NeurIPS 2024: all accepted papers
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- Why the Metric Backbone Preserves Community Structure ↗Maximilien Dreveton, Charbel Chucri, Matthias Grossglauser et al.1 citation
- WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata ↗Liane Vogel, Jan-Micha Bodensohn, Carsten Binnig1 citation
- XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation ↗Ziyi Wang, Yan‐Bo Wang, Xumin Yu et al.1 citation
- Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training ↗Yunshu Wu, Yingtao Luo, Xianghao Kong et al.1 citation
- Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering ↗Ido Sobol, Chenfeng Xu, Or Litany1 citation
- Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference ↗Geng Chen, Yinxu Jia, Guanghui Wang et al.1 citation
- cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers ↗Anirudh Sundar, Jin Xu, William Gay et al.1 citation
- dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans ↗Marek Herde, Denis Huseljic, Lukas Rauch et al.1 citation
- fMRI predictors based on language models of increasing complexity recover brain left lateralization ↗Laurent Bonnasse‐Gahot, Christophe Pallier1 citation
- pfl-research: simulation framework for accelerating research in Private Federated Learning ↗Filip Granqvist, Congzheng Song, Áine Cahill et al.1 citation
- 3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition ↗Mahmoud Ahmed, Xiang Yang Li, Arpit Prajapati et al.
- A Bayesian Approach to Data Point Selection ↗Xinnuo Xu, Minyoung Kim, Royson Lee et al.
- A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers ↗Xin Zou, Zhengyu Zhou, Jingyuan Xu et al.
- A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics ↗Lennert De Smet, Pedro Zuidberg Dos Martires
- A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding ↗Yitong Dong, Yijin Li, Zhaoyang Huang et al.
- A Kernel Perspective on Distillation-based Collaborative Learning ↗Sejun Park, Kihun Hong, Ganguk Hwang
- A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs ↗Haoxuan Li, Haoxuan Li, Zhi Geng et al.
- A Metalearned Neural Circuit for Nonparametric Bayesian Inference ↗Jake Snell, Gianluca Bencomo, Thomas L. Griffiths
- A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking ↗Hao Chen, Yufei Zhu, Yongjian Deng
- A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise ↗Ilias Diakonikolas, Nikos Zarifis
- A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models ↗Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
- A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection ↗Seung‐Hwan Bae, Yongsang Yoo, Seung-Hwan Bae
- A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning ↗Julia Nakhleh, Joseph Shenouda, Robert Marek Nowak
- A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics ↗Puze Liu, Jonas Günster, Niklas Funk et al.
- A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers ↗Ye He, Alireza Mousavi-Hosseini, Krishnakumar Balasubramanian et al.
- A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations ↗Wonil Song, Hyesong Choi, Kwanghoon Sohn et al.
- A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective ↗Yeonsung Jung, Jaeyun Song, June Yong Yang et al.
- A Simple and Optimal Approach for Universal Online Learning with Gradient Variations ↗Yu-Hu Yan, Peng Zhao, Zhihua Zhou
- A Theory of Optimistically Universal Online Learnability for General Concept Classes ↗Steve Hanneke, Hongao Wang
- A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits ↗Jungyhun Lee, Se-Young Yun, Kwang-Sung Jun
- A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch ↗Yue Wang, Zhongchang Sun, Shaofeng Zou
- A Unifying Normative Framework of Decision Confidence ↗Amelia Johnson, Micheal Buice, Koosha Khalvati
- A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems ↗Mohammad-Amin Charusaie, Samira Samadi
- A Universal Growth Rate for Learning with Smooth Surrogate Losses ↗Anqi Mao, Mehryar Mohri, Yutao Zhong
- A robust inlier identification algorithm for point cloud registration via 0-minimization ↗Yinuo Jiang, Xiuchuan Tang, Cheng Cheng et al.
- A teacher-teacher framework for clinical language representation learning ↗Feiqing Huang, Shenghan Zhang, Sara Morini Sweet et al.
- ACFun: Abstract-Concrete Fusion Facial Stylization ↗Jiapeng Ji, Kun Wei, Ziqi Zhang et al.
- ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models ↗Xiang Meng, Kayhan Behdin, Haoyue Wang et al.
- AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models ↗Yuchen Fu, Zhiwei Jiang, Yuchen Fu et al.
- AUC Maximization under Positive Distribution Shift ↗Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi et al.
- Abductive Reasoning in Logical Credal Networks ↗Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya et al.
- Abrupt Learning in Transformers: A Case Study on Matrix Completion ↗Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu
- Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences ↗Zehui Li, Yuhao Ni, Guoxuan Xia et al.
- Accelerated Regularized Learning in Finite N-Person Games ↗Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos et al.
- Accelerating Augmentation Invariance Pretraining ↗Jinhong Lin, Cheng-En R. Wu, Yibing Wei et al.
- Accelerating Blockwise Parallel Language Models with Draft Refinement ↗Taehyeon Kim, Ananda Suresh, Kishore Papineni et al.
- Accelerating ERM for data-driven algorithm design using output-sensitive techniques ↗Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma
- Accelerating Matroid Optimization through Fast Imprecise Oracles ↗Franziska Carola Eberle, Felix Hommelsheim, Alexander Lindermayr et al.
- Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play ↗Ju Qi, Falin Hei, Feng Ting et al.
- Accelerating Relative Entropy Coding with Space Partitioning ↗Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato
- Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values ↗Aleksandr V. Lobanov, Alexander Vladimirovich Gasnikov, Andrei Krasnov
- Achievable Fairness on Your Data With Utility Guarantees ↗Muhammad Faaiz Taufiq, Jean-François Ton, Yang Liu
- Achievable distributional robustness when the robust risk is only partially identified ↗Julia Kostin, Nicola Gnecco, Fanny Yang
- Achieving Constant Regret in Linear Markov Decision Processes ↗Weitong Zhang, Zhiyuan Fan, Jiafan He et al.
- Achieving Domain-Independent Certified Robustness via Knowledge Continuity ↗Alan Sun, Chiyu Ma, Kenneth Ge et al.
- ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets ↗Yiqi Jiang, Hakki Orhun Akengin, Ji Zhou et al.
- Activating Self-Attention for Multi-Scene Absolute Pose Regression ↗Miso Lee, Ji‐Hwan Kim, Jae-Pil Heo
- Active Classification with Few Queries under Misspecification ↗Vasilis Kontonis, Mingchen Ma, Christos Tzamos
- Active Learning of General Halfspaces: Label Queries vs Membership Queries ↗Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma
- Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios ↗Nicolás Astorga, Tennison Liu, Nabeel Seedat et al.
- Active Set Ordering ↗Quoc Phong Nguyen, Sunil Gupta, Svetha Venkatesh et al.
- Adaptive Domain Learning for Cross-domain Image Denoising ↗Zian Qian, Chenyang Qi, Ka Lung Law et al.
- Adaptive Experimentation When You Can't Experiment ↗Yao Zhao, Kwang-Sung Jun, Tanner Fiez et al.
- Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences ↗Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy et al.
- Addressing Bias in Online Selection with Limited Budget of Comparisons ↗Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder et al.
- Advection Augmented Convolutional Neural Networks ↗Niloufar Zakariaei, Siddharth Rout, Eldad Haber et al.
- Adversarial Environment Design via Regret-Guided Diffusion Models ↗Hojun Chung, Junseo Lee, Minsoo Kim et al.
- Adversarially Robust Decision Transformer ↗Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban et al.
- Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters ↗David P. Woodruff, Samson Zhou
- Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning ↗Honghao Wei, Xiyue Peng, Arnob Ghosh et al.
- Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction ↗Yixuan Xu, Hanrui Zhang, Yu Cheng et al.
- Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms ↗Miaosen Zhang, Yixuan Wei, Zhen Xing et al.
- Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits ↗Shuai Liu, Alex Ayoub, Flore Sentenac et al.
- Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits ↗Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
- Almost Surely Asymptotically Constant Graph Neural Networks ↗Sam Adam-Day, Michael Benedikt, İsmail İlkan Ceylan et al.
- Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection ↗Dongsu Song, Daehwan Ko, Jay Hoon Jung
- Amortized Planning with Large-Scale Transformers: A Case Study on Chess ↗Anian Ruoss, Grégoire Delétang, Sourabh Medapati et al.
- An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints ↗Jung-hun Kim, Milan Vojnović, Se-Young Yun
- An Equivalence Between Static and Dynamic Regret Minimization ↗Andrew Jacobsen, Francesco Orabona
- An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations ↗Weimin Bai, Yifei Wang, Wenzheng Chen et al.
- An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models ↗Yue Hu, Difan Zou, Difan Zou
- An effective framework for estimating individualized treatment rules ↗Joowon Lee, Jared D Huling, Guanhua Chen
- An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem ↗Yoonsoo Nam, Nayara Fonseca, Seok Lee et al.
- An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching ↗Hugo Malard, Michel Olvera, Stéphane Lathuilière et al.
- Analysis of Corrected Graph Convolutions ↗Robert Wang, Aseem Baranwal, Kimon Fontoulakis
- Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss ↗Paul Krzakala, Junjie Yang, Rémi Flamary et al.
- Any2Policy: Learning Visuomotor Policy with Any-Modality ↗Yichen Zhu, Zhicai Ou, Feifei Feng et al.
- Approximately Equivariant Neural Processes ↗Matthew Ashman, Cristiana Diaconu, Adrian Weller et al.
- Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering ↗Anna Arutyunova, Jan Eube, Heiko Röglin et al.
- Approximating the Top Eigenvector in Random Order Streams ↗Praneeth Kacham, David P. Woodruff
- Approximation-Aware Bayesian Optimization ↗Natalie Maus, Kyurae Kim, Geoff Pleiss et al.
- Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification ↗Jannik Franzen, Claudia Winklmayr, Vanessa Emanuela Guarino et al.
- Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? ↗Lingao Xiao, Yang He
- Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology ↗Dhananjay Tomar, Alexander Binder, Andreas Kleppe
- Artemis: Towards Referential Understanding in Complex Videos ↗Jihao Qiu, Yuan Zhang, Xi Tang et al.
- Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval ↗Yang Xu, Yifan Feng, Jun Zhang et al.
- Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation ↗Junlei Zhou, Jiashi Gao, Xiangyu Zhao et al.
- Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families ↗François Bertholom, Randal Douc, François Roueff
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