---
title: "NeurIPS 2024 — all accepted papers, page 43 — Elamur Research"
description: "All 4,494 papers of NeurIPS 2024 · page 43 of 45, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/43/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/43/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / [2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) / [papers](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/) / page 43

# NeurIPS 2024: all accepted papers

4,494 papers · page 43 of 45 · the most cited first · [← NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/42/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/) … [40](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/40/) [41](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/41/) [42](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/42/) **43** [44](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/44/) [45](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/45/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/44/)

4201. **[Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner ↗](https://doi.org/10.52202/079017-3336)**Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
4202. **[Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing ↗](https://doi.org/10.52202/079017-0866)**Letian Peng, Jingbo Shang
4203. **[Quantifying the Gain in Weak-to-Strong Generalization ↗](https://doi.org/10.52202/079017-4017)**Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
4204. **[Quantitative Convergences of Lie Group Momentum Optimizers ↗](https://doi.org/10.52202/079017-4451)**Lingkai Kong, Molei Tao
4205. **[Quantum Algorithms for Non-smooth Non-convex Optimization ↗](https://doi.org/10.52202/079017-1112)**Chengchang Liu, Chaowen Guan, Jianhao He et al.
4206. **[Quantum algorithm for large-scale market equilibrium computation ↗](https://doi.org/10.52202/079017-0347)**Po‐Wei Huang, Patrick Rebentrost
4207. **[Quasi-Bayes meets Vines ↗](https://doi.org/10.52202/079017-1277)**David Huk, Yuanhe Zhang, Mark F. J. Steel et al.
4208. **[Query-Efficient Correlation Clustering with Noisy Oracle ↗](https://doi.org/10.52202/079017-4422)**Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi et al.
4209. **[Queueing Matching Bandits with Preference Feedback ↗](https://doi.org/10.52202/079017-2063)**Jung-hun Kim, Min-hwan Oh
4210. **[REDUCR: Robust Data Downsampling using Class Priority Reweighting ↗](https://doi.org/10.52202/079017-2632)**William Bankes, George Hughes, Ilija Bogunovic et al.
4211. **[RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space ↗](https://doi.org/10.52202/079017-0596)**Jingdi Chen, Hanhan Zhou, Yongsheng Mei et al.
4212. **[ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making ↗](https://doi.org/10.52202/079017-0407)**Woosung Kim, Hayeong Lee, Jongmin Lee et al.
4213. **[RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks ↗](https://doi.org/10.52202/079017-3011)**Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
4214. **[Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding ↗](https://doi.org/10.52202/079017-3243)**Daniel Severo, Ashish J. Khisti, Alireza Makhzani
4215. **[Random Function Descent ↗](https://doi.org/10.52202/079017-3533)**Felix Benning, Leif Döring
4216. **[Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation ↗](https://doi.org/10.52202/079017-2441)**Wooseong Cho, Taehyun Hwang, Joongkyu Lee et al.
4217. **[Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy ↗](https://doi.org/10.52202/079017-3897)**Shima Adeli, Mojtaba Tefagh, Gourav Jhanwar et al.
4218. **[Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces ↗](https://doi.org/10.52202/079017-3037)**Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter et al.
4219. **[Rapid Plug-in Defenders ↗](https://doi.org/10.52202/079017-4449)**Kai Wu, Jing Liu, Jian Lou et al.
4220. **[ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization ↗](https://doi.org/10.52202/079017-0481)**Xiaoxing Wang, Xiaohan Qin, Xiaokang Yang et al.
4221. **[Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design ↗](https://doi.org/10.52202/079017-3687)**Ruisi Cai, Yeonju Ro, Geon-Woo Kim et al.
4222. **[Real-Time Recurrent Learning using Trace Units in Reinforcement Learning ↗](https://doi.org/10.52202/079017-0541)**Esraa Elelimy, Adam White, Michael Bowling et al.
4223. **[Real-Time Selection Under General Constraints via Predictive Inference ↗](https://doi.org/10.52202/079017-1959)**Yuyang Huo, Lu Lin, Haojie Ren et al.
4224. **[Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices ↗](https://doi.org/10.52202/079017-3034)**Zhihao Shu, Xiaowei Yu, Zihao Wu et al.
4225. **[Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training ↗](https://doi.org/10.52202/079017-2621)**Yanlai Yang, Matt Jones, Michael C. Mozer et al.
