NeurIPS 2023: all accepted papers

3,540 papers · page 24 of 36 · the most cited first · ← NeurIPS 2023

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences ↗Minsu Kim, Federico Berto, Sungsoo Ahn et al.1 citation
Bounded rationality in structured density estimation ↗Tianyuan Teng, Li Kevin Wenliang, Hang Zhang1 citation
Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy ↗Richeng Jin, Zhonggen Su, Caijun Zhong et al.1 citation
Budgeting Counterfactual for Offline RL ↗Yao Liu, Pratik Chaudhari, Rasool Fakoor1 citation
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark ↗Nikita Gushchin, Alexander Kolesov, Petr Mokrov et al.1 citation
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder ↗Xiaoyu Liu, Jiaxin Yuan, Bang An et al.1 citation
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging ↗Zitong Sam Chen, Chau Pham, Siqi Wang et al.1 citation
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions ↗Juan M. Cardenas, Ben Adcock, Nick Dexter1 citation
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability ↗Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh et al.1 citation
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics ↗Charlie Marx, Sofian Zalouk, Stefano Ermon1 citation
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches ↗Ke Li, Ke Li1 citation
Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments ↗Dairui Wang, Junyu Cao, Yan Zhang et al.1 citation
Cascading Contextual Assortment Bandits ↗Hyun-Jun Choi, Rajan Udwani, Min-hwan Oh1 citation
Causal Effect Identification in Uncertain Causal Networks ↗Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian et al.1 citation
Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks ↗Alexander Schlögl, Nora Hofer, Rainer Böhme1 citation
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity ↗Jiaqi Liu, Jian Lou, Zhan Qin et al.1 citation
Characterizing Out-of-Distribution Error via Optimal Transport ↗Yuzhe Lu, Yilong Qin, Runtian Zhai et al.1 citation
Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark ↗Xiao-Yang Liu, Zeliang Zhang1 citation
Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits ↗Ruo-Chun Tzeng, Po-An Wang, Alexandre Proutière et al.1 citation
Closing the gap between the upper bound and lower bound of Adam's iteration complexity ↗Bohan Wang, Jingwen Fu, Huishuai Zhang et al.1 citation
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra ↗Andres Potapczynski, Marc Finzi, Geoff Pleiss et al.1 citation
Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections ↗Talia Konkle, George A. Alvarez1 citation
Collaborative Learning via Prediction Consensus ↗Dongyang Fan, Celestine Dünner, Martin Jaggi1 citation
Collaborative Score Distillation for Consistent Visual Editing ↗Subin Kim, Kyungmin Lee, June Suk Choi et al.1 citation
Collaboratively Learning Linear Models with Structured Missing Data ↗Chen Cheng, Gary Cheng, John C. Duchi1 citation
Collapsed Inference for Bayesian Deep Learning ↗Zhe Zeng, Guy Van den Broeck1 citation
Complexity of Derivative-Free Policy Optimization for Structured H∞ Control ↗Xingang Guo, Darioush Keivan, Geir E. Dullerud et al.1 citation
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy ↗Amit Daniely, Nathan Srebro, Gal Vardi1 citation
Computing Optimal Nash Equilibria in Multiplayer Games ↗Bo An, Bo An, Venkatramanan Subrahmanian1 citation
Computing a human-like reaction time metric from stable recurrent vision models ↗Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok et al.1 citation
Conditional Matrix Flows for Gaussian Graphical Models ↗Marcello Massimo Negri, Fabricio Arend Torres, Volker Röth1 citation
Conditional independence testing under misspecified inductive biases ↗Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee1 citation
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems ↗Sihan Zeng, Thinh T. Doan, Justin Romberg1 citation
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes ↗Yishi Xu, Jianqiao Sun, Yudi Su et al.1 citation
