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title: "NeurIPS 2024 — all accepted papers, page 40 — Elamur Research"
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# NeurIPS 2024: all accepted papers

4,494 papers · page 40 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/39/) [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/) … [39](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/39/) **40** [41](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/41/) … [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/41/)

3901. **[Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient ↗](https://doi.org/10.52202/079017-1134)**Nataša Tagasovska, Vladimir Gligorijević, Kyunghyun Cho et al.
3902. **[Improved Guarantees for Fully Dynamic k-Center Clustering with Outliers in General Metric Spaces ↗](https://doi.org/10.52202/079017-2833)**Leyla Biabani, Annika Hennes, Denise La Gordt Dillie et al.
3903. **[Improved Particle Approximation Error for Mean Field Neural Networks ↗](https://doi.org/10.52202/079017-3614)**Atsushi Nitanda
3904. **[Improved Regret of Linear Ensemble Sampling ↗](https://doi.org/10.52202/079017-2947)**Harin Lee, Min-hwan Oh
3905. **[Improved Sample Complexity Bounds for Diffusion Model Training ↗](https://doi.org/10.52202/079017-1296)**Shivam Gupta, Aditya Parulekar, Eric Price et al.
3906. **[Improved off-policy training of diffusion samplers ↗](https://doi.org/10.52202/079017-2575)**Marcin Sendera, Minsu Kim, Sarthak Mittal et al.
3907. **[Improving Decision Sparsity ↗](https://doi.org/10.52202/079017-0827)**Yiyang Sun, Tong Wang, Cynthia D Rudin
3908. **[Improving Environment Novelty Quantification for Effective Unsupervised Environment Design ↗](https://doi.org/10.52202/079017-4300)**Jayden Teoh, Wenjun Li, Pradeep Reddy Varakantham
3909. **[Improving Equivariant Model Training via Constraint Relaxation ↗](https://doi.org/10.52202/079017-2656)**Stefanos Pertigkiozoglou, Evangelos Chatzipantazis, Shubhendu Trivedi et al.
3910. **[Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes ↗](https://doi.org/10.52202/079017-0494)**Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec et al.
3911. **[Improving Neural Network Surface Processing with Principal Curvatures ↗](https://doi.org/10.52202/079017-3889)**Josquin Harrison, James Benn, Maxime Sermesant B
3912. **[Improving Neural ODE Training with Temporal Adaptive Batch Normalization ↗](https://doi.org/10.52202/079017-3038)**Zheng Su, Zhengqi Gao, Fan-Keng Sun et al.
3913. **[Improving Subgroup Robustness via Data Selection ↗](https://doi.org/10.52202/079017-2995)**Saachi Jain, Kimia Hamidieh, Kristian Georgiev et al.
3914. **[Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection ↗](https://doi.org/10.52202/079017-0627)**Yinxuan Huang, Chengmin Gao, Bin Li et al.
3915. **[Improving self-training under distribution shifts via anchored confidence with theoretical guarantees ↗](https://doi.org/10.52202/079017-0487)**Taejong Joo, Diego Klabjan
3916. **[Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting ↗](https://doi.org/10.52202/079017-4394)**Man Zhou
3917. **[Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity ↗](https://doi.org/10.52202/079017-2818)**Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik
3918. **[In-Context Learning with Representations: Contextual Generalization of Trained Transformers ↗](https://doi.org/10.52202/079017-2727)**Tong Yang, Yu Huang, Yingbin Liang et al.
3919. **[In-Context Symmetries: Self-Supervised Learning through Contextual World Models ↗](https://doi.org/10.52202/079017-3312)**Sharut Gupta, Chenyu Wang, Yifei Wang et al.
3920. **[IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark ↗](https://doi.org/10.52202/079017-4326)**Fredrik Johansson
3921. **[Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques ↗](https://doi.org/10.52202/079017-0258)**Manh Binh Dao, Phi Le Nguyen, Thao Truong et al.
3922. **[Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery ↗](https://doi.org/10.52202/079017-0371)**Yongwei Nie, Mingxian Fan, Chengjiang Long et al.
3923. **[Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence ↗](https://doi.org/10.52202/079017-1297)**Feng-Yi Liao, Lijun Ding, Yang Zheng
3924. **[Information Re-Organization Improves Reasoning in Large Language Models ↗](https://doi.org/10.52202/079017-4137)**Xiaoxia Cheng, Zeqi Tan, Wei Xue et al.
