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# NeurIPS 2024: all accepted papers

4,494 papers · page 45 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/44/) [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/) … [44](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/page/44/) **45**

4401. **[Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences ↗](https://doi.org/10.52202/079017-1195)**Zhaoze Wang, Ronald W. DiTullio, Spencer Rooke et al.
4402. **[Time-Reversal Provides Unsupervised Feedback to LLMs ↗](https://doi.org/10.52202/079017-0937)**Yerram Varun, Rahul Madhavan, Sravanti Addepalli et al.
4403. **[Topic-Conversation Relevance (TCR) Dataset and Benchmarks ↗](https://doi.org/10.52202/079017-4448)**Yaran Fan, Jamie Pool, Senja Filipi et al.
4404. **[Topological obstruction to the training of shallow ReLU neural networks ↗](https://doi.org/10.52202/079017-1114)**Marco Nurisso, Pierrick Leroy, Francesco Vaccarino
4405. **[Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models ↗](https://doi.org/10.52202/079017-0344)**Weihang Xu, Maryam Fazel, Weihang Xu
4406. **[Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation ↗](https://doi.org/10.52202/079017-1513)**Zheng Zhang, Wei Song, Qi Liu et al.
4407. **[Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding ↗](https://doi.org/10.52202/079017-3321)**Alexis Bellot, Silvia Chiappa
4408. **[Towards Neuron Attributions in Multi-Modal Large Language Models ↗](https://doi.org/10.52202/079017-3904)**Junfeng Fang, Zongze Bi, Junfeng Fang et al.
4409. **[Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing ↗](https://doi.org/10.52202/079017-0404)**Peiran Dong, Bingjie Wang, Song Guo et al.
4410. **[Towards Stable Representations for Protein Interface Prediction ↗](https://doi.org/10.52202/079017-2326)**Ziqi Gao, Jia Li, Yu Li et al.
4411. **[Towards Unsupervised Model Selection for Domain Adaptive Object Detection ↗](https://doi.org/10.52202/079017-1861)**Hengfu Yu, Jinhong Deng, Wen Li et al.
4412. **[Towards Visual Text Design Transfer Across Languages ↗](https://doi.org/10.52202/079017-2848)**Yejin Choi, Jiwan Chung, Sumin Shim et al.
4413. **[Towards training digitally-tied analog blocks via hybrid gradient computation ↗](https://doi.org/10.52202/079017-2666)**Timothy Nest, Maxence Ernoult
4414. **[TrAct: Making First-layer Pre-Activations Trainable ↗](https://doi.org/10.52202/079017-3303)**Felix Petersen, Christian Borgelt, Stefano Ermon
4415. **[Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification ↗](https://doi.org/10.52202/079017-3272)**Enrique Nueve, Bo Waggoner, Dhamma Kimpara et al.
4416. **[Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning ↗](https://doi.org/10.52202/079017-1857)**Yeongbin Seo, Dongha Lee, Jinyoung Yeo
4417. **[Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear qπ-Realizability and Concentrability ↗](https://doi.org/10.52202/079017-2649)**Volodymyr Tkachuk, Gellért Weisz, Csaba Szepesvári
4418. **[Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning ↗](https://doi.org/10.52202/079017-1957)**Runqian Wang, Soumya Ghosh, David Cox et al.
4419. **[Transductive Learning is Compact ↗](https://doi.org/10.52202/079017-4148)**Julian Asilis, Siddartha Devic, Shaddin Dughmi et al.
4420. **[Transfer Learning for Latent Variable Network Models ↗](https://doi.org/10.52202/079017-2502)**Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee et al.
4421. **[Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization ↗](https://doi.org/10.52202/079017-3450)**Omar Montasser, Han Shao, Emmanuel A. Abbe
4422. **[Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models ↗](https://doi.org/10.52202/079017-4196)**Cong Shen, Kun Yang, Jing Yang et al.
4423. **[TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing ↗](https://doi.org/10.52202/079017-0463)**Junxi Xiao, Qinliang Su
4424. **[Truthful High Dimensional Sparse Linear Regression ↗](https://doi.org/10.52202/079017-2139)**Liyang Zhu, Amina Manseur, Meng Ding et al.