Contextual Bandits and Imitation Learning with Preference-Based Active Queries ↗Ayush Sekhari, Karthik Sridharan, Wen Sun et al.1 citation
Contextual Gaussian Process Bandits with Neural Networks ↗Haoting Zhang, Jinghai He, Rhonda Righter et al.1 citation
Coordinating Distributed Example Orders for Provably Accelerated Training ↗A. Feder Cooper, Wentao Guo, Duc Khiem Pham et al.1 citation
Corruption-Robust Offline Reinforcement Learning with General Function Approximation ↗Chenlu Ye, Rui Yang, Quanquan Gu et al.1 citation
CosNet: A Generalized Spectral Kernel Network ↗Yanfang Xue, Pengfei Fang, Jinyue Tian et al.1 citation
Counterfactual Generation with Identifiability Guarantees ↗Hanqi Yan, Lingjing Kong, Lin Gui et al.1 citation
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation ↗Palak Jain, Iden Kalemaj, Sofya Raskhodnikova et al.1 citation
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications ↗Darshil Doshi, Tianyu He, Andrey Gromov1 citation
Cross-Episodic Curriculum for Transformer Agents ↗Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby et al.1 citation
Curvature Filtrations for Graph Generative Model Evaluation ↗Joshua Southern, Jeremy Wayland, Michael Bronstein et al.1 citation
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization ↗Hua Wang, Sheng Gao, Huanyu Zhang et al.1 citation
Data Minimization at Inference Time ↗Cuong Tran, Ferdinando Fioretto1 citation
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations ↗Jungtaek Kim, Mingxuan Li, Oliver Hinder et al.1 citation
Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery ↗Tingyu Weng, Jun Xiao, Haiyong Jiang1 citation
Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild ↗Yanhui Guo, Xinxin Zuo, Peng Dai et al.1 citation
Deep Momentum Multi-Marginal Schrödinger Bridge ↗Tianrong Chen, Guan-Horng Liu, Molei Tao et al.1 citation
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model ↗Peter Súkeník, Marco Mondelli, Christoph Lampert1 citation
DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization ↗Aditya Vora, Akshay Gadi Patil, Hao Zhang1 citation
Differentiable Clustering with Perturbed Spanning Forests ↗Lawrence Stewart, Francis Bach, Felipe Llinares-López et al.1 citation
Differentiable sorting for censored time-to-event data. ↗Andre Vauvelle, Benjamin Wild, Roland Eils et al.1 citation
Differentially Private Approximate Near Neighbor Counting in High Dimensions ↗Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi et al.1 citation
Diffusion Probabilistic Models for Structured Node Classification ↗Hyosoon Jang, Seonghyun Park, Sangwoo Mo et al.1 citation
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data ↗Saptarshi Roy, Raymond K. W. Wong, Yang Ni1 citation
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning ↗Seungyong Moon, Junyoung Yeom, Bumsoo Park et al.1 citation
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering ↗Tianxiao Li, Hongyu Guo, Filippo Grazioli et al.1 citation
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power ↗Junru Zhou, Jiarui Feng, Xiyuan Wang et al.1 citation
Distribution Learnability and Robustness ↗Shai Ben-David, Alex Bie, Gautam Kamath et al.1 citation
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods ↗Shang Liu, Zhongze Cai, Xiaocheng Li1 citation
Distribution-Free Statistical Dispersion Control for Societal Applications ↗Zhun Deng, Thomas P. Zollo, Jake Snell et al.1 citation
Distributionally Robust Bayesian Optimization with φ-divergences ↗Hisham Husain, Vu Hoang Nguyen, Anton van den Hengel1 citation
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training ↗Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao et al.1 citation
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning ↗Casey Meehan, Florian Bordes, Pascal Vincent et al.1 citation
Does a sparse ReLU network training problem always admit an optimum ? ↗Tung Le, Rémi Gribonval, Elisa Riccietti1 citation
Domain Adaptive Imitation Learning with Visual Observation ↗Sungho Choi, Seungyul Han, Woojun Kim et al.1 citation