3925. **[Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation ↗](https://doi.org/10.52202/079017-1925)**Sagi Eppel, Jolina Li, Manuel S. Drehwald et al.
3926. **[Instance-Specific Asymmetric Sensitivity in Differential Privacy ↗](https://doi.org/10.52202/079017-4475)**David Durfee
3927. **[Instruction Embedding: Latent Representations of Instructions Towards Task Identification ↗](https://doi.org/10.52202/079017-2784)**Yiwei Li, Jiayi Shi, Shaoxiong Feng et al.
3928. **[Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion ↗](https://doi.org/10.52202/079017-2312)**Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi et al.
3929. **[Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems ↗](https://doi.org/10.52202/079017-3263)**Dingbang Liu, Shōhei Kato, Wen Gu et al.
3930. **[Interaction-Force Transport Gradient Flows ↗](https://doi.org/10.52202/079017-0462)**Egor Leonidovich Gladin, Pavel Evgenyevich Dvurechensky, Alexander Mielke et al.
3931. **[Interfacing Foundation Models' Embeddings ↗](https://doi.org/10.52202/079017-1269)**Xueyan Zou, Linjie Li, Jianfeng Wang et al.
3932. **[Interpolating Item and User Fairness in Multi-Sided Recommendations ↗](https://doi.org/10.52202/079017-1589)**Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei et al.
3933. **[Interpreting Learned Feedback Patterns in Large Language Models ↗](https://doi.org/10.52202/079017-1152)**Luke Marks, Amir Abdullah, Clement Neo et al.
3934. **[Intervention and Conditioning in Causal Bayesian Networks ↗](https://doi.org/10.52202/079017-2824)**Sainyam Galhotra, Joseph Yehuda Halpern
3935. **[Interventionally Consistent Surrogates for Complex Simulation Models ↗](https://doi.org/10.52202/079017-0686)**Joel Dyer, Nicholas Bishop, Yorgos Felekis et al.
3936. **[Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling ↗](https://doi.org/10.52202/079017-4298)**Wei Tang, Haifeng Xu, Ruimin Zhang et al.
3937. **[Invariant subspaces and PCA in nearly matrix multiplication time ↗](https://doi.org/10.52202/079017-0602)**Aleksandros Sobczyk, Marko Mladenović, Mathieu Luisier
3938. **[Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning ↗](https://doi.org/10.52202/079017-0854)**The Viet Bui, Tien Mai, Thanh Nguyen
3939. **[Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions ↗](https://doi.org/10.52202/079017-0977)**Hideaki Kim
3940. **[InversionView: A General-Purpose Method for Reading Information from Neural Activations ↗](https://doi.org/10.52202/079017-4380)**Xinting Huang, Madhur Panwar, Navin Goyal et al.
3941. **[Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions ↗](https://doi.org/10.52202/079017-0752)**Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata et al.
3942. **[Is Multiple Object Tracking a Matter of Specialization? ↗](https://doi.org/10.52202/079017-4251)**Gianluca Mancusi, Mattia Bernardi, Aniello Panariello et al.
3943. **[Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL ↗](https://doi.org/10.52202/079017-3182)**Enoch Hyunwook Kang, P. R. Kumar
3944. **[Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. ↗](https://doi.org/10.52202/079017-1305)**Athanasios Tragakis, Marco Aversa, Chaitanya Kaul et al.
3945. **[Is Score Matching Suitable for Estimating Point Processes? ↗](https://doi.org/10.52202/079017-0751)**Haoqun Cao, Zizhuo Meng, Tianjun Ke et al.
3946. **[Iterative Methods via Locally Evolving Set Process ↗](https://doi.org/10.52202/079017-4494)**Baojian Zhou, Yifan Sun, Reza Babanezhad et al.
3947. **[John Ellipsoids via Lazy Updates ↗](https://doi.org/10.52202/079017-2179)**David P. Woodruff, Taisuke Yasuda
3948. **[JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images ↗](https://doi.org/10.52202/079017-2015)**Zhecan Wang, Junzhang Liu, Chia-Wei Tang et al.
3949. **[Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem ↗](https://doi.org/10.52202/079017-2117)**Mincheol Chang, Siyeong Lee, Nam Il Kim et al.
