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  • Vancouver, Canada

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NeurIPS 2024

November 10-15, 2024

NeurIPS 2024

Vancouver, Canada

The Thirty-Eighth Annual Conference on Neural Information Processing Systems

The conference was founded in 1987 and is now a multi-track interdisciplinary annual meeting that includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice, a series of tutorials, and topical workshops that provide a less formal setting for the exchange of ideas.


Workshop

Workshop 01

Audio Imagination: NeurIPS 2024 Workshop on AI-Driven Speech, Music, and Sound Generation

Generative AI has been at the forefront of AI research in recent times, with numerous studies showcasing remarkable and surprising generation capabilities across various modalities such as text, image, and audio. Audio Imagination Workshop at NeurIPS 2024 aims to bring the latest advancements in generative AI focusing on audio generation. Audio generation presents unique challenges due to the nature of the audio signal, its perception by humans, and its relationship with other modalities like text and visuals. Modern generative methods have brought about new opportunities for solving well-studied audio generation problems, such as text-to-speech synthesis, while also leading to explorations of exciting new problems. The workshop seeks to bring together researchers working on different audio generation problems and facilitate concentrated discussions on the topic. It will feature engaging invited talks, high-quality papers presented through oral and poster sessions, and a demo session to showcase the current state of audio generation methods. Audio Imagination Workshop will happen on Dec. 14, 2024.

Date:
December 14, 2024
Sony AI Participants:
Koichi Saito, Takashi Shibuya, Chieh-Hsin Lai, Kin Wai Cheuk, Woosung Choi, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji, Mayank Kumar Singh, Naoya Takahashi,

Workshop 02

Generative AI and Creativity: A dialogue between machine learning researchers and creative professionals

We are happy to announce the inaugural NeurIPS 2024 workshop Creativity & Generative AI: A dialogue between machine learning researchers and creative professionals. In the wake of a disruptive year of advances in generative AI, we are bringing together the two communities for much-needed conversation.

We will provide a forum to voice the concerns and proposals of creative professionals, highlight existing efforts and jump-start new initiatives to empower creative communities, and foster mutual understanding and collaboration. Speakers and participants will include people who have a technical background in machine learning, as well as creative professionals who can speak to their experiences with generative AI.

Date:
December 14, 2024
Time:
9:00 am - 6:00 pm
Sony AI Participants:
Naoki Murata, Yuki Mitsufuji

Workshop 03

Workshop on Machine Learning and Compression

Sony AI Participants:
Yuhta Takida, Yuki Mitsufuji, Woosung Choi, Yuhta Takida, Junghyun Koo, Yukara Ikemiya, Kin Wai Cheuk, Marco A. Martínez-Ramírez, Wei-Hsiang Liao


Publications

Publication 01

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping

Authors:
Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji

Publication 02

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher

Publication 03

Towards Exact Gradient-based Training on Analog In-memory Computing

Authors:
Zhaoxian Wu, Tayfun Gokmen, Malte J. Rasch, Tianyi Chen

Publication 04

A Taxonomy of Challenges to Curating Fair Datasets

Authors:
Dora Zhao, Morgan Klaus Scheuerman, Pooja Chitre, Jerone Andrews, Georgia Panagiotidou, Shawn Walker, Kathleen H. Pine, Alice Xiang

Publication 05

N-agent Ad Hoc Teamwork

Authors:
Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone

Publication 06

DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release

Authors:
Farzaneh Askari, Lingjuan Lv, Vivek Sharma

Publication 07

Through the Looking-Glass: Tracing Shifts in AI Data Consent across the Web

Authors:
Shayne Longpre, Robert Mahari, Ariel N. Lee, Campbell S. Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole J Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Mustafa Anis, An Dinh, Caroline Shamiso Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kushagra Tiwary, Lester James Validad Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi LI, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Alex Pentland

Publication 08

Discovering Creative Behaviours through DUPLEX: Diverse Universal Features for Policy Exploration

Publication 09

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection

Authors:
Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma

Publication 10

CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence

Authors:
Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan

Publication 11

pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning

Authors:
Jiaqi Wang, Qi Li, Lingjuan Lyu, Fenglong Ma

Publication 12

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low- Rank Adaptations

Authors:
Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li

Recruiting Information

Recruiting Information

We look forward to working with highly motivated individuals to fill the world with emotion and to pioneer future innovation through dreams and curiosity. With us, you will be welcomed onto diverse, innovative, and creative teams set out to inspire the world.

At this time, the full-time and internship roles previously listed on this page are closed. Please see all other open positions through the links below.

NOTE: For those interested in Japan-based full-time and internship opportunities, please note the following points and benefits

  • Japanese language skills are NOT required, as your work will be conducted in English.
  • Regarding Japan-based internships, please note that they are paid, and that we additionally cover round trip flights, visa expenses, commuting expenses, and accommodation expenses as part of our support package.
  • Regarding Japan-based full-time roles, in addition to your compensation and benefits package, we cover your flight to Japan, shipment of your belongings to Japan, visa expenses, commuting expenses, and more!

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