NeurIPS 2024: all accepted papers
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- MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps ↗Yating Xu, Chen Li, Gim Hee Lee3 citations
- MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization ↗Aozhong Zhang, Naigang Wang, Yanxia Deng et al.3 citations
- Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows ↗Alberto Cabezas, Louis Sharrock, Christopher Nemeth3 citations
- Marrying Causal Representation Learning with Dynamical Systems for Science ↗Dingling Yao, Caroline Muller, Francesco Locatello3 citations
- MathPile: A Billion-Token-Scale Pretraining Corpus for Math ↗Zengzhi Wang, Pengfei Liu, Rui Xia et al.3 citations
- Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning ↗Keying Kuang, Frances Dean, Jack B. Jedlicki et al.3 citations
- Memory-Efficient LLM Training with Online Subspace Descent ↗Kaizhao Liang, Bo Liu, Lizhang Chen et al.3 citations
- MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers ↗Ning Ding, Yehui Tang, Haochen Qin et al.3 citations
- Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation ↗Yizhou Zhao, Hengwei Bian, Kaihua Chen et al.3 citations
- Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization ↗Zheyi Fan, Wenyu Wang, Szu Ng et al.3 citations
- Mitigating Spurious Correlations via Disagreement Probability ↗Hye Ree Han, Sehwan Kim, Hyungjun Joo et al.3 citations
- Mixture of In-Context Experts Enhance LLMs' Long Context Awareness ↗Hongzhan Lin, Ang Lv, Yuhan Chen et al.3 citations
- Mixture of Tokens: Continuous MoE through Cross-Example Aggregation ↗Szymon Antoniak, Michał Krutul, Maciej Pióro et al.3 citations
- MoEUT: Mixture-of-Experts Universal Transformers ↗Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber et al.3 citations
- MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer ↗Minghao Zhu, Ronghao Dang, Mengxian Hu et al.3 citations
- Model Based Inference of Synaptic Plasticity Rules ↗Yash Mehta, Danil Tyulmankov, Adithya E. Rajagopalan et al.3 citations
- Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory ↗Pasan Dissanayake, Sanghamitra Dutta3 citations
- Molecule Generation with Fragment Retrieval Augmentation ↗Seul Lee, Karsten Kreis, Srimukh Prasad Veccham et al.3 citations
- Monte Carlo Tree Search based Space Transfer for Black Box Optimization ↗Shukuan Wang, Ke Xue, Lei Song et al.3 citations
- MotionBooth: Motion-Aware Customized Text-to-Video Generation ↗Jianzong Wu, Xiangtai Li, Yanhong Zeng et al.3 citations
- Multi-Agent Coordination via Multi-Level Communication ↗Ziluo Ding, Zeyuan Liu, Zhirui Fang et al.3 citations
- Multi-Agent Imitation Learning: Value is Easy, Regret is Hard ↗Jingwu Tang, Gokul Swamy, Jingwu Tang et al.3 citations
- Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets ↗Bingqiao Luo, Zhen Zhang, Qian Wang et al.3 citations
- Multi-model Ensemble Conformal Prediction in Dynamic Environments ↗Erfan Hajihashemi, Yanning Shen3 citations
- MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step ↗Takeshi Noda, Chao Chen, Weiqi Zhang et al.3 citations
- Multiview Scene Graph ↗Juexiao Zhang, Gao Zhu, Xinhao Liu et al.3 citations
- Mutual Information Estimation via Normalizing Flows ↗D. Butakov, D. Tolmachev, V. Malanchuk et al.3 citations
- Navigating the Effect of Parametrization for Dimensionality Reduction ↗Haiyang Huang, Yingfan Wang, Cynthia D Rudin3 citations
- Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models ↗Sheng Peng, Pin-Yu Chen, Matthew Hull et al.3 citations
- Nearly Optimal Approximation of Matrix Functions by the Lanczos Method ↗Noah Amsel, Tyler Chen, Anne Greenbaum et al.3 citations
- Neglected Hessian component explains mysteries in sharpness regularization ↗Yann Dauphin, Atish Agarwala, Hossein Mobahi3 citations
- NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation ↗Momin Haider, Ming Yin, Menglei Zhang et al.3 citations
- Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms ↗Chengyuan Deng, Jie Gao, Kevin Lu et al.3 citations