3950. **[Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm ↗](https://doi.org/10.52202/079017-0800)**Sattar Vakili, Julia Olkhovskaya
3951. **[Knowledge Graph Completion by Intermediate Variables Regularization ↗](https://doi.org/10.52202/079017-3498)**Changyi Xiao, Yixin Cao
3952. **[LLaMo: Large Language Model-based Molecular Graph Assistant ↗](https://doi.org/10.52202/079017-4195)**Jinyoung Park, Minseong Bae, Dohwan Ko et al.
3953. **[LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect ↗](https://doi.org/10.52202/079017-0117)**Yixiao Xu, Binxing Fang, Mohan Li et al.
3954. **[Label Noise: Ignorance Is Bliss ↗](https://doi.org/10.52202/079017-3701)**Yilun Zhu, Jianxin Zhang, Aditya Gangrade et al.
3955. **[Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models ↗](https://doi.org/10.52202/079017-2032)**Hui‐Po Wang, Mario Fritz
3956. **[Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading ↗](https://doi.org/10.52202/079017-0967)**Xueyi Zhang, Chengwei Zhang, Mingrui Lao et al.
3957. **[Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning ↗](https://doi.org/10.52202/079017-4014)**Alessandro Montenegro, Marco Mussi, Matteo Papini et al.
3958. **[Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models ↗](https://doi.org/10.52202/079017-3803)**Minki Kang, Sung Ju Hwang, Gibbeum Lee et al.
3959. **[Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks ↗](https://doi.org/10.52202/079017-3052)**Victor Boutin, Rishav Mukherji, Aditya Agrawal et al.
3960. **[Learning 1D Causal Visual Representation with De-focus Attention Networks ↗](https://doi.org/10.52202/079017-0814)**Chenxin Tao, Xizhou Zhu, Shiqian Su et al.
3961. **[Learning Better Representations From Less Data For Propositional Satisfiability ↗](https://doi.org/10.52202/079017-1532)**Mohamed Ghanem, Frederik Schmitt, Julian Siber et al.
3962. **[Learning Bregman Divergences with Application to Robustness ↗](https://doi.org/10.52202/079017-4187)**Mohamed-Hicham Leghettas, Markus Püschel
3963. **[Learning Cut Generating Functions for Integer Programming ↗](https://doi.org/10.52202/079017-1964)**Hongyu Cheng, Amitabh Basu
3964. **[Learning Elastic Costs to Shape Monge Displacements ↗](https://doi.org/10.52202/079017-3446)**Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin et al.
3965. **[Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm ↗](https://doi.org/10.52202/079017-3447)**Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
3966. **[Learning Goal-Conditioned Representations for Language Reward Models ↗](https://doi.org/10.52202/079017-3717)**Vaskar Nath, Dylan Slack, Yuntao Ma et al.
3967. **[Learning Group Actions on Latent Representations ↗](https://doi.org/10.52202/079017-4042)**Yinzhu Jin, Aman Shrivastava, P. Thomas Fletcher
3968. **[Learning Infinitesimal Generators of Continuous Symmetries from Data ↗](https://doi.org/10.52202/079017-2730)**Gyeonghoon Ko, Hyunsu Kim, Juho Lee
3969. **[Learning Mixtures of Unknown Causal Interventions ↗](https://doi.org/10.52202/079017-0527)**Abhinav Kumar, Kirankumar Shiragur, Caroline Uhler
3970. **[Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random ↗](https://doi.org/10.52202/079017-1442)**Gautam Chandrasekaran, Vasilis Kontonis, Konstantinos Stavropoulos et al.
3971. **[Learning Partitions from Context ↗](https://doi.org/10.52202/079017-4445)**Simon Buchholz
3972. **[Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation ↗](https://doi.org/10.52202/079017-1317)**Xinhao Zheng, Yang Li, Cunxin Fan et al.
3973. **[Learning Representations for Hierarchies with Minimal Support ↗](https://doi.org/10.52202/079017-0181)**Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel et al.
3974. **[Learning Structure-Aware Representations of Dependent Types ↗](https://doi.org/10.52202/079017-2079)**Konstantinos Kogkalidis, Orestis Melkonian, Jean-Philippe Bernardy
3975. **[Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise ↗](https://doi.org/10.52202/079017-2151)**Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas et al.
3976. **[Learning and Transferring Sparse Contextual Bigrams with Linear Transformers ↗](https://doi.org/10.52202/079017-0642)**Yunwei Ren, ZiXuan Wang, Jason D. Lee
3977. **[Learning from Offline Foundation Features with Tensor Augmentations ↗](https://doi.org/10.52202/079017-3817)**Emir Konuk, Christos Matsoukas, Moein Sorkhei et al.
