NeurIPS 2023: all accepted papers

3,540 papers · page 23 of 36 · the most cited first · ← NeurIPS 2023

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective ↗Zeyu Zhang, Yi Su, Hui Yuan et al.2 citations
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation ↗Shaolei Zhang, Yang Feng2 citations
Unifying GANs and Score-Based Diffusion as Generative Particle Models ↗Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos et al.2 citations
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization ↗Thomas Fel, Thibaut Boissin, Victor Boutin et al.2 citations
Unsupervised Anomaly Detection with Rejection ↗Lorenzo Perini, Jesse Davis2 citations
Use perturbations when learning from explanations ↗Juyeon Heo, Vihari Piratla, Matthew Wicker et al.2 citations
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation ↗Zekun Qi, Muzhou Yu, Runpei Dong et al.2 citations
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions ↗Michael Scherbela, Leon Gerard, Philipp Grohs2 citations
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models ↗Yonatan Bitton, Hritik Bansal, Jack Hessel et al.2 citations
Wasserstein distributional robustness of neural networks ↗Xingjian Bai, Guangyi He, Yifan Jiang et al.2 citations
What Can We Learn from Unlearnable Datasets? ↗Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping et al.2 citations
When Does Optimizing a Proper Loss Yield Calibration? ↗Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu et al.2 citations
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation ↗Xinhong Ma, Yiming Wang, Hao Liu et al.2 citations
Your representations are in the network: composable and parallel adaptation for large scale models ↗Yonatan Dukler, Alessandro Achille, Hao Yang et al.2 citations
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models ↗Tianyu Chen, Kevin Bello, Bryon Aragam et al.2 citations
k-Means Clustering with Distance-Based Privacy ↗Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan et al.2 citations
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy ↗Chenglin Fan, Ping Li, Xiaoyun Li2 citations
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data ↗Jing Gong, Minsheng Hao, Xingyi Cheng et al.2 citations
(Amplified) Banded Matrix Factorization: A unified approach to private training ↗Christopher A. Choquette-Choo, Arun Ganesh, Ryan McKenna et al.1 citation
3D Indoor Instance Segmentation in an Open-World ↗Mohamed El Amine Boudjoghra, Salwa Al Khatib, Jean Lahoud et al.1 citation
A Bayesian Take on Gaussian Process Networks ↗Enrico Giudice, Jack Kuipers, Giusi Moffa1 citation
A Causal Framework for Decomposing Spurious Variations ↗Drago Plečko, Elias Bareinboim1 citation
A Computationally Efficient Sparsified Online Newton Method ↗Fnu Devvrit, Sai Surya Duvvuri, Rohan Anil et al.1 citation
A Cross-Moment Approach for Causal Effect Estimation ↗Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash1 citation
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent ↗Jiaxin Shi, Lester Mackey1 citation
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games ↗Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar et al.1 citation
A General Framework for Robust G-Invariance in G-Equivariant Networks ↗Sophia Sanborn, Nina Miolane1 citation
A General Theory of Correct, Incorrect, and Extrinsic Equivariance ↗Dian Wang, Xupeng Zhu, Jung Yeon Park et al.1 citation
A Heavy-Tailed Algebra for Probabilistic Programming ↗Feynman Liang, Liam Hodgkinson, Michael W. Mahoney1 citation
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space ↗Wenchong He, Zhe Jiang, Tingsong Xiao et al.1 citation
A Massive Scale Semantic Similarity Dataset of Historical EnglishEmily Silcock, Abhishek Arora, Melissa Dell1 citation · our summary
A Metadata-Driven Approach to Understand Graph Neural Networks ↗Ting Wei Li, Qiaozhu Mei, Jiaqi Ma1 citation
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence ↗Carlo Alfano, Rui Yuan, Patrick Rebeschini1 citation
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment ↗Yixuan Xu, Steven Jecmen, Zimeng Song et al.1 citation
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search ↗Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik1 citation
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints ↗Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck1 citation
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback ↗Yunchang Yang, Han Zhong, Tianhao Wu et al.1 citation
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems ↗Matthew Bendel, Rizwan Ahmad, Philip