NeurIPS 2024: all accepted papers
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- Local and Adaptive Mirror Descents in Extensive-Form Games ↗Côme Fiegel, Pierre Ménard, Tadashi Kozuno et al.
- Local to Global: Learning Dynamics and Effect of Initialization for Transformers ↗Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote et al.
- Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild ↗Jianan Yang, Chenchao Gao, Zhiqing Xiao et al.
- Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk ↗Yuzhou Gu, Nikki Lijing Kuang, Yi-An Ma et al.
- Lookback Prophet Inequalities ↗Ziyad Benomar, Dorian Baudry, Vianney Perchet
- Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization ↗Rongzhen Wang, Chenyu Zheng, Guoqiang Wu et al.
- MALT Powers Up Adversarial Attacks ↗Odelia Melamed, Gilad Yehudai, Adi Shamir
- MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models ↗Guanghao Zheng, Chenglin Li, Wenrui Dai et al.
- MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs ↗Quentin Leboutet, Nina Wiedemann, Zhipeng Cai et al.
- Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning ↗Qi Wang, Qi Wang, Yunbo Wang et al.
- Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets ↗Cherie Ho, Jiaye Zou, Omar Alama et al.
- Marginal Causal Flows for Validation and Inference ↗Daniel de Vassimon Manela, Laura Battaglia, Robin Evans
- Mars: Situated Inductive Reasoning in an Open-World Environment ↗Xiaojuan Tang, Jiaqi Li, Yitao Liang et al.
- Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent ↗Yiwen Kou, Zixiang Chen, Quanquan Gu et al.
- MatrixNet: Learning over symmetry groups using learned group representations ↗Lucas Laird, Circe Hsu, Asilata Bapat et al.
- Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow ↗Chen-Hao Chao, Chien Feng, Wei-Fang Sun et al.
- MeLLoC: Lossless Compression with High-order Mechanism Learning ↗Xinyue Luo, Jin Cheng, Yu Chen
- MeMo: Meaningful, Modular Controllers via Noise Injection ↗Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama et al.
- Measuring Dejavu Memorization Efficiently ↗Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes et al.
- Measuring Goal-Directedness ↗Matt MacDermott, James Fox, Francesco Belardinelli et al.
- Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence ↗Rakshit Trivedi, Akbir Khan, Jesse Clifton et al.
- Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs ↗Xin Ma, Yang Liu, Jingjing Liu et al.
- Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration ↗Yun-Yen Chuang, Hung-Min Hsu, Kevin Lin et al.
- MetaCURL: Non-stationary Concave Utility Reinforcement Learning ↗Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard et al.
- Metric Transforms and Low Rank Representations of Kernels for Fast Attention ↗Timothy Chu, Josh Alman, Gary Lee Miller et al.
- Microstructures and Accuracy of Graph Recall by Large Language Models ↗Yanbang Wang, Hejie Cui, Jon M. Kleinberg
- Mind the Gap Between Prototypes and Images in Cross-domain Finetuning ↗Hongduan Tian, Tongliang Liu, Zhanke Zhou et al.
- Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning ↗Xu Yang, Chen Liu, Ying Wei
- Mixture of Demonstrations for In-Context Learning ↗Song Wang, Zihan Chen, Cong Shen et al.
- MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence ↗Fuming You, Minghui Fang, Tang Li et al.
- Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA ↗Lifeng Qiao, Peng Ye, Yuchen Ren et al.
- Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild ↗Xinyu Zhao, Guoheng Sun, Ruisi Cai et al.
- Motion Graph Unleashed: A Novel Approach to Video Prediction ↗Yiqi Zhong, Luming Liang, Bohan Tang et al.
- MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI ↗Tobit Klug, Kun Wang, Stefan Ruschke et al.
- Multi-Agent Domain Calibration with a Handful of Offline Data ↗Tao Jiang, Lei Yuan, Lihe Li et al.
- Multi-Group Proportional Representation in Retrieval ↗Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long et al.
- Multi-Winner Reconfiguration ↗Jiehua Chen, Christian Hatschka, Sofia Simola
- Multiclass Transductive Online Learning ↗Steve Hanneke, Vinod Raman, Amirreza Shaeri et al.
- Multidimensional Fractional Programming for Normalized Cuts ↗Yannan Chen, Beichen Huang, Licheng Zhao et al.
- Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking ↗Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti et al.
- Mutli-Armed Bandits with Network Interference ↗Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero et al.
- N-agent Ad Hoc Teamwork ↗Caroline Wang, Arrasy Rahman, Ishan Durugkar et al.
- NN4SysBench: Characterizing Neural Network Verification for Computer Systems ↗Shuyi Lin, Haoyu He, Tianhao Wei et al.
- NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing ↗Guangzhao Cheng, Chengbo Fu, Lu Cheng
- Natural Counterfactuals With Necessary Backtracking ↗Guang-Yuan Hao, Jiji Zhang, Biwei Huang et al.
- Nature-Inspired Local Propagation ↗Alessandro Betti, Marco Gori
- Navigating Extremes: Dynamic Sparsity in Large Output Spaces ↗Nasib Ullah, Erik Schultheis, Mike Lasby et al.
- Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model ↗Mark Rowland, Li Kevin Wenliang, Rémi Munos et al.
- Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD ↗Aniket Das, Anant Raj, Soumyabrata Pal et al.
- Near-Optimality of Contrastive Divergence Algorithms ↗Pierre Glaser, Kevin Han Huang, Arthur Gretton
- Nearly Minimax Optimal Regret for Multinomial Logistic Bandit ↗Joongkyu Lee, Min-hwan Oh
- Nearly Minimax Optimal Submodular Maximization with Bandit Feedback ↗Artin Tajdini, Lalit Jain, Kevin Jamieson
- NeoRL: Efficient Exploration for Nonepisodic RL ↗Bhavya Sukhija, Lenart Treven, Florian Dörfler et al.
- Neural Embeddings Rank: Aligning 3D latent dynamics with movements ↗Chenggang Chen, Xiaoqin Wang, Xiaoqin Wang
- Neural Isometries: Taming Transformations for Equivariant ML ↗Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann
- Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations ↗Nima Dehmamy, Csaba Both, Jeet Mohapatra et al.
- Neural Persistence Dynamics ↗Sebastian Zeng, Florian Gräf, Martin Uray et al.
- Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit ↗Jason D. Lee, Kazusato Oko, Taiji Suzuki et al.
- NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks ↗Bernardo Esteves, Miguel Vasco, Francisco S. Melo
- NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation ↗Chaokang Jiang, Dalong Du, Jiuming Liu et al.
- No-Regret Bandit Exploration based on Soft Tree Ensemble Model ↗Shogo Iwazaki, Shinya Suzumura
- No-Regret Learning for Fair Multi-Agent Social Welfare Optimization ↗Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo
- Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation ↗Du Chen, Geoffrey A. Chua
- Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning ↗Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus et al.
- Non-geodesically-convex optimization in the Wasserstein space ↗Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams et al.
- Nonlinear dynamics of localization in neural receptive fields ↗Leon Lufkin, Andrew Saxe, Erin Grant
- Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients ↗Yuri Fonseca, Caio Peixoto, Yuri F. Saporito
- Nonstationary Sparse Spectral Permanental Process ↗Zicheng Sun, Yixuan Zhang, Zenan Ling et al.
- Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers ↗Gavia Gray, Aman Tiwari, Shane Bergsma et al.
- Novel Object Synthesis via Adaptive Text-Image Harmony ↗Zeren Xiong, Zedong Zhang, Zikun Chen et al.
- OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation ↗Yaming Guo, Chen Zhu, Hengshu Zhu et al.
- OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step ↗Owen Dugan, Donato M Jiménez-Benetó, Charlotte Loh et al.
- Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality ↗Audrey Huang, Nan Jiang
- Off-Policy Selection for Initiating Human-Centric Experimental Design ↗Ge Gao, Xi Yang, Qitong Gao et al.
- Off-policy estimation with adaptively collected data: the power of online learning ↗Jeong‐Hwan Lee, Cong Ma
- Offline Multitask Representation Learning for Reinforcement Learning ↗Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng et al.
- Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff ↗Jian Zhong Qian, Haichen Hu, David Simchi‐Levi
- OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents ↗Zihao Wang, Shaofei Cai, Zhancun Mu et al.
- On Affine Homotopy between Language Encoders ↗Robin Chan, Reda Boumasmoud, Anej Svete et al.
- On Causal Discovery in the Presence of Deterministic Relations ↗Loka Li, Haoyue Dai, Hanin Al Ghothani et al.
- On Divergence Measures for Training GFlowNets ↗Tiago da Silva, Tiago da Silva, Diego Parente Paiva Mesquita
- On Feature Learning in Structured State Space Models ↗Leena Chennuru Vankadara, Jin Xu, Moritz Haas et al.
- On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability ↗Chenyu Zheng, Wei Huang, Rongzhen Wang et al.
- On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models ↗Boyao Li, Alexander Thomson, Houssam Nassif et al.
- On Sampling Strategies for Spectral Model Sharding ↗Denis Korzhenkov, Christos Louizos
- On Socially Fair Low-Rank Approximation and Column Subset Selection ↗Zhao Song, Ali Vakilian, David P. Woodruff et al.
- On Tractable Φ-Equilibria in Non-Concave Games ↗Yang Cai, Constantinos Daskalakis, Haipeng Luo et al.
- On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models ↗Tariq Berrada, Pietro Astolfi, Melissa Hall et al.
- On the Adversarial Robustness of Benjamini Hochberg ↗Louis Chen, Roberto Szechtman, Matan Seri
- On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift ↗Pratiksha Thaker, Amrith Setlur, Zhiwei Steven Wu et al.
- On the Complexity of Identification in Linear Structural Causal Models ↗Julian Dörfler, Benito van der Zander, Markus Bläser et al.
- On the Complexity of Teaching a Family of Linear Behavior Cloning Learners ↗Shubham Bharti, Stephen J. Wright, Adish Kumar Singla et al.
- On the Computational Landscape of Replicable Learning ↗Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas et al.
- On the Efficiency of ERM in Feature Learning ↗Ayoub El Hanchi, Chris J. Maddison, Murat A. Erdogdu
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