Doubly Constrained Fair Clustering ↗John W. T. Dickerson, Seyed Ali Haji Esmaeili, Jamie Morgenstern et al.1 citation
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning ↗Yuankun Jiang, Nuowen Kan, Chenglin Li et al.1 citation
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets ↗Lazar Atanackovic, Alexander A. Tong, Bo Wang et al.1 citation
DynaDojo: An Extensible Platform for Benchmarking Scaling in Dynamical System Identification ↗Logan Mondal Bhamidipaty, Tommy Bruzzese, Caryn Tran et al.1 citation
Dynamic Non-monotone Submodular Maximization ↗Kiarash Banihashem, Leyla Biabani, Samira Goudarzi et al.1 citation
Dynamic Pricing and Learning with Bayesian Persuasion ↗Shipra Agrawal, Yiding Feng, Wei Tang1 citation
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies ↗Michael Beukman, Devon Jarvis, Richard Klein et al.1 citation
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks ↗Zihang Shao, Chaoran Feng, YaXin Li et al.1 citation
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy ↗Qiyao Huang, Yingyue Zhang, Zhihong Zhang et al.1 citation
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes ↗Connor Toups, Rishi Bommasani, Kathleen Creel et al.1 citation
Effective Targeted Attacks for Adversarial Self-Supervised Learning ↗Minseon Kim, Hyeonjeong Ha, Sooel Son et al.1 citation
Efficient Hyper-parameter Optimization with Cubic Regularization ↗Zhenqian Shen, Hansi Yang, Yong Li et al.1 citation
Efficient Learning of Linear Graph Neural Networks via Node Subsampling ↗Seiyun Shin, Ilan Shomorony, Han Zhao1 citation
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations ↗Minshuo Chen, Yu Bai, H. Vincent Poor et al.1 citation
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs ↗Lin Yang, Junlong Lyu, Wenlong Lyu et al.1 citation
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models ↗Anant Raj, Umut Simsekli, Alessandro Rudi1 citation
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression ↗Jiaming Guo, Rui Zhang, Shaohui Peng et al.1 citation
Efficiently incorporating quintuple interactions into geometric deep learning force fields ↗Zun Wang, Guoqing Liu, Yichi Zhou et al.1 citation
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples ↗Shashanka Venkataramanan, Ewa Kijak C, Laurent Amsaleg et al.1 citation
Emergent Communication in Interactive Sketch Question Answering ↗Zixing Lei, Yiming Zhang, Yuxin Xiong et al.1 citation
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork ↗Qiang Gao, Xiaojun Shan, Yuchen Zhang et al.1 citation
Equivariant Neural Operator Learning with Graphon Convolution ↗Chaoran Cheng, Jian Xun Peng1 citation
Equivariant Single View Pose Prediction Via Induced and Restriction Representations ↗Owen Howell, David Klee, Ondřej Bíža et al.1 citation
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors ↗Beepul Bharti, Paul Hyunsoo Yi, Jeremias Sulam1 citation
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts ↗Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin et al.1 citation
Evolving Standardization for Continual Domain Generalization over Temporal Drift ↗Mixue Xie, Shuang Li, Longhui Yuan et al.1 citation
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings ↗Sudhanshu Chanpuriya, Ryan Rossi, Anup Rao et al.1 citation
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model ↗Maximilien Dreveton, Felipe Schreiber Fernandes, Daniel R. Figueiredo1 citation
Experiment Planning with Function Approximation ↗Aldo Pacchiano, Jonathan N Lee, Emma Brunskill1 citation
Explainable Brain Age Prediction using coVariance Neural Networks ↗Saurabh Sihag, Gonzalo Mateos, Corey McMillan et al.1 citation
Explainable and Efficient Randomized Voting Rules ↗Soroush Ebadian, Aris Filos-Ratsikas, Mohamad Latifian et al.1 citation
Explore to Generalize in Zero-Shot RL ↗Ev Zisselman, Itai Lavie, Daniel Soudry et al.1 citation

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/24/

📰 NeurIPS 2023: all accepted papers

NeurIPS 2023: all accepted papers