4425. **[Truthfulness of Calibration Measures ↗](https://doi.org/10.52202/079017-3722)**Nika Haghtalab, Mingda Qiao, Kunhe Yang et al.
4426. **[UGC: Universal Graph Coarsening ↗](https://doi.org/10.52202/079017-2013)**Mohit Kataria, Sandeep Kumar, Jayadeva Jayadeva
4427. **[UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond ↗](https://doi.org/10.52202/079017-2578)**Kun Zhou, Xinyu Lin, Zhonghang Liu et al.
4428. **[UQ-Guided Hyperparameter Optimization for Iterative Learners ↗](https://doi.org/10.52202/079017-0013)**Jiesong Liu, Feng Zhang, Jiawei Guan et al.
4429. **[USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset ↗](https://doi.org/10.52202/079017-1735)**Kiran Kumar Lekkala, Henghui Bao, Peixu Cai et al.
4430. **[Understanding Model Selection for Learning in Strategic Environments ↗](https://doi.org/10.52202/079017-2951)**Tinashe Handina, Eric Mazumdar
4431. **[Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective ↗](https://doi.org/10.52202/079017-0307)**Haixiang Sun, Ye Shi
4432. **[Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation ↗](https://doi.org/10.52202/079017-3826)**Kaike Zhang, Qi Cao, Yunfan Wu et al.
4433. **[Understanding and Minimising Outlier Features in Transformer Training ↗](https://doi.org/10.52202/079017-2664)**Bobby He, Lorenzo Noci, Daniele Paliotta et al.
4434. **[Unelicitable Backdoors via Cryptographic Transformer Circuits ↗](https://doi.org/10.52202/079017-1700)**Andis Draguns, Andrew Gritsevskiy, Sumeet Motwani et al.
4435. **[Unified Covariate Adjustment for Causal Inference ↗](https://doi.org/10.52202/079017-0208)**Yonghan Jung, Jin Wen Tian, Elias Bareinboim
4436. **[Unified Graph Augmentations for Generalized Contrastive Learning on Graphs ↗](https://doi.org/10.52202/079017-1183)**Jiaming Zhuo, Yintong Lu, Hui Ying Ning et al.
4437. **[Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling ↗](https://doi.org/10.52202/079017-0110)**Qiannan Zhang, Weishen Pan, Zilong Bai et al.
4438. **[Unified Lexical Representation for Interpretable Visual-Language Alignment ↗](https://doi.org/10.52202/079017-0035)**Yifan Li, Yikai Wang, Yanwei Fu et al.
4439. **[Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning ↗](https://doi.org/10.52202/079017-4247)**Junyan Liu, Yunfan Li, Ruosong Wang et al.
4440. **[Universal In-Context Approximation By Prompting Fully Recurrent Models ↗](https://doi.org/10.52202/079017-2301)**Aleksandar Petrov, Tom A. Lamb, Alasdair Paren et al.
4441. **[Universal Online Convex Optimization with 1 Projection per Round ↗](https://doi.org/10.52202/079017-0988)**Wenhao Yang, Wenhao Yang, Peng Zhao et al.
4442. **[Universal Rates for Active Learning ↗](https://doi.org/10.52202/079017-2378)**Steve Hanneke, Amin Karbasi, Shay Moran et al.
4443. **[Universal Sample Coding ↗](https://doi.org/10.52202/079017-4205)**Szymon Kobus, Tze-Yang Tung, Denız Gündüz
4444. **[Universality in Transfer Learning for Linear Models ↗](https://doi.org/10.52202/079017-3995)**Reza Ghane, Danil Akhtiamov, Babak Hassibi
4445. **[Unlock the Intermittent Control Ability of Model Free Reinforcement Learning ↗](https://doi.org/10.52202/079017-3862)**Jiashun Liu, Jianye Hao, Xiaotian Hao et al.
