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Vancouver, Canada
Conference
NeurIPS 2024
December 10 - 15, 2024
Vancouver, Canada

Overview

The Neural Information Processing Systems (NeurIPS) annual meeting fosters the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their fields.

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Accepted publications

Workshops

NeurIPS 2024 Workshop on Datasets and Benchmarks Track
November 4, 2024
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NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability
December 14
REACT: Residual-adaptive contextual tuning for fast model adaptation in cybersecurity
Jiayun Zhang, Junshen Xu, Yi Fan
2024
Machine learning
HyperDPO: Hypernetwork-based multi-objective fine-tuning framework
Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
2024
Conversational AI
NeurIPS 2024 Workshop on Multimodal Algorithmic Reasoning
December 15
Adaptive video understanding agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning
Sullam Jeoung, Goeric Huybrechts, Bhavana Ganesh, Aram Galstyan, Sravan Bodapati
2024
Conversational AI
NeurIPS 2024 Workshop on Table Representation Learning
December 14
TabDeco: A comprehensive contrastive framework for decoupled representations in tabular data
Suiyao Chen, Jing Wu, Ethan Wang, Cheng Ji, Luke Xie, Daniel Cociorva, Michael Sharps, Cecile Levasseur, Hakan Brunzell
2024
Information and knowledge management
Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh, Joseph Xie, Mikhail Kuznetsov
2024
Machine learning
Learning metadata-agnostic representations for Text-to-SQL in-context example selection
Chuhong Mai, Ro-ee Tal, Thahir Mohamed
2024
Conversational AI
NeurIPS 2024 Workshop on Open-World Agents
December 14
DARD: A multi-agent approach for task-oriented dialog systems
Aman Gupta, Anirudh Ravichandran, Ziji Zhang, Swair Shah, Anurag Beniwal, Narayanan Sadagopan
2024
Conversational AI
NeurIPS 2024 Workshop on Adversarial Machine Learning
December 14
Website: https://advml-frontier.github.io/
LLM-PIEval: A benchmark for indirect prompt injection attacks in large language models
Anil Ramakrishna, Jimit Majmudar, Rahul Gupta, Devamanyu Hazarika
2024
Conversational AI
NeurIPS 2024 Workshop on Efficient Natural Language and Speech Processing (ENLSP-IV)
December 14
Website: https://neurips2024-enlsp.github.io/
The N-Grammys: Accelerating autoregressive inference with learning-free batched speculation
Lawrence Stewart, Matthew Trager, Sujan Gonugondla, Stefano Soatto
2024
Conversational AI
Approximations may be all you need: Towards pre-training LLMs with low-rank decomposition and optimizers
Namrata Shivagunde, Mayank Kulkarni, Giannis Karamanolakis, Jack G. M. FitzGerald, Yannick Versley, Saleh Soltan, Volkan Cevher, Jianhua Lu, Anna Rumshisky
2024
Conversational AI
Revisiting SMoE language models by evaluating inefficiencies with task specific expert pruning
Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Sheng Zha, Thomas Brox, George Karypis
2024
Machine learning
NeurIPS 2024 Workshop on GenAI for Health
December 14
Website: https://genai4health.github.io/
Private text generation by seeding large language model prompts
Supriya Nagesh, Justin Chen, Nina Mishra, Tal Wagner
2024
Security, privacy, and abuse prevention
NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty
December 14
Convergence rates of bayesian network policy gradient for cooperative multi-agent reinforcement learning
Dingyang Chen, Zhenyu Zhang, Xiaolong Kuang, XINYANG SHEN, Özalp Özer, Qi Zhang
2024
Machine learning

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View from space of a connected network around planet Earth representing the Internet of Things.
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