NeurIPS 2024 Conference Submissions

Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Joshua B. Tenenbaum, Tianmin Shu, Pulkit Agrawal
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Rethinking LLM Memorization through the Lens of Adversarial Compression
Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary Chase Lipton, J Zico Kolter
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Compute-Optimal Solutions for Acoustic Wave Equation Using Hard-Constraint PINNs
Chen Gu, ZHUOYU CHEN
- 13 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Yihan Zhang, Marco Mondelli
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao
- Published: 25 Sept 2024, Last Modified: 19 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
Johannes Treutlein, Dami Choi, Jan Betley, Samuel Marks, Cem Anil, Roger Baker Grosse, Owain Evans
- Published: 25 Sept 2024, Last Modified: 20 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals
Sandeep Mishra, Oindrila Saha, Alan Bovik
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Pre-training Differentially Private Models with Limited Public Data
Zhiqi Bu, Xinwei Zhang, Sheng Zha, Mingyi Hong, George Karypis
- Published: 25 Sept 2024, Last Modified: 08 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Simulation-Free Training of Neural ODEs on Paired Data
Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
Jiajun Wang, MORTEZA GHAHREMANI, Yitong Li, Björn Ommer, Christian Wachinger
- Published: 25 Sept 2024, Last Modified: 17 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Differentiable Quantum Computing for Large-scale Linear Control
Connor Clayton, Jiaqi Leng, Gengzhi Yang, Yi-Ling Qiao, Ming Lin, Xiaodi Wu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
Seongwoong Cho, Donggyun Kim, Jinwoo Lee, Seunghoon Hong
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang
- Published: 25 Sept 2024, Last Modified: 04 Jan 2025
- NeurIPS 2024 oral
- Readers: Everyone
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang, Denny Zhou
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Wide Two-Layer Networks can Learn from Adversarial Perturbations
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
- Published: 25 Sept 2024, Last Modified: 20 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Contextual Bilevel Reinforcement Learning for Incentive Alignment
Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
Jason Vander Woude, Peter Dixon, A. Pavan, Jamie Radcliffe, N. V. Vinodchandran
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda ALAMI, Alexey Naumov, Eric Moulines
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Conditional Density Estimation with Histogram Trees
Lincen Yang, Matthijs van Leeuwen
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
Tassilo Wald, Constantin Ulrich, Priyank Jaini, Gregor Koehler, David Zimmerer, Stefan Denner, Fabian Isensee, Michael Baumgartner, Klaus Maier-Hein
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Community Detection Guarantees using Embeddings Learned by Node2Vec
Andrew Davison, Samuel Carlyle Morgan, Owen G. Ward
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Truthful High Dimensional Sparse Linear Regression
Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu, Di Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Empowering Visible-Infrared Person Re-Identification with Large Foundation Models
Zhangyi Hu, Bin Yang, Mang Ye
- Published: 25 Sept 2024, Last Modified: 28 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone