---
title: "NeurIPS 2024 — all accepted papers, page 38 — Elamur Research"
description: "All 4,494 papers of NeurIPS 2024 · page 38 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/38/"
---
[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/38/)

[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 38

# NeurIPS 2024: all accepted papers

4,494 papers · page 38 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/37/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/) … [30](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/30/) … [37](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/37/) **38** [39](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/39/) [40](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/40/) … [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/39/)

3701. **[Data subsampling for Poisson regression with pth-root-link ↗](https://doi.org/10.52202/079017-4330)**Han Cheng Lie, Alexander Munteanu
3702. **[Data-Efficient Learning with Neural Programs ↗](https://doi.org/10.52202/079017-0468)**Alaia Solko-Breslin, Seewon Choi, Ziyang Li et al.
3703. **[Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables ↗](https://doi.org/10.52202/079017-1428)**Qiheng Sun, Haocheng Xia, Jinfei Liu
3704. **[DePLM: Denoising Protein Language Models for Property Optimization ↗](https://doi.org/10.52202/079017-2397)**Zeyuan Wang, Keyan Ding, Ming Qin et al.
3705. **[DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms ↗](https://doi.org/10.52202/079017-4050)**Oryan Yehezkel, Alon Zolfi, Amit Baras et al.
3706. **[Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. ↗](https://doi.org/10.52202/079017-1534)**Tassilo Wald, Constantin Ulrich, Gregor Köhler et al.
3707. **[Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module ↗](https://doi.org/10.52202/079017-2178)**Jingbo Zhou, Yixuan Du, Ruqiong Zhang et al.
3708. **[Deep Homomorphism Networks ↗](https://doi.org/10.52202/079017-1784)**Takanori Maehara, Hoang Nt
3709. **[Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond ↗](https://doi.org/10.52202/079017-3926)**Alan Jeffares, Alicia Curth, Mihaela van der Schaar
3710. **[Deep Submodular Peripteral Networks ↗](https://doi.org/10.52202/079017-1801)**Gantavya Bhatt, Arnav Das, Jeffrey A. Bilmes
3711. **[Deep linear networks for regression are implicitly regularized towards flat minima ↗](https://doi.org/10.52202/079017-2445)**Pierre Marion, Lénaïc Chizat
3712. **[DeiSAM: Segment Anything with Deictic Prompting ↗](https://doi.org/10.52202/079017-1657)**Hikaru Shindo, Manuel Brack, Gopika Sudhakaran et al.
3713. **[Delving into the Reversal Curse: How Far Can Large Language Models Generalize? ↗](https://doi.org/10.52202/079017-0966)**Zhengkai Lin, Zhihang Fu, Kai Liu et al.
3714. **[Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval ↗](https://doi.org/10.52202/079017-1666)**Haolun Wu, Ofer Meshi, Masrour Zoghi et al.
3715. **[Derandomizing Multi-Distribution Learning ↗](https://doi.org/10.52202/079017-2989)**Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy
3716. **[Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time ↗](https://doi.org/10.52202/079017-2994)**Jeremy McMahan
3717. **[Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning ↗](https://doi.org/10.52202/079017-2247)**Abdullah Akgül, Manuel Haußmann, Melih Kandemir
3718. **[DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification ↗](https://doi.org/10.52202/079017-2842)**K. Wang, Xiaowen Fu, Yuxuan Han et al.
3719. **[DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation ↗](https://doi.org/10.52202/079017-1048)**Weiting Tan, Jingyu Zhang, Lingfeng Shen et al.
3720. **[Diffeomorphic interpolation for efficient persistence-based topological optimization ↗](https://doi.org/10.52202/079017-0857)**Mathieu Carrière, Marc Theveneau, Théo Lacombe
3721. **[Differentially Private Equivalence Testing for Continuous Distributions and Applications ↗](https://doi.org/10.52202/079017-0082)**Daniel Omer, Or Sheffet
3722. **[Differentially Private Set Representations ↗](https://doi.org/10.52202/079017-2602)**Sarvar Patel, Giuseppe Persiano, Joon Young Seo et al.
3723. **[Diffusing Differentiable Representations ↗](https://doi.org/10.52202/079017-1410)**Yash Savani, Marc Finzi, J. Zico Kolter
3724. **[Diffusion PID: Interpreting Diffusion via Partial Information Decomposition ↗](https://doi.org/10.52202/079017-0066)**Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena et al.
3725. **[Diffusion Spectral Representation for Reinforcement Learning ↗](https://doi.org/10.52202/079017-3492)**Dmitry Shribak, Chen-Xiao Gao, Yitong Li et al.
3726. **[Discrete Modeling via Boundary Conditional Diffusion Processes ↗](https://doi.org/10.52202/079017-3852)**Yuxuan Gu, Xiaocheng Feng, Lei Huang et al.
3727. **[Discretely beyond 1/e: Guided Combinatorial Algortihms for Submodular Maximization ↗](https://doi.org/10.52202/079017-3459)**Yixin Chen, Ankur Nath, Chunli Peng et al.
3728. **[Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection ↗](https://doi.org/10.52202/079017-1774)**Junqiang Huang, Zhaojun Guo, Ge Luo et al.
3729. **[Disentangling Linear Quadratic Control with Untrusted ML Predictions ↗](https://doi.org/10.52202/079017-2756)**Tongxin Li, Hao Liu, Yisong Yue
3730. **[Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation ↗](https://doi.org/10.52202/079017-4431)**Claude Formanek, Callum Rhys Tilbury, Louise Beyers et al.
3731. **[Distribution Learning with Valid Outputs Beyond the Worst-Case ↗](https://doi.org/10.52202/079017-0719)**Nick Rittler, Kamalika Chaudhuri
3732. **[Distributional Successor Features Enable Zero-Shot Policy Optimization ↗](https://doi.org/10.52202/079017-3959)**Chuning Zhu, Xinqi Wang, Tyler Han et al.
3733. **[Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation ↗](https://doi.org/10.52202/079017-1027)**Clément Dombry, Ahmed Zaoui
3734. **[Distributionally Robust Performative Prediction ↗](https://doi.org/10.52202/079017-1746)**Songkai Xue, Yuekai Sun
3735. **[Divergences between Language Models and Human Brains ↗](https://doi.org/10.52202/079017-4382)**Yuchen Zhou, Emmy Liu, Graham Neubig et al.
3736. **[Do LLMs Build World Representations? Probing Through the Lens of State Abstraction ↗](https://doi.org/10.52202/079017-3110)**Zichao Li, Yanshuai Cao, Jackie Chi Kit Cheung
3737. **[Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers ↗](https://doi.org/10.52202/079017-2163)**Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar et al.
3738. **[Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD ↗](https://doi.org/10.52202/079017-2316)**Jie Hu, Yi-Ting Ma, Do Young Eun
3739. **[Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning ↗](https://doi.org/10.52202/079017-1682)**Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Le et al.
3740. **[Domain Adaptation for Large-Vocabulary Object Detectors ↗](https://doi.org/10.52202/079017-2401)**Kai Jiang, Jiaxing Huang, Weiying Xie et al.
3741. **[Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences ↗](https://doi.org/10.52202/079017-2685)**Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov et al.
3742. **[DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models ↗](https://doi.org/10.52202/079017-3836)**Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
3743. **[DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation ↗](https://doi.org/10.52202/079017-0637)**Sunghyeon Woo, Baesung Park, Byeongwook Kim et al.
3744. **[Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks ↗](https://doi.org/10.52202/079017-2254)**Tian Qiu, Chenchao Gao, Zunlei Feng et al.
3745. **[Dueling over Dessert, Mastering the Art of Repeated Cake Cutting ↗](https://doi.org/10.52202/079017-3100)**Simina Brânzei, MohammadTaghi Hajiaghayi, Reed Phillips et al.
3746. **[DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning ↗](https://doi.org/10.52202/079017-4490)**Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu et al.
3747. **[Dynamic Rescaling for Training GNNs ↗](https://doi.org/10.52202/079017-3982)**Nimrah Mustafa, Rebekka Burkholz
3748. **[Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition ↗](https://doi.org/10.52202/079017-1695)**Rui Ai, David Simchi‐Levi, Feng Zhu
3749. **[Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments ↗](https://doi.org/10.52202/079017-2708)**Yanping Li, Jingshen Wang, Waverly Wei
3750. **[Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron ↗](https://doi.org/10.52202/079017-4334)**Christian Schmid, James M. Murray
3751. **[EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer ↗](https://doi.org/10.52202/079017-0212)**Haoyu Dong, Huiqiao Fu, Huiqiao Fu et al.
3752. **[EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching ↗](https://doi.org/10.52202/079017-4261)**Xinwang Chen, Ning Liu, Yichen Zhu et al.
3753. **[EGonc : Energy-based Open-Set Node Classification with substitute Unknowns ↗](https://doi.org/10.52202/079017-2114)**Qin Zhang, Zelin Shi, Shirui Pan et al.
3754. **[Efficiency for Free: Ideal Data Are Transportable Representations ↗](https://doi.org/10.52202/079017-0860)**Peng Sun, Yi Jiang, Tao Lin
3755. **[Efficient Lifelong Model Evaluation in an Era of Rapid Progress ↗](https://doi.org/10.52202/079017-2357)**Ameya Prabhu, Vishaal Udandarao, Philip H. S. Torr et al.
3756. **[Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms ↗](https://doi.org/10.52202/079017-1734)**Firas Trabelsi, David Vilar, Mara Finkelstein et al.
3757. **[Efficient Policy Evaluation Across Multiple Different Experimental Datasets ↗](https://doi.org/10.52202/079017-4332)**Yonghan Jung, Alexis Bellot
3758. **[Efficient Reinforcement Learning by Discovering Neural Pathways ↗](https://doi.org/10.52202/079017-0592)**Samin Yeasar Arnob, Riyasat Ohib, Sergey Plis et al.
3759. **[Efficient Sketches for Training Data Attribution and Studying the Loss Landscape ↗](https://doi.org/10.52202/079017-1190)**Andrea Schioppa
3760. **[Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing ↗](https://doi.org/10.52202/079017-3166)**Yixin Ren, Yewei Xia, Hao Zhang et al.
3761. **[EigenVI: score-based variational inference with orthogonal function expansions ↗](https://doi.org/10.52202/079017-4218)**Diana Cai, Chirag Modi, Charles C. Margossian et al.
3762. **[Embedding Dimension of Contrastive Learning and k-Nearest Neighbors ↗](https://doi.org/10.52202/079017-1309)**Dmitrii Avdiukhin, Vaggos Chatziafratis, Orr Fischer et al.
3763. **[Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning ↗](https://doi.org/10.52202/079017-1360)**Yiming Wang, Pei Zhang, Baosong Yang et al.
3764. **[Embedding-Aligned Language Models ↗](https://doi.org/10.52202/079017-0507)**Guy Tennenholtz, Yinlam Chow, Chih‐Wei Hsu et al.
3765. **[Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space ↗](https://doi.org/10.52202/079017-2689)**Core Francisco Park, Maya Okawa, Andrew Lee et al.
3766. **[Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity ↗](https://doi.org/10.52202/079017-2446)**Robby Costales, Stefanos Nikolaidis
3767. **[End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning ↗](https://doi.org/10.52202/079017-4476)**Xin Yang, Yan Wending, Michael Bi Mi et al.
3768. **[Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces ↗](https://doi.org/10.52202/079017-2516)**Tobias Schröder, Zijing Ou, Yingzhen Li et al.
3769. **[Energy-Guided Continuous Entropic Barycenter Estimation for General Costs ↗](https://doi.org/10.52202/079017-3416)**Alexander Kolesov, Petr Mokrov, Igor Udovichenko et al.
3770. **[Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA ↗](https://doi.org/10.52202/079017-4391)**David D. Smerkous, Qinxun Bai, Fuxin Li
3771. **[Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation ↗](https://doi.org/10.52202/079017-0548)**Shangding Gu, Laixi Shi, Yuhao Ding et al.
3772. **[Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective ↗](https://doi.org/10.52202/079017-1227)**Xinhao Yao, Xiaolin Hu, Shenzhi Yang et al.
3773. **[Enhancing LLM Reasoning via Vision-Augmented Prompting ↗](https://doi.org/10.52202/079017-0905)**Ziyang Xiao, Dongxiang Zhang, Xiongwei Han et al.
