2022 ICML에서 서울대학교 논문이 17편 채택되었다. 공과대학에서는 전기정보공학부 양인순 교수팀, 한보형 교수팀, 노종선 교수팀에서 각 1편, 윤성로 교수팀 4편이 채택되었으며, 컴퓨터공학부 송현오 교수팀 2편, 기계공학부 박종우 교수팀 1편이 채택 되었다. 융합과학기술대학원에서는 곽노준 교수팀에서 1편, 자연과학대학에서는 수리과학부 류경석 교수팀 3편, 통계학과 원중호 교수팀, 김용대 교수팀에서 각 1편, 데이터사이언스대학원에서는 이상학 교수팀 1편이 채택되었다. 

2022 ICML 채택 논문 

• Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis (Jungbin Kim · Insoon Yang) #양인순 교수팀
• Multi-Level Branched Regularization for Federated Learning (Jinkyu Kim · Geeho Kim · Bohyung Han) #한보형 교수팀
  
• Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions (Eunsang Lee (Seoul National University) · Joon-Woo Lee (Seoul National University) · Junghyun Lee (Seoul National University) · Young-Sik KIM (Chosun University) · Yongjune Kim (DGIST) · Jong-Seon No (Seoul National University) · Woosuk Choi (Samsung Advanced Institute of Technology)) #노종선 교수팀
  
• AutoSNN: Towards Energy-Efficient Spiking Neural Networks (Byunggook Na · Jisoo Mok · Seongsik Park · Dongjin Lee · Hyeokjun Choe · Sungroh Yoon) #윤성로 교수팀
  
• Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance (Heeseung Kim · Sungwon Kim · Sungroh Yoon) #윤성로 교수팀
  
• Confidence Score for Source-Free Unsupervised Domain Adaptation (Jonghyun Lee · Dahuin Jung · Junho Yim · Sungroh Yoon) #윤성로 교수팀
  
• Dataset Condensation with Contrastive Signals (Saehyung Lee · SANGHYUK CHUN · Sangwon Jung · Sangdoo Yun · Sungroh Yoon) #윤성로 교수팀
  
• Information-Intensive Dataset Condensation (Jang-Hyun Kim · Jinuk Kim · Seong Joon Oh · Sangdoo Yun · Hwanjun Song · Joonhyun Jeong · Jung-Woo Ha · Hyun Oh Song) #송현오 교수팀
  
• Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization (Deokjae Lee · Seungyong Moon · Junhyeok Lee · Hyun Oh Song) #송현오 교수팀
  
• A Statistical Manifold Framework for Point Cloud Data (Yonghyeon Lee · Seungyeon Kim · Jinwon Choi · Frank Chongwoo Park) #박종우 교수팀
  
• Variational On-the-Fly Personalization (Kim Jangho · Jun-Tae Lee · Simyung Chang · NOJUN KWAK) #곽노준 교수팀
  
• Neural Tangent Kernel Analysis of Deep Narrow Neural Networks (Jongmin Lee · Joo Young Choi · Ernest Ryu · Albert No ) #류경석 교수팀
  
• Exact Optimal Accelerated Complexity for Fixed-Point Iterations (Jisun Park · Ernest Ryu) #류경석 교수팀
  
• Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems (Jaewook Suh · Gyumin Roh · Ernest Ryu) #류경석 교수팀
• Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert (Yoonhyung Lee · Sungdong Lee · Joong-Ho (Johann) Won) #원중호 교수팀
• Learning fair representation with a parametric integral probability metric (Dongha Kim · Kunwoong Kim · InSung Kong · Ilsang Ohn · Yongdai Kim) #김용대 교수팀
  
• Counterfactual Transportability: A Formal Approach (Juan Correa (Universidad Autónoma de Manizales) · Sanghack Lee (Seoul National University) · Elias Bareinboim (Columbia)) #이상학 교수팀