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2020 – today
- 2024
[j3]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)- [j2]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) - [c11]Jimin Hong, Gibbeum Lee, Jaewoong Cho:
Accelerating Multilingual Language Model for Excessively Tokenized Languages. ACL (Findings) 2024: 11095-11111 - [c10]Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho:
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech. ICLR 2024 - [c9]Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee:
Image Clustering Conditioned on Text Criteria. ICLR 2024 - [c8]Tae Hong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee:
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models. ICML 2024 - [c7]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. ICML 2024 - [i22]Inkyu Park, Jaewoong Cho:
SAiD: Speech-driven Blendshape Facial Animation with Diffusion. CoRR abs/2401.08655 (2024) - [i21]Jimin Hong, Gibbeum Lee, Jaewoong Cho:
A Simple Framework to Accelerate Multilingual Language Model for Monolingual Text Generation. CoRR abs/2401.10660 (2024) - [i20]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 abs/2402.04248 (2024) - [i19]Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho:
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech. CoRR abs/2404.02781 (2024) - [i18]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 abs/2405.03958 (2024) - [i17]Keon Lee, Dong Won Kim, Jaehyeon Kim, Jaewoong Cho:
DiTTo-TTS: Efficient and Scalable Zero-Shot Text-to-Speech with Diffusion Transformer. CoRR abs/2406.11427 (2024) - [i16]Tae Hong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee:
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models. CoRR abs/2408.05927 (2024) - [i15]Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu:
Task Diversity Shortens the ICL Plateau. CoRR abs/2410.05448 (2024) - [i14]In-Young Cho, Jaewoong Cho:
Fast and Accurate Neural Rendering Using Semi-Gradients. CoRR abs/2410.10149 (2024) - [i13]Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok:
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation. CoRR abs/2410.20811 (2024) - [i12]Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho:
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance. CoRR abs/2410.22376 (2024) - [i11]Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho:
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models. CoRR abs/2411.00686 (2024) - [i10]Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos:
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries. CoRR abs/2412.08890 (2024) - [i9]Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho:
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens. CoRR abs/2412.10208 (2024) - 2023
- [c6]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 - [i8]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 abs/2307.02770 (2023) - [i7]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 abs/2307.05906 (2023) - [i6]Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris S. Papailiopoulos, Kangwook Lee:
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding. CoRR abs/2307.05908 (2023) - [i5]Jaechang Kim, Jeongyeon Hwang, Soheun Yi, Jaewoong Cho, Jungseul Ok:
Addressing Feature Imbalance in Sound Source Separation. CoRR abs/2309.05287 (2023) - [i4]Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee:
Image Clustering Conditioned on Text Criteria. CoRR abs/2310.18297 (2023) - 2022
- [i3]Jaewoong Cho, Moonseok Choi, Changho Suh:
Equal Experience in Recommender Systems. CoRR abs/2210.05936 (2022) - 2020
- [c5]Jaewoong Cho, Gyeongjo Hwang, Changho Suh:
A Fair Classifier Using Mutual Information. ISIT 2020: 2521-2526 - [c4]Jaewoong Cho, Gyeongjo Hwang, Changho Suh:
A Fair Classifier Using Kernel Density Estimation. NeurIPS 2020
2010 – 2019
- 2019
- [c3]Jaewoong Cho, Changho Suh
:
Wasserstein GAN Can Perform PCA. Allerton 2019: 895-901 - [i2]Jaewoong Cho, Changho Suh:
Wasserstein GAN Can Perform PCA. CoRR abs/1902.09073 (2019) - 2018
- [j1]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): 4259-4281 (2018) - 2017
- [c2]Changho Suh, Jaewoong Cho, David Tse:
Two-way interference channel capacity: How to have the cake and eat it too. ISIT 2017: 634-638 - [i1]Changho Suh, Jaewoong Cho, David Tse:
Two-Way Interference Channel Capacity: How to Have the Cake and Eat it Too. CoRR abs/1709.00675 (2017) - 2016
- [c1]Changho Suh, David Tse, Jaewoong Cho:
To feedback or not to feedback. ISIT 2016: 290-294
Coauthor Index
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