Jaewoong Cho

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Diffusion Model

Source Separation

Dirichlet Prior

Top Venues

Trans. Mach. Learn. Res.

Publications

Jimin Hong, Gibbeum Lee, Jaewoong Cho
A Simple Framework to Accelerate Multilingual Language Model for Monolingual Text Generation. CoRR (2024)
Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
Image Clustering Conditioned on Text Criteria. ICLR (2024)
Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris Papailiopoulos, Kangwook Lee
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding. Trans. Mach. Learn. Res. 2024 (2024)
Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu
Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model. CoRR (2024)
Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech. ICLR (2024)
Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks. CoRR (2024)
Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech. CoRR (2024)
Keon Lee, Dong Won Kim, Jaehyeon Kim, Jaewoong Cho
DiTTo-TTS: Efficient and Scalable Zero-Shot Text-to-Speech with Diffusion Transformer. CoRR (2024)
Inkyu Park, Jaewoong Cho
SAiD: Speech-driven Blendshape Facial Animation with Diffusion. CoRR (2024)
Jimin Hong, Gibbeum Lee, Jaewoong Cho
Accelerating Multilingual Language Model for Excessively Tokenized Languages. ACL (Findings) (2024)
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
Mini-Batch Optimization of Contrastive Loss. Trans. Mach. Learn. Res. 2024 (2024)
Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris S. Papailiopoulos, Kangwook Lee
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding. CoRR (2023)
Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
Image Clustering Conditioned on Text Criteria. CoRR (2023)
Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback. CoRR (2023)
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
Mini-Batch Optimization of Contrastive Loss. CoRR (2023)
Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback. NeurIPS (2023)
Jaechang Kim, Jeongyeon Hwang, Soheun Yi, Jaewoong Cho, Jungseul Ok
Addressing Feature Imbalance in Sound Source Separation. CoRR (2023)
Jaewoong Cho, Moonseok Choi, Changho Suh
Equal Experience in Recommender Systems. CoRR (2022)
Jaewoong Cho, Gyeongjo Hwang, Changho Suh
A Fair Classifier Using Mutual Information. ISIT (2020)
Jaewoong Cho, Gyeongjo Hwang, Changho Suh
A Fair Classifier Using Kernel Density Estimation. NeurIPS (2020)
Jaewoong Cho, Changho Suh
Wasserstein GAN Can Perform PCA. CoRR (2019)
Jaewoong Cho, Changho Suh
Wasserstein GAN Can Perform PCA. Allerton (2019)
Changho Suh, Jaewoong Cho, David Tse
Two-Way Interference Channel Capacity: How to Have the Cake and Eat It Too. IEEE Trans. Inf. Theory 64 (6) (2018)
Changho Suh, Jaewoong Cho, David Tse
Two-Way Interference Channel Capacity: How to Have the Cake and Eat it Too. CoRR (2017)
Changho Suh, Jaewoong Cho, David Tse
Two-way interference channel capacity: How to have the cake and eat it too. ISIT (2017)
Changho Suh, David Tse, Jaewoong Cho
To feedback or not to feedback. ISIT (2016)