4226. **[Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents ↗](https://doi.org/10.52202/079017-1900)**John L. Zhou, Weizhe Hong, Jonathan C. Kao
4227. **[RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance ↗](https://doi.org/10.52202/079017-3075)**Zhicheng Sun, Zhen-Hao Yang, Yang Jin et al.
4228. **[Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery ↗](https://doi.org/10.52202/079017-4468)**Anand Gopalakrishnan, Aleksandar Stanić, Jürgen Schmidhuber et al.
4229. **[Recurrent neural network dynamical systems for biological vision ↗](https://doi.org/10.52202/079017-4319)**Wayne Wah Ming Soo, Aldo Battista, Puria Radmard et al.
4230. **[Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss ↗](https://doi.org/10.52202/079017-0570)**Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif et al.
4231. **[Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models ↗](https://doi.org/10.52202/079017-2543)**Luohe Shi, Yao Yao, Zuchao Li et al.
4232. **[Regression under demographic parity constraints via unlabeled post-processing ↗](https://doi.org/10.52202/079017-3745)**Gayane Taturyan, Evgenii Chzhen, Mohamed Hebiri
4233. **[Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network ↗](https://doi.org/10.52202/079017-4081)**Zih-Syuan Huang, Ching-pei Lee
4234. **[Regularized Conditional Diffusion Model for Multi-Task Preference Alignment ↗](https://doi.org/10.52202/079017-4442)**Xudong Yu, Chenjia Bai, Haoran He et al.
4235. **[Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems ↗](https://doi.org/10.52202/079017-0083)**Haozhe Tian, Homayoun Hamedmoghadam, Robert Noel Shorten et al.
4236. **[Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards ↗](https://doi.org/10.52202/079017-3718)**Xuan-Bach D. Le, Dominik Wagner, Leon Witzman et al.
4237. **[Rejection via Learning Density Ratios ↗](https://doi.org/10.52202/079017-1643)**Alexander Soen, Hisham Husain, Philip Schulz et al.
4238. **[Relating Hopfield Networks to Episodic Control ↗](https://doi.org/10.52202/079017-3170)**Hugo Chateau-Laurent, Frédéric Alexandre
4239. **[Relational Verification Leaps Forward with RABBit ↗](https://doi.org/10.52202/079017-3920)**Tarun Suresh, Debangshu Banerjee, Gagandeep Singh
4240. **[Reliable Learning of Halfspaces under Gaussian Marginals ↗](https://doi.org/10.52202/079017-1431)**Ilias Diakonikolas, Lisheng Ren, Nikos Zarifis
4241. **[Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising ↗](https://doi.org/10.52202/079017-3415)**Gongfan Fang, Xinyin Ma, Xinchao Wang
4242. **[Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad ↗](https://doi.org/10.52202/079017-1503)**Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou et al.
4243. **[Reparameterization invariance in approximate Bayesian inference ↗](https://doi.org/10.52202/079017-0262)**Hrittik Roy, Marco Miani, Carl Henrik Ek et al.
4244. **[Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling ↗](https://doi.org/10.52202/079017-0852)**Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang et al.
4245. **[Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma ↗](https://doi.org/10.52202/079017-2508)**Jason Vander Woude, Peter Dixon, A. Pavan et al.
4246. **[Replicable Uniformity Testing ↗](https://doi.org/10.52202/079017-1008)**Sihan Liu, Christopher Ye
4247. **[Reranking Laws for Language Generation: A Communication-Theoretic Perspective ↗](https://doi.org/10.52202/079017-3527)**António Farinhas, Haau-Sing Li, André F. T. Martins
4248. **[Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints ↗](https://doi.org/10.52202/079017-3076)**Jay Bear, Adam Prügel‐Bennett, Jonathon S. Hare
4249. **[Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment ↗](https://doi.org/10.52202/079017-0869)**Weichao Zhou, Wenchao Li
4250. **[Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz ↗](https://doi.org/10.52202/079017-2076)**Ge Yan, Mengfei Ran, Ruocheng Wang et al.
4251. **[Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data ↗](https://doi.org/10.52202/079017-1265)**Zhilin Zhao, Longbing Cao, Xuhui Fan et al.
4252. **[Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference ↗](https://doi.org/10.52202/079017-3027)**Xunpeng Huang, Difan Zou, Hanze Dong et al.