3978. **[Learning from Snapshots of Discrete and Continuous Data Streams ↗](https://doi.org/10.52202/079017-2545)**Pramith Devulapalli, Steve Hanneke
3979. **[Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms ↗](https://doi.org/10.52202/079017-1791)**Thanh Nguyen-Tang, Raman Arora
3980. **[Learning on Large Graphs using Intersecting Communities ↗](https://doi.org/10.52202/079017-1828)**Ben Finkelshtein, Ismail Ceylan, Michael Bronstein et al.
3981. **[Learning symmetries via weight-sharing with doubly stochastic tensors ↗](https://doi.org/10.52202/079017-1354)**Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree Vadgama et al.
3982. **[Learning the Expected Core of Strictly Convex Stochastic Cooperative Games ↗](https://doi.org/10.52202/079017-0709)**Nam Tran, The Anh Ta, Shuqing Shi et al.
3983. **[Learning to Assist Humans without Inferring Rewards ↗](https://doi.org/10.52202/079017-2285)**Vivek Myers, Evan Ellis, Sergey Levine et al.
3984. **[Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf ↗](https://doi.org/10.52202/079017-2452)**Xuanfa Jin, Ziyan Wang, Yali Du et al.
3985. **[Learning to Embed Distributions via Maximum Kernel Entropy ↗](https://doi.org/10.52202/079017-1420)**Oleksii Kachaiev, Stefano Recanatesi
3986. **[Learning to Price Homogeneous Data ↗](https://doi.org/10.52202/079017-2815)**Keran Chen, Joon Suk Huh, Kirthevasan Kandasamy
3987. **[Learning to Reason via Program Generation, Emulation, and Search ↗](https://doi.org/10.52202/079017-1147)**Nathaniel Weir, Muhammad Khalifa, Linlu Qiu et al.
3988. **[Learning via Surrogate PAC-Bayes ↗](https://doi.org/10.52202/079017-1691)**Antoine Picard-Weibel, Roman Moscoviz, Benjamin Guedj
3989. **[Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models ↗](https://doi.org/10.52202/079017-3420)**Ruofeng Yang, Zhijie Wang, Bo Jiang et al.
3990. **[Leveraging Separated World Model for Exploration in Visually Distracted Environments ↗](https://doi.org/10.52202/079017-2618)**Kaichen Huang, Le Gan, Minghao Shao et al.
3991. **[Light Unbalanced Optimal Transport ↗](https://doi.org/10.52202/079017-2978)**Milena Gazdieva, Arip Asadulaev, Evgeny Vladimirovich Burnaev et al.
3992. **[Linear Causal Bandits: Unknown Graph and Soft Interventions ↗](https://doi.org/10.52202/079017-0755)**Zirui Yan, Ali Tajer
3993. **[Linear Regression using Heterogeneous Data Batches ↗](https://doi.org/10.52202/079017-2763)**Ayush Jain, Rajat Sen, Weihao Kong et al.
3994. **[Linear Time Approximation Algorithm for Column Subset Selection with Local Search ↗](https://doi.org/10.52202/079017-4386)**Yuanbin Zou, Ziyun Huang, Jinhui Xu et al.
3995. **[Linear Uncertainty Quantification of Graphical Model Inference ↗](https://doi.org/10.52202/079017-0525)**Chenghua Guo, Han Yu, Jiaxin Liu et al.
3996. **[Linguistic Collapse: Neural Collapse in (Large) Language Models ↗](https://doi.org/10.52202/079017-4366)**Robert Wu, Vardan Papyan
3997. **[LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss ↗](https://doi.org/10.52202/079017-3951)**Dominik A. Kloepfer, João Henriques, Dylan Campbell
3998. **[LoQT: Low-Rank Adapters for Quantized Pretraining ↗](https://doi.org/10.52202/079017-3661)**Sebastian Loeschcke, Mads Bech Toftrup, Michael J. Kastoryano et al.
3999. **[Local Curvature Smoothing with Stein's Identity for Efficient Score Matching ↗](https://doi.org/10.52202/079017-1843)**Genki Osada, Makoto Shing, Takashi Nishide
4000. **[Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs ↗](https://doi.org/10.52202/079017-2419)**Davide Maran, Alberto Maria Metelli, Matteo Papini et al.

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