Kim, Jae-Joon

13 publications

NeurIPS 2025 Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning Jiwon Song, Dongwon Jo, Yulhwa Kim, Jae-Joon Kim

NeurIPS 2024 Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim

ICML 2024 SLEB: Streamlining LLMs Through Redundancy Verification and Elimination of Transformer Blocks Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim

ICCV 2023 INSTA-BNN: Binary Neural Network with INSTAnce-Aware Threshold Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim

NeurIPS 2023 Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim

WACV 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim

ICMLW 2023 Squeezing Large-Scale Diffusion Models for Mobile Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim

ICLR 2023 Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim

CVPR 2021 Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim

ICLR 2020 BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim

NeurIPS 2020 Unifying Activation- and Timing-Based Learning Rules for Spiking Neural Networks Jinseok Kim, Kyungsu Kim, Jae-Joon Kim

ICLR 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim

ICLR 2018 Viterbi-Based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I. Chuang, Jae-Joon Kim