4253. **[Revisiting motion information for RGB-Event tracking with MOT philosophy ↗](https://doi.org/10.52202/079017-2836)**Tianlu Zhang, Kurt Debattista, Jungong Han et al.
4254. **[Risk-sensitive control as inference with Rényi divergence ↗](https://doi.org/10.52202/079017-2280)**Kaito Ito, Kenji Kashima
4255. **[Robust Conformal Prediction Using Privileged Information ↗](https://doi.org/10.52202/079017-3742)**Shai Feldman, Yaniv Romano
4256. **[Robust Mixture Learning when Outliers Overwhelm Small Groups ↗](https://doi.org/10.52202/079017-3174)**Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel et al.
4257. **[Robust Offline Active Learning on Graphs ↗](https://doi.org/10.52202/079017-1880)**Yuanchen Wu, Yubai Yuan
4258. **[Robust Reinforcement Learning with General Utility ↗](https://doi.org/10.52202/079017-0360)**Ziyi Chen, Yan Tung Wen, Heng Huang et al.
4259. **[Robust Sparse Regression with Non-Isotropic Designs ↗](https://doi.org/10.52202/079017-0009)**Chih-Hung Liu, Gleb Novikov
4260. **[Robustly overfitting latents for flexible neural image compression ↗](https://doi.org/10.52202/079017-3388)**Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai
4261. **[Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts ↗](https://doi.org/10.52202/079017-1101)**Anna Mészáros, Szilvia Ujváry, Wieland Brendel et al.
4262. **[S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search ↗](https://doi.org/10.52202/079017-2376)**Gengmo Zhou, Zhen Wang, Yu Feng et al.
4263. **[S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization ↗](https://doi.org/10.52202/079017-1969)**Richard Zhu, Mathias Oster, Yuehaw Khoo
4264. **[SA3DIP: Segment Any 3D Instance with Potential 3D Priors ↗](https://doi.org/10.52202/079017-3257)**Xi Chen Yang, Xu Gu, Xi Chen Yang et al.
4265. **[SAMPa: Sharpness-aware Minimization Parallelized ↗](https://doi.org/10.52202/079017-1625)**Wanyun Xie, Thomas Pethick, Volkan Cevher
4266. **[SCRREAM : SCan, Register, REnder And Map: A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark ↗](https://doi.org/10.52202/079017-1401)**Hyunjun Jung, Weihang Li, Shun‐Cheng Wu et al.
4267. **[SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers ↗](https://doi.org/10.52202/079017-1500)**Parsa Esmati, Amirhossein Dadashzadeh, Vahid Ardakani et al.
4268. **[SEL-BALD: Deep Bayesian Active Learning with Selective Labels ↗](https://doi.org/10.52202/079017-1295)**Ruijiang Gao, Mingzhang Yin, Maytal Saar‐Tsechansky
4269. **[SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data ↗](https://doi.org/10.52202/079017-1217)**Jialu Li, Jaemin Cho, Yi-Lin Sung et al.
4270. **[SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models ↗](https://doi.org/10.52202/079017-1596)**Bardiya Akhbari, Manish Gawali, Nicholas Dronen
4271. **[SGD vs GD: Rank Deficiency in Linear Networks ↗](https://doi.org/10.52202/079017-1921)**Aditya Varre, Margarita Sagitova, Nicolas Flammarion
4272. **[SHDocs: A dataset, benchmark, and method to efficiently generate high-quality, real-world specular highlight data with near-perfect alignment ↗](https://doi.org/10.52202/079017-3072)**Jovin Leong, Ming Di Koa, Benjamin Cham et al.
4273. **[SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization ↗](https://doi.org/10.52202/079017-2957)**Tehila Dahan, Kfir Yehuda Levy
4274. **[SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model ↗](https://doi.org/10.52202/079017-0611)**Grzegorz Stefański, Paweł Daniluk, Artur Szumaczuk et al.
4275. **[SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization ↗](https://doi.org/10.52202/079017-2010)**Shuchen Zhu, Boao Kong, Songtao Lu et al.
4276. **[SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding ↗](https://doi.org/10.52202/079017-3571)**Jun Du, Yan Wang, Chenyu Liu et al.
4277. **[SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform ↗](https://doi.org/10.52202/079017-1550)**Kimia Saedi, Aditya Desai, Apoorv Walia et al.