3774. **[Enhancing Preference-based Linear Bandits via Human Response Time ↗](https://doi.org/10.52202/079017-0537)**Shen Li, Yuyang Zhang, Zhaolin Ren et al.
3775. **[Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework ↗](https://doi.org/10.52202/079017-1556)**Ruihan Guo, Rui Wang, Ruidong Wu et al.
3776. **[Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections ↗](https://doi.org/10.52202/079017-4424)**Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo et al.
3777. **[Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection ↗](https://doi.org/10.52202/079017-3531)**Qian Shao, Jiangrui Kang, Qiyuan Chen et al.
3778. **[Ensemble sampling for linear bandits: small ensembles suffice ↗](https://doi.org/10.52202/079017-0747)**David Janz, Alexander E. Litvak, Csaba Szepesvári
3779. **[Entropy testing and its application to testing Bayesian networks ↗](https://doi.org/10.52202/079017-4227)**Clément L. Canonne, Joy Yang
3780. **[Entrywise error bounds for low-rank approximations of kernel matrices ↗](https://doi.org/10.52202/079017-4027)**Alexander Modell
3781. **[Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning ↗](https://doi.org/10.52202/079017-0369)**Dong-Su Lee, Minhae Kwon
3782. **[Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation ↗](https://doi.org/10.52202/079017-4185)**Jiwoong Park, Yang Shen
3783. **[Equivariant Neural Diffusion for Molecule Generation ↗](https://doi.org/10.52202/079017-1564)**François Cornet, Grigory Bartosh, Mikkel Nørgaard Schmidt et al.
3784. **[Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game ↗](https://doi.org/10.52202/079017-1542)**Xiyuan Li, Weiwei Liu
3785. **[Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression ↗](https://doi.org/10.52202/079017-1531)**Kai Tan, Pierre C. Bellec
3786. **[Euclidean distance compression via deep random features ↗](https://doi.org/10.52202/079017-1688)**Brett Leroux, Luis Rademacher
3787. **[Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization ↗](https://doi.org/10.52202/079017-4245)**Davide Buffelli, Jamie McGowan, Wangkun Xu et al.
3788. **[Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation ↗](https://doi.org/10.52202/079017-4206)**Yikang Chen, Dehui Du, Lili Tian
3789. **[Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch ↗](https://doi.org/10.52202/079017-1997)**Malek Mechergui, Sarath Sreedharan
3790. **[Expected Probabilistic Hierarchies ↗](https://doi.org/10.52202/079017-0443)**Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner et al.
3791. **[Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport ↗](https://doi.org/10.52202/079017-3807)**Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov
3792. **[Explanations that reveal all through the definition of encoding ↗](https://doi.org/10.52202/079017-3172)**Aahlad Puli, Nhi Nguyen, Rajesh Ranganath
3793. **[Exploration by Learning Diverse Skills through Successor State Representations ↗](https://doi.org/10.52202/079017-2396)**Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Königsbuch et al.
3794. **[Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization ↗](https://doi.org/10.52202/079017-0632)**Haoming Chen, Zhe Ma, Haoming Chen et al.
3795. **[Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations ↗](https://doi.org/10.52202/079017-3678)**Artem Agafonov, Petr A Ostroukhov, Roman Mozhaev et al.
3796. **[Extensive-Form Game Solving via Blackwell Approachability on Treeplexes ↗](https://doi.org/10.52202/079017-1111)**Darshan Chakrabarti, Julien Grand-Clément, Christian Kroer
3797. **[Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data ↗](https://doi.org/10.52202/079017-2230)**Sofia Ek, Dave Zachariah
3798. **[Extracting Training Data from Molecular Pre-trained Models ↗](https://doi.org/10.52202/079017-3108)**Renhong Huang, Jiarong Xu, Zhiming Yang et al.
3799. **[E³: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset ↗](https://doi.org/10.52202/079017-3753)**Lin Wang, Yueying Feng, Wenkang Han et al.
3800. **[FUSE: Fast Unified Simulation and Estimation for PDEs ↗](https://doi.org/10.52202/079017-0683)**Levi Lingsch, Dana Grund, Siddhartha Kumar Mishra et al.

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/37/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/) … [30](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/30/) … [37](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/37/) **38** [39](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/39/) [40](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/40/) … [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/39/)

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