4446. **[Unlocking the Potential of Global Human Expertise ↗](https://doi.org/10.52202/079017-3788)**Elliot Meyerson, Olivier Francon, Darren Sargent et al.
4447. **[Unravelling in Collaborative Learning ↗](https://doi.org/10.52202/079017-3084)**Aymeric Capitaine, Étienne Boursier, Antoine Scheid et al.
4448. **[Unrolled denoising networks provably learn to perform optimal Bayesian inference ↗](https://doi.org/10.52202/079017-4299)**Aayush Karan, Kulin Shah, Sitan Chen et al.
4449. **[Unsupervised Discovery of Formulas for Mathematical Constants ↗](https://doi.org/10.52202/079017-3596)**Michael Shalyt, Uri Seligmann, Itay Beit Halachmi et al.
4450. **[Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation ↗](https://doi.org/10.52202/079017-2980)**Ruihao Xia, Yu Liang, Peng-Tao Jiang et al.
4451. **[Unsupervised Object Detection with Theoretical Guarantees ↗](https://doi.org/10.52202/079017-3254)**Marian Longa, João Henriques
4452. **[Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers ↗](https://doi.org/10.52202/079017-2127)**Siyu Chen, Heejune Sheen, Tianhao Wang et al.
4453. **[Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance ↗](https://doi.org/10.52202/079017-1917)**Yi‐Ting Chen, Jiazi Bu, Junchi Yan
4454. **[Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models ↗](https://doi.org/10.52202/079017-1307)**Ziyi Zhou, Xinwei Guo, Jiashi Gao et al.
4455. **[Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators ↗](https://doi.org/10.52202/079017-4297)**Yiyan Huang, Cheuk Leung, Siyi Wang et al.
4456. **[User-item fairness tradeoffs in recommendations ↗](https://doi.org/10.52202/079017-3629)**Sophie Greenwood, Sudalakshmee Chiniah, Nikhil Garg
4457. **[Using Unity to Help Solve Reinforcement Learning ↗](https://doi.org/10.52202/079017-0081)**Connor M. Brennan, Andrew Williams, Omar Younis et al.
4458. **[Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training ↗](https://doi.org/10.52202/079017-0883)**Pihe Hu, Shaolong Li, Shaolong Li et al.
4459. **[Variance estimation in compound decision theory under boundedness ↗](https://doi.org/10.52202/079017-2919)**Subhodh Kotekal
4460. **[Variational Delayed Policy Optimization ↗](https://doi.org/10.52202/079017-1721)**Qingyuan Wu, Simon Zhan, Yixuan Wang et al.
4461. **[VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections ↗](https://doi.org/10.52202/079017-1338)**Roy Miles, Pradyumna Reddy, Ismail Elezi et al.
4462. **[Visual Data Diagnosis and Debiasing with Concept Graphs ↗](https://doi.org/10.52202/079017-3376)**Rwiddhi Chakraborty, Yinong Wang, Juan Gao et al.
4463. **[Visual Pinwheel Centers Act as Geometric Saliency Detectors ↗](https://doi.org/10.52202/079017-3470)**Haixin Zhong, Mingyi Huang, Wei Dai et al.
4464. **[Warm-starting Push-Relabel ↗](https://doi.org/10.52202/079017-1041)**Sami Davies, Sergei Vassilvitskii, Yuyan Wang
4465. **[Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes ↗](https://doi.org/10.52202/079017-0108)**Asaf Cassel, Aviv Rosenberg
4466. **[Weak Supervision Performance Evaluation via Partial Identification ↗](https://doi.org/10.52202/079017-4309)**Felipe Maia Polo, Subha Maity, Mikhail Yurochkin et al.
4467. **[Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models ↗](https://doi.org/10.52202/079017-0156)**Zhanhui Zhou, Jie Liu, Jie Liu et al.
4468. **[Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments ↗](https://doi.org/10.52202/079017-0205)**Mixue Xie, Shuang Li, Binhui Xie et al.
4469. **[Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning ↗](https://doi.org/10.52202/079017-3838)**Raffaele Paolino, Sohir Maskey, Pascal Welke et al.
