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Sony AI Reveals New Research Contributions at NeurIPS 2023

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December 13, 2023

Sony Group Corporation and Sony AI have been active participants in the annual NeurIPS Conference for years, contributing pivotal research that has helped to propel the fields of artificial intelligence and machine learning forward. These contributions have included — but are certainly not limited to — a vision-based control algorithm for expert human-level driving control in a racing simulation game; metrics for measuring bias amplification; and a novel one-shot federated learning framework.

This year, at NeurIPS 2023 in New Orleans (December 10-16), the Sony AI team will be unveiling more than a dozen new exciting pieces of research related to ethical data collection, privacy, federated learning, sound events, knowledge graph embeddings (KGE), and more. See a listing of our newest contributions below.

If you are attending NeurIPS 2023, don't miss our oral presentations and poster sessions. Make sure you also drop by the Sony AI booth to say hello and learn more about our work.

For more information about Sony AI’s participation, visit: https://research.sony/conferences/neurips2023/

Sony AI Oral Presentations

  • Ethical Considerations for Responsible Data Curation
    • Presenter: Jerone Andrews (Sony AI)
    • Authors: Jerone Andrews (Sony AI), Dora Zhao (Sony AI), William Thong (Sony AI), Apostolos Modas (Sony AI), Orestis Papakyriakopoulos (Sony AI), Alice Xiang (Sony AI)
    • Date & Time: Thursday, December 14, 11:30 - 11:45 a.m. EST
    • Location: Main Conference, Great Hall & Hall B1+B2 #1602

Sony AI Invited Keynote

Sony AI Spotlight Papers

Sony AI Poster Presentations

  • Where Did I Come From? Origin Attribution of AI-Generated Images
    • Authors: Lingjuan Lyu (Sony AI), Zhenting Wang (Rutgers University, Sony AI intern), Chen Chen (Sony AI), Yi Zeng (Virginia Tech, Sony AI intern), Shiqing Ma (UMass Amherst)
    • Date & Time: Tuesday, December 12, 11:45 a.m. - 1:45 p.m. EST
    • Location: Main Conference, Great Hall & Hall B1+B2 #1624

  • UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
    • Authors: Lingjuan Lyu (Sony AI), Yuyuan Li (Zhejiang University), Chaochao Chen (Zhejiang University), Yizhao Zhang (Zhejiang University), Weiming Liu (Zhejiang University), Xiaolin Zheng (Zhejiang University), Dan Meng (OPPO Research Institute), Jun Wang, (OPPO Research Institute)
    • Date & Time: Tuesday, December 12, 6:15 - 8:15 p.m. EST
    • Location: Main Conference, Great Hall & Hall B1+B2 #1520

  • Towards Personalized Federated Learning via Heterogeneous Model Reassembly
    • Authors: Lingjuan Lyu (Sony AI), Jiaqi Wang (Pennsylvania State University),Xingyi Yang, (National University of Singapore), Suhan Cui (Pennsylvania State University), Liwei Che (Pennsylvania State University), Dongkuan Xu (North Carolina State University), Fenglong Ma (Pennsylvania State University)
    • Date & Time: Thursday, December 14, 6 - 8 p.m. EST
    • Location: Main Conference, Great Hall & Hall B1+B2 #1218

  • STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
    • Authors: Yuki Mitsufuji (Sony AI), Kazuki Shimada (Sony AI), Archontis Politis (Tampere University), Parthasaarathy Sudarsanam (Tampere University), Daniel A. Krause (Tampere University), Kengo Uchida (Sony Group Corporation), Sharath Adavanne (Tampere University), Aapo Hakala (Tampere University), Yuichiro Koyama (Sony Group Corporation), Naoya Takahashi (Sony Group Corporation), Shusuke Takahashi (Tohoku University), Tuomas Virtanen (Tampere University)
    • Date & Time: Thursday, December 14, 6 - 8 p.m. EST
    • Location: Main Conference, Great Hall & Hall B1+B2 #119

Sony AI Workshop Presentations

Affiliated Sony AI Posters

  • LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
    • Authors: Peter Stone (Sony AI, The University of Texas at Austin), Bo Liu (University of Texas, Austin), Yifeng Zhu (University of Texas, Austin), Chongkai Gao (Tsinghua University), Yihao Feng (Salesforce Research), Qiang Liu (University of Texas, Austin), Yuke Zhu (University of Texas, Austin)
    • Date & Time: Tuesday, December 12, 11:45 a.m. - 1:45 p.m. EST
    • Location: Main Conference, Great Hall & Hall B1+B2 #1414

  • ELDEN: Exploration via Local Dependencies
    • Authors: Peter Stone (Sony AI, The University of Texas at Austin), Zizhao Wang (University of Texas, Austin), Jiaheng Hu (University of Texas, Austin), Roberto Martín-Martín (University of Texas, Austin)
    • Date & Time: Thursday, December 14, 11:45 a.m. - 1:45 p.m. EST
    • Location: Main Conference, Great Hall & Hall B1+B2 #1423

  • FAMO: Fast Adaptive Multitask Optimization
    • Authors: Peter Stone (Sony AI, The University of Texas at Austin), Bo Liu (University of Texas, Austin), Yihao Feng (Salesforce Research), Qiang Liu (University of Texas, Austin)
    • Date & Time: Thursday, December 14, 6 - 8 p.m. EST
    • Location: Main Conference, Great Hall & Hall B1+B2 #1221

Affiliated Sony AI Workshop Presentations

  • Latent Skill Discovery for Chain-of-Thought Reasoning
    • Authors: Peter Stone (Sony AI, University of Texas at Austin), Zifan Xu (The University Texas at Austin)· Haozhu Wang (Amazon), Dmitriy Bespalov (Amazon), Yanjun Qi (Amazon)
    • Date & Time: Friday, December 15, 9:50 a.m. EST
    • Location: Workshop on robustness of zero/few-shot learning in foundation models (R0-FoMo)

  • Efficient infusion of self-supervised representations in Automatic Speech Recognition
    • Authors: Darshan Prabhu (Sony Research India), Saiganesh Mirishkar (Sony Research India), Pankaj Wasnik (Sony Research India)
    • Date & Time: Saturday, December 16, 9:15 a.m. EST
    • Location: Third Workshop on Efficient Natural Language and Speech Processing (ENLSP-III): Towards the Future of Large Language Models and their Emerging Descendants

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