NeurIPS 2023: all accepted papers
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- Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees ↗Đorđe Žikelić, Mathias Lechner, Abhinav Verma et al.2 citations
- Compressed Video Prompt Tuning ↗Bing Li, Jiaxin Chen, Xiuguo Bao et al.2 citations
- Conditional score-based diffusion models for Bayesian inference in infinite dimensions ↗Lorenzo Baldassari, Ali Siahkoohi, Josselin C. Garnier et al.2 citations
- Conformal Meta-learners for Predictive Inference of Individual Treatment Effects ↗Ahmed M. Alaa, Zaid Ahmad, Mark J. van der Laan2 citations
- Conformal Prediction Sets for Ordinal Classification ↗Prasenjit Dey, Srujana Merugu, Sivaramakrishnan R Kaveri2 citations
- Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning ↗Jing Zhang, Chi Zhang, Wenjia Wang et al.2 citations
- Contextual Stochastic Bilevel Optimization ↗Yifan Hu, Jie Wang, Yao Xie et al.2 citations
- Continuous Parametric Optical Flow ↗Jianqin Luo, Zhexiong Wan, Yuxin Mao et al.2 citations
- Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning ↗Siming Lan, Rui Zhang, Qi Yi et al.2 citations
- Convergence of Alternating Gradient Descent for Matrix Factorization ↗Rachel Ward, Tamara G. Kolda2 citations
- Convolution Monge Mapping Normalization for learning on sleep data ↗Théo Gnassounou, Rémi Flamary, Alexandre Gramfort2 citations
- Convolutional Visual Prompt for Robust Visual Perception ↗Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang2 citations
- Core-sets for Fair and Diverse Data Summarization ↗Sepideh Mahabadi, Stojan Trajanovski2 citations
- Counterfactually Fair Representation ↗Zhiqun Zuo, Mahdi Khalili, Xueru Zhang2 citations
- Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation ↗Hao Zheng, Hongming Li, Yong Fan A2 citations
- Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective ↗Zihan Luo, Hong Huang, Jianxun Lian et al.2 citations
- D-CIPHER: Discovery of Closed-form Partial Differential Equations ↗Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela Van Der Schaar2 citations
- DISCO-10M: A Large-Scale Music Dataset ↗Luca A. Lanzendörfer, Florian Grötschla, Emil Funke et al.2 citations
- DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein ↗Daiwen Sun, He Huang, Yao Li et al.2 citations
- Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards ↗Mengfan Xu, Diego Klabjan2 citations
- Decision Tree for Locally Private Estimation with Public Data ↗Yuheng Ma, Han Zhang, Yuchao Cai et al.2 citations
- Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory ↗Ankur Sikarwar, Mengmi Zhang2 citations
- Deep Contract Design via Discontinuous Networks ↗Tonghan Wang, Paul Dütting, Dmitry Ivanov et al.2 citations
- Deep Reinforcement Learning with Plasticity Injection ↗Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski et al.2 citations
- Deep learning with kernels through RKHM and the Perron-Frobenius operator ↗Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri2 citations
- Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image ↗Yuki Kawana, Tatsuya Harada2 citations
- Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes ↗Ali Younis, Erik B. Sudderth2 citations
- Diffused Redundancy in Pre-trained Representations ↗Vedant Nanda, Till Speicher, John W. T. Dickerson et al.2 citations
- Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning ↗Yingcong Li, Kartik Sreenivasan, Angeliki Giannou et al.2 citations
- DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method ↗Ahmed Khaled, Konstantin Mishchenko, Chi Jin2 citations
- Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models ↗Leonardo Galli, Holger Rauhut, Mark Schmidt2 citations
- Double Auctions with Two-sided Bandit Feedback ↗Soumya Basu, Abishek Sankararaman2 citations
- Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage ↗José Blanchet, Miao Lu, Tong Zhang et al.2 citations
- EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis ↗Dragos Corlatescu, Alexandru Dinu, Mihaela Găman et al.2 citations
- Efficient Activation Function Optimization through Surrogate Modeling ↗Garrett Bingham, Risto Miikkulainen2 citations
- Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards ↗Bo Xue, Yimu Wang, Yuanyu Wan et al.2 citations
- Efficient Equivariant Transfer Learning from Pretrained Models ↗Sourya Basu, Pulkit Katdare, Prasanna Sattigeri et al.2 citations
- Efficient Low-rank Backpropagation for Vision Transformer Adaptation ↗Yuedong Yang, Hung-Yueh Chiang, Guihong Li et al.2 citations
- Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric ↗Yiming Wang, Ming Yang, Renzhi Dong et al.2 citations
- Efficient Testable Learning of Halfspaces with Adversarial Label Noise ↗Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis et al.2 citations
- Entropic Neural Optimal Transport via Diffusion Processes ↗Nikita Gushchin, Alexander Kolesov, Alexander Korotin et al.2 citations
- Error Discovery By Clustering Influence Embeddings ↗Fulton Wang, Julius Adebayo, Sarah Tan et al.2 citations
- Evaluating Neuron Interpretation Methods of NLP Models ↗Yimin Fan, Fahim Dalvi, Nadir Durrani et al.2 citations
- Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach ↗Fabian Zaiser, Andrzej S. Murawski, Chih-Hao Luke Ong2 citations
- Exploiting Contextual Objects and Relations for 3D Visual Grounding ↗Li Yang, Chunfeng Yuan, Ziqi Zhang et al.2 citations
- Expressive probabilistic sampling in recurrent neural networks ↗Shirui Chen, Linxing Jiang, Rajesh P. N. Rao et al.2 citations
- FIND: A Function Description Benchmark for Evaluating Interpretability Methods ↗Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzyńska et al.2 citations
- Failure-Aware Gaussian Process Optimization with Regret Bounds ↗Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe et al.2 citations
- Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics ↗Guillaume Mahey, Laëtitia Chapel, Gilles Gasso et al.2 citations
- Fast Partitioned Learned Bloom Filter ↗Atsuki Sato, Yusuke Matsui2 citations
- Fast Trainable Projection for Robust Fine-tuning ↗Junjiao Tian, Yen‐Cheng Liu, James S Smith et al.2 citations
- Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense ↗Zhiyuan Zhang, Deli Chen, Hao Zhou et al.2 citations
- Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory ↗Zhibin Duan, Zhiyi Lv, Chaojie Wang et al.2 citations
- Finding Counterfactually Optimal Action Sequences in Continuous State Spaces ↗Stratis Tsirtsis, Manuel Gomez-Rodriguez2 citations
- Flat Seeking Bayesian Neural Networks ↗Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan et al.2 citations
- Flow Factorized Representation Learning ↗Yue Song, Andy Keller, Nicu Sebe et al.2 citations
- Flow: Per-instance Personalized Federated Learning ↗Kunjal Panchal, Sunav Choudhary, Nisarg Parikh et al.2 citations
- Focus Your Attention when Few-Shot Classification ↗Haoqing Wang, Shibo Jie, Zhihong Deng2 citations
- FouriDown: Factoring Down-Sampling into Shuffling and Superposing ↗Qi Zhu, Man Zhou, Jie Huang et al.2 citations
- From Trainable Negative Depth to Edge Heterophily in Graphs ↗Yuchen Yan, Yuzhong Chen, Huiyuan Chen et al.2 citations
- GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning ↗Haiteng Zhao, Shengchao Liu, Ma Chang et al.2 citations
- GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection ↗Namyong Park, Ryan Rossi, Xing Wang et al.2 citations
- GPEX, A Framework For Interpreting Artificial Neural Networks ↗Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray2 citations
- GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints ↗Shibal Ibrahim, Gabriel Afriat, Kayhan Behdin et al.2 citations
- GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies ↗Takahiro Mimori, Michiaki Hamada2 citations
- GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising ↗Hyeonsu Kim, Jeheon Woo, Woo Youn Kim et al.2 citations