4470. **[What Matters in Graph Class Incremental Learning? An Information Preservation Perspective ↗](https://doi.org/10.52202/079017-0824)**Jialu Li, Yu Wang, Pengfei Zhu et al.
4471. **[What do Graph Neural Networks learn? Insights from Tropical Geometry ↗](https://doi.org/10.52202/079017-0351)**Tuan Anh Pham, Vikas Garg
4472. **[What type of inference is planning? ↗](https://doi.org/10.52202/079017-3705)**Miguel Lázaro-Gredilla, Li Yang Ku, Kevin Murphy et al.
4473. **[When Is Inductive Inference Possible? ↗](https://doi.org/10.52202/079017-2944)**Lu Zhou
4474. **[When are dynamical systems learned from time series data statistically accurate? ↗](https://doi.org/10.52202/079017-1396)**Jeongjin Park, Nicole Yang, Nisha Chandramoorthy
4475. **[When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL ↗](https://doi.org/10.52202/079017-2033)**Lenart Treven, Bhavya Sukhija, Yarden As et al.
4476. **[Where Do Large Learning Rates Lead Us? ↗](https://doi.org/10.52202/079017-1862)**Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechnyy et al.
4477. **[Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) ↗](https://doi.org/10.52202/079017-2719)**Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi et al.
4478. **[Wide Two-Layer Networks can Learn from Adversarial Perturbations ↗](https://doi.org/10.52202/079017-1909)**Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
4479. **[WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena ↗](https://doi.org/10.52202/079017-3543)**Haipeng Luo, Qingfeng Sun, Can Xu et al.
4480. **[Worst-Case Offline Reinforcement Learning with Arbitrary Data Support ↗](https://doi.org/10.52202/079017-1965)**Kohei Miyaguchi
4481. **[Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads ↗](https://doi.org/10.52202/079017-3022)**Avelina Hadji-Kyriacou, Ognjen Arandjelović
4482. **[X-Ray: A Sequential 3D Representation For Generation ↗](https://doi.org/10.52202/079017-4327)**Tao Hu, Wenhang Ge, Yuyang Zhao et al.
4483. **[YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals ↗](https://doi.org/10.52202/079017-1940)**Sandeep Mishra, Oindrila Saha, Alan Conrad Bovik
4484. **[ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving ↗](https://doi.org/10.52202/079017-4452)**Tao Ma, Hongbin Zhou, Qiusheng Huang et al.
4485. **[Zero-Shot Reinforcement Learning from Low Quality Data ↗](https://doi.org/10.52202/079017-0538)**Scott Jeen, Tom Bewley, Jonathan M. Cullen
4486. **[Zero-Shot Transfer of Neural ODEs ↗](https://doi.org/10.52202/079017-2159)**Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu
4487. **[Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion ↗](https://doi.org/10.52202/079017-2273)**Ye He, Kevin Rojas, Molei Tao
4488. **[e-COP : Episodic Constrained Optimization of Policies ↗](https://doi.org/10.52202/079017-3521)**Akhil Agnihotri, Rahul Jain, Deepak Ramachandran et al.
4489. **[eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling ↗](https://doi.org/10.52202/079017-0430)**Matthew Dowling, Yuan Zhao, Il Memming Park
4490. **[einspace: Searching for Neural Architectures from Fundamental Operations ↗](https://doi.org/10.52202/079017-0061)**Linus Ericsson, Miguel Espinosa, Chenhongyi Yang et al.
4491. **[pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization ↗](https://doi.org/10.52202/079017-4406)**Matthew C Bendel, R. Badlishah Ahmad, Philip Schniter
4492. **[realSEUDO for real-time calcium imaging analysis ↗](https://doi.org/10.52202/079017-2603)**Iuliia Dmitrieva, Sergey Babkin, Adam S. Charles
4493. **[ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise ↗](https://doi.org/10.52202/079017-1007)**Jialiang Wang, Xiong Zhou, Deming Zhai et al.
4494. **[μP²: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling ↗](https://doi.org/10.52202/079017-1229)**Moritz Haas, Jin Xu, Volkan Cevher et al.

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