---
title: Sony AI Reveals New Research Contributions at NeurIPS 2023
description: 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 a...
---

[Blog | Sony AI ](https://ai.sony/blog)

# [Sony AI Reveals New Research Contributions at NeurIPS 2023](https://ai.sony/blog/sony-ai-reveals-new-research-contributions-at-neurips-2023)

 Written by [Admin](https://ai.sony/blog/author/admin) | Dec 13, 2023 5:00:00 AM

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](https://ai.sony/publications/Expert-Human-Level-Driving-in-Gran-Turismo-Sport-Using-Deep-Reinforcement-Learning-with-Image-based-Representation/) for expert human-level driving control in a racing simulation game; [metrics for measuring bias amplification](https://ai.sony/publications/Men-Also-Do-Laundry-Multi-Attribute-Bias-Amplification/); and [a novel one-shot federated learning framework](https://ai.sony/publications/DENSE-Data-Free-One-Shot-Federated-Learning/).

This year, at [NeurIPS 2023](https://nips.cc/) 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/](https://research.sony/conferences/neurips2023/)

**Sony AI Oral Presentations**

- [Ethical Considerations for Responsible Data Curation](https://nips.cc/virtual/2023/oral/73743)

**Sony AI Invited Keynote**

- [When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions](https://federated-learning.org/fl@fm-neurips-2023/)

****

**Sony AI Spotlight Papers**

- [Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?](https://nips.cc/virtual/2023/poster/71059)

****

**Sony AI Poster Presentations**

- [Where Did I Come From? Origin Attribution of AI-Generated Images](https://nips.cc/virtual/2023/poster/70868)

- [UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition](https://nips.cc/virtual/2023/poster/72617)

- [Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning](https://nips.cc/virtual/2023/poster/70366)

- [Towards Personalized Federated Learning via Heterogeneous Model Reassembly](https://nips.cc/virtual/2023/poster/69876)

- [STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events](https://nips.cc/virtual/2023/poster/73604)

- [Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release](https://neurips.cc/virtual/2023/poster/72912)

****

**Sony AI Workshop Presentations**

- [Privacy-preserving design of graph neural networks with applications to vertical federated learning](https://nips.cc/virtual/2023/82362)

- [FRUNI and FTREE: Synthetic knowledge graphs for evaluating explainability](https://nips.cc/virtual/2023/75172)

**Affiliated Sony AI Posters**

- [LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning](https://nips.cc/virtual/2023/poster/73415)

- [f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences](https://nips.cc/virtual/2023/poster/72302)

- [ELDEN: Exploration via Local Dependencies](https://nips.cc/virtual/2023/poster/70276)

- [FAMO: Fast Adaptive Multitask Optimization](https://nips.cc/virtual/2023/poster/69900)

****

**Affiliated Sony AI Workshop Presentations**

- [Latent Skill Discovery for Chain-of-Thought Reasoning](https://nips.cc/virtual/2023/workshop/66517)

- [t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making](https://nips.cc/virtual/2023/workshop/66527)

- [Efficient infusion of self-supervised representations in Automatic Speech Recognition](https://nips.cc/virtual/2023/workshop/66532)

[View full post](https://ai.sony/blog/sony-ai-reveals-new-research-contributions-at-neurips-2023)

```json
{
  "@context" : "http://schema.org",
  "@type" : "BlogPosting",
  "author" : {
    "@type" : "Person",
    "name" : "Admin"
  },
  "dateModified" : "2026-03-04T12:13:36.518Z",
  "datePublished" : "2023-12-13T05:00:00Z",
  "headline" : "Sony AI Reveals New Research Contributions at NeurIPS 2023",
  "image" : {
    "@type" : "ImageObject",
    "height" : 330,
    "url" : "https://242443477.fs1.hubspotusercontent-na2.net/hubfs/242443477/Imported_Blog_Media/Blog_41_TN-thumb-330x330-588-1.jpg",
    "width" : 330
  },
  "mainEntityOfPage" : "https://ai.sony/blog/sony-ai-reveals-new-research-contributions-at-neurips-2023",
  "publisher" : {
    "@type" : "Organization",
    "logo" : {
      "@type" : "ImageObject",
      "height" : 60,
      "url" : "/hs/hsstatic/content_shared_assets/static-1.4092/img/default-amp-logo.png",
      "width" : 60
    },
    "name" : "Blog"
  }
}
```