4278. **[STONE: A Submodular Optimization Framework for Active 3D Object Detection ↗](https://doi.org/10.52202/079017-1530)**Ruiyu Mao, Sarthak Maharana, Rishabh Iyer et al.
4279. **[STk: A Scalable Module for Solving Top-k Problems ↗](https://doi.org/10.52202/079017-0534)**Hanchen Xia, Weidong Liu, Xiaojun Mao
4280. **[Safe Exploitative Play with Untrusted Type Beliefs ↗](https://doi.org/10.52202/079017-2321)**Tongxin Li, Tinashe Handina, Shaolei Ren et al.
4281. **[Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel ↗](https://doi.org/10.52202/079017-3020)**Jialin Li, Marta Zagórowska, Giulia De Pasquale et al.
4282. **[Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage ↗](https://doi.org/10.52202/079017-1079)**Haobo Zhang, Xiyue Peng, Honghao Wei et al.
4283. **[Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport ↗](https://doi.org/10.52202/079017-4127)**Zihao Tang, Yixuan Qiu
4284. **[Safety through feedback in Constrained RL ↗](https://doi.org/10.52202/079017-4441)**Shashank Reddy Chirra, Pradeep Reddy Varakantham, Praveen Paruchuri
4285. **[Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning ↗](https://doi.org/10.52202/079017-0717)**Adhyyan Narang, Andrew Wagenmaker, Lillian J. Ratliff et al.
4286. **[Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut ↗](https://doi.org/10.52202/079017-0789)**Hongyu Cheng, Sammy Khalife, Barbara Fiedorowicz et al.
4287. **[Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models ↗](https://doi.org/10.52202/079017-1860)**Puqian Wang, Nikos Zarifis, Ilias Diakonikolas et al.
4288. **[Sample-Efficient Agnostic Boosting ↗](https://doi.org/10.52202/079017-3190)**Udaya Ghai, Karan Singh
4289. **[Sample-Efficient Private Learning of Mixtures of Gaussians ↗](https://doi.org/10.52202/079017-3141)**Hassan Ashtiani, Mahbod Majid, Shyam Narayanan
4290. **[Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes ↗](https://doi.org/10.52202/079017-3828)**Yunyue Wei, Vincent Zhuang, Saraswati Soedarmadji et al.
4291. **[Scalable Early Childhood Reading Performance Prediction ↗](https://doi.org/10.52202/079017-2337)**Zhongkai Shangguan, Zanming Huang, Eshed Ohn-Bar et al.
4292. **[Scalable Kernel Inverse Optimization ↗](https://doi.org/10.52202/079017-3156)**Youyuan Long, Tolga Ok, Pedro Zattoni Scroccaro et al.
4293. **[Scalable Optimization in the Modular Norm ↗](https://doi.org/10.52202/079017-2338)**Tim Large, Yang Liu, Minyoung Huh et al.
4294. **[Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits ↗](https://doi.org/10.52202/079017-0350)**Gennaro Gala, Cassio Polpo de Campos, Antonio Vergari et al.
4295. **[Scanning Trojaned Models Using Out-of-Distribution Samples ↗](https://doi.org/10.52202/079017-4214)**Hossein Mirzaei, Ali Ansari, Bahar Dibaei Nia et al.
4296. **[Schur Nets: exploiting local structure for equivariance in higher order graph neural networks ↗](https://doi.org/10.52202/079017-0179)**Qingqi Zhang, Ruize Xu, Risi Kondor
4297. **[Score-Optimal Diffusion Schedules ↗](https://doi.org/10.52202/079017-3428)**Christopher Bryant Williams, Andrew Campbell, Arnaud Doucet B et al.
4298. **[Score-based 3D molecule generation with neural fields ↗](https://doi.org/10.52202/079017-0340)**Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi
4299. **[Segmenting Watermarked Texts From Language Models ↗](https://doi.org/10.52202/079017-0467)**Xingchi Li, Guanxun Li, Xianyang Zhang
4300. **[Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation ↗](https://doi.org/10.52202/079017-1389)**Ruize Zhang, Sheng Tang, Juan Cao

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/42/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/) … [40](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/40/) [41](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/41/) [42](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/42/) **43** [44](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/44/) [45](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/45/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/44/)

- [← back to](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) — NeurIPS 2024