- Geometric Neural Diffusion Processes ↗Émile Mathieu, Vincent Dutordoir, Michael Hutchinson et al.2 citations
- Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization ↗Yajie Bao, Amarda Shehu, Mingrui Liu2 citations
- Globally injective and bijective neural operators ↗Takashi Furuya, Michael Puthawala, Matti J. Lassas et al.2 citations
- Goal-Conditioned Predictive Coding for Offline Reinforcement Learning ↗Zilai Zeng, Ce Zhang, Shijie Wang et al.2 citations
- Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy ↗Anastasiia Koloskova, Ryan McKenna, Zachary Charles et al.2 citations
- Graph Convolutional Kernel Machine versus Graph Convolutional Networks ↗Zhihao Wu, Zhao Zhang, Jicong Fan2 citations
- GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search ↗Xiao Zang, Miao Yin, Jinqi Xiao et al.2 citations
- Group Fairness in Peer Review ↗Haris Aziz, Evi Micha, Nisarg Shah2 citations
- Hierarchical clustering with dot products recovers hidden tree structure ↗Annie E. Gray, Alexander Modell, Patrick Rubin‐Delanchy et al.2 citations
- High dimensional, tabular deep learning with an auxiliary knowledge graph ↗Camilo Ruiz, Hongyu Ren, Kexin Huang et al.2 citations
- Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data ↗Cheng-Hao Tu, Hong-You Chen, Zheda Mai et al.2 citations
- HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception ↗Peiyan Dong, Zhenglun Kong, Xin Meng et al.2 citations
- How hard are computer vision datasets? Calibrating dataset difficulty to viewing time ↗David Mayo, Jesse Cummings, Xinyu Lin et al.2 citations
- How to Scale Your EMA ↗Dan Busbridge, Jason Ramapuram, Pierre Ablin et al.2 citations
- How to Turn Your Knowledge Graph Embeddings into Generative Models ↗Lorenzo Loconte, Nicola Di Mauro, Robert Peharz et al.2 citations
- Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context ↗Julian Tanke, Oh‐Hun Kwon, Felix B. Mueller et al.2 citations
- Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images ↗Pai Chet Ng, Zhixiang Chi, Yannick Verdié et al.2 citations
- Imbalanced Mixed Linear Regression ↗Pini Zilber, Boaz Nadler2 citations
- Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability ↗Jingfeng Wu, Vladimir Braverman, Jason D. Lee2 citations
- Implicit Convolutional Kernels for Steerable CNNs ↗Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa2 citations
- Implicit Variational Inference for High-Dimensional Posteriors ↗Anshuk Uppal, Kristoffer Stensbo-Smidt, Wouter Boomsma et al.2 citations
- Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning ↗Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao2 citations
- Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings ↗Yi Ren, Samuel Lavoie, Michael Galkin et al.2 citations
- Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data ↗Alon Albalak, Colin Raffel, William Yang Wang2 citations
- Improving Language Plasticity via Pretraining with Active Forgetting ↗Yihong Chen, Kelly Marchisio, Roberta Răileanu et al.2 citations
- Individualized Dosing Dynamics via Neural Eigen Decomposition ↗Stav Belogolovsky, Ido Greenberg, Danny Eytan et al.2 citations
- Information Theoretic Lower Bounds for Information Theoretic Upper Bounds ↗Roi Livni2 citations
- Inner Product-based Neural Network Similarity ↗Wei Chen, Zichen Miao, Qiang Qiu2 citations
- Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile ↗Wenwen Zhang, Arvin Tashakori, Zenan Jiang et al.2 citations
- Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks ↗Alexander Modell, Ian Gallagher, Emma Ceccherini et al.2 citations
- Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach ↗Yudi Zhang, Yali Du, Biwei Huang et al.2 citations
- Investigating how ReLU-networks encode symmetries ↗Georg Bökman, Fredrik Kahl2 citations
- Is Distance Matrix Enough for Geometric Deep Learning? ↗Zian Li, Xiyuan Wang, Yinan Huang et al.2 citations
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