- Neural Experts: Mixture of Experts for Implicit Neural Representations ↗Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe et al.3 citations
- Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling ↗Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth3 citations
- Neural Krylov Iteration for Accelerating Linear System Solving ↗Jian Luo, Jie Wang, Hong Wang et al.3 citations
- Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations ↗Nicholas Gao, Stephan Günnemann3 citations
- NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory ↗Navami Kairanda, Marc Habermann, Christian Theobalt et al.3 citations
- Neuro-Symbolic Data Generation for Math Reasoning ↗Zenan Li, Zhi Quan Zhou, Yuan Yao et al.3 citations
- No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO ↗Skander Moalla, Andrea Miele, Daniil Pyatko et al.3 citations
- NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention ↗Tianyi Zhang, Jonah Yi, Bowen Yao et al.3 citations
- Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data ↗Jiaojiao Zhang, Jiang Hu, Anthony Man–Cho So et al.3 citations
- Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery ↗Yue Yu, Ning Liu, Ning Liu et al.3 citations
- Normalization and effective learning rates in reinforcement learning ↗Clare Lyle, Zeyu Zheng, Khimya Khetarpal et al.3 citations
- OTTER: Effortless Label Distribution Adaptation of Zero-shot Models ↗Changho Shin, Jitian Zhao, Sonia Cromp et al.3 citations
- OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning ↗Anwesa Choudhuri, Girish Vinayak Chowdhary, Alexander Gerhard Schwing3 citations
- On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions ↗Yusu Hong, Junhong Lin3 citations
- On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs) ↗Jerry Yao-Chieh Hu, Weimin Wu, Han Liu et al.3 citations
- On conditional diffusion models for PDE simulations ↗Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin et al.3 citations
- On the Ability of Developers' Training Data Preservation of Learnware ↗Hao-Yi Lei, Zhi-Hao Tan, Zhi‐Hua Zhou3 citations
- On the Convergence of Loss and Uncertainty-based Active Learning Algorithms ↗Daniel Haimovich, Dima Karamshuk, Fridolin Linder et al.3 citations
- On the Role of Attention Masks and LayerNorm in Transformers ↗Xinyi Wu, Amir Ajorlou, Yifei Wang et al.3 citations
- On the Stability and Generalization of Meta-Learning ↗Yunjuan Wang, Raman Arora3 citations
- One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection ↗Yiyue Li, Shaoting Zhang, Yiyue Li et al.3 citations
- OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images ↗Ye Mao, Junpeng Jing, Krystian Mikolajczyk3 citations
- OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction ↗Hongbo Zhao, Lue Fan, Yuntao Chen et al.3 citations
- Optical Diffusion Models for Image Generation ↗İlker Oğuz, Niyazi Ulaş Dinç, Mustafa Yıldırım et al.3 citations
- Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification ↗Rui Si Li, Tingting Ren, Jie Wen et al.3 citations
- Optimal deep learning of holomorphic operators between Banach spaces ↗Ben Adcock, Nick Dexter, Sebastián Moraga3 citations
- Optimistic Verifiable Training by Controlling Hardware Nondeterminism ↗Megha Srivastava, Simran Arora, Dan Boneh3 citations
- OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning ↗Shengjie Niu, Lifan Lin, Huang Jian et al.3 citations
- PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization ↗Yao Ni, Shan Zhang, Piotr Koniusz3 citations
- PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices ↗Hanqing Zhu, Wenyan Cong, Guojin Chen et al.3 citations
- PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation ↗Fei Ni, Jianye Hao, Shiguang Wu et al.3 citations
- PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation ↗W.-C.V. Yang, Jiawei Chen, Xin Xin et al.3 citations
- Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning ↗Wenke Huang, Mang Ye, Zekun Shi et al.3 citations
- PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator ↗Hanshu Yan, Xingchao Liu, Jiachun Pan et al.3 citations
- Persistent Test-time Adaptation in Recurring Testing Scenarios ↗Trung-Hieu Hoang, Duc Vo, Minh N. Do3 citations
- Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization ↗Michał Balcerak, Tamaz Amiranashvili, Andreas Wagner et al.3 citations
- Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees ↗Taiki Miyagawa, Takeru Yokota3 citations
- Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis ↗Hongyu Sun, Qiuhong Ke, Yongcai Wang et al.3 citations
- Policy-shaped prediction: avoiding distractions in model-based reinforcement learning ↗Miles Hutson, Isaac Kauvar, Nick Haber3 citations
- Predicting Future Actions of Reinforcement Learning Agents ↗Stephen Chung, Scott Niekum, David Krueger3 citations
- Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms ↗Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya et al.3 citations
- Predicting Label Distribution from Ternary Labels ↗Yunan Lu, Xiuyi Jia3 citations
- Prediction with Action: Visual Policy Learning via Joint Denoising Process ↗Yanjiang Guo, Yucheng Hu, Jianke Zhang et al.3 citations
- Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs ↗Yuxuan Qiao, Haodong Duan, Xinyu Fang et al.3 citations
- PrivCirNet: Efficient Private Inference via Block Circulant Transformation ↗Tianshi Xu, Lemeng Wu, Runsheng Wang et al.3 citations
- ProTransformer: Robustify Transformers via Plug-and-Play Paradigm ↗Zhichao Hou, Wenxin Gao, Yuchen Shen et al.3 citations
- Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics ↗Yenho Chen, Noga Mudrik, Kyle Johnsen et al.3 citations
- Probabilistic Graph Rewiring via Virtual Nodes ↗Chendi Qian, Andrei Manolache, Christopher Morris et al.3 citations
- Proportional Fairness in Clustering: A Social Choice Perspective ↗Leon Kellerhals, Jannik Peters3 citations
- Prospective Representation Learning for Non-Exemplar Class-Incremental Learning ↗Wuxuan Shi, Mang Ye3 citations
- ProtGO: Function-Guided Protein Modeling for Unified Representation Learning ↗Bozhen Hu, Cheng Tan, Yongjie Xu et al.3 citations
- Provable Posterior Sampling with Denoising Oracles via Tilted Transport ↗Joan Bruna, Jiequn Han3 citations
- Provable and Efficient Dataset Distillation for Kernel Ridge Regression ↗Yilan Chen, Wei Huang, Tsui-Wei Weng3 citations
- P²C²Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics ↗Qi Wang, Pu Ren, Hao Zhou et al.3 citations
- Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model ↗Jing Zhang, Linjiajie Fang, Kexin Shi et al.3 citations
- QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers ↗Ethan Che, Ang Li, Ethan Che et al.3 citations
- RAGraph: A General Retrieval-Augmented Graph Learning Framework ↗Xinke Jiang, Rihong Qiu, Yongxin Xu et al.3 citations
- REBEL: Reinforcement Learning via Regressing Relative Rewards ↗Zhaolin Gao, Jonathan Chang, Wenhao Zhan et al.3 citations
- RL-GPT: Integrating Reinforcement Learning and Code-as-policy ↗Shaoteng Liu, Haoqi Yuan, Minda Hu et al.3 citations
- Randomized Strategic Facility Location with Predictions ↗Eric Balkanski, Vasilis Gkatzelis, Golnoosh Shahkarami3 citations
- ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration ↗Chi-Wei Hsiao, Yu-Lun Liu, Cheng-Kun Yang et al.3 citations
- Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer ↗Anqi Mao, Mehryar Mohri, Yutao Zhong3 citations
- Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model ↗Ziqi Xie, Weidong Zhao, Xianhui Liu et al.3 citations
- Reconstruction of Manipulated Garment with Guided Deformation Prior ↗Ren Li, Corentin Dumery, Zhantao Deng et al.3 citations
- Referencing Where to Focus: Improving Visual Grounding with Referential Query ↗Yabing Wang, Zhuotao Tian, Qingpei Guo et al.3 citations
- Referring Human Pose and Mask Estimation In the Wild ↗Bo Miao, Mingtao Feng, Zijie Wu et al.3 citations
- Reinforcement Learning with Lookahead Information ↗Nadav Merlis3 citations
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