chong-Kwon Kim +6

In stochastic message passing, an edge's sampled role changes the node states used to compute adaptive weights at later layers. Weight averaging therefore depends on whether edge r…

cs.CV2024★ 2 cited

InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation

Chanran Kim, Jeongin Lee, Shichang Joung +2

In the field of personalized image generation, the ability to create images preserving concepts has significantly improved. Creating an image that naturally integrates multiple con…

cs.CV2022★ 1 cited

StyLandGAN: A StyleGAN based Landscape Image Synthesis using Depth-map

Gunhee Lee, Jonghwa Yim, Chanran Kim +1

Despite recent success in conditional image synthesis, prevalent input conditions such as semantics and edges are not clear enough to express `Linear (Ridges)' and `Planar (Scale)'…

cs.CV2020★ 3 cited

Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble

Byeongjo Kim, Chanran Kim, Jaehoon Lee +2

In general, sufficient data is essential for the better performance and generalization of deep-learning models. However, lots of limitations(cost, resources, etc.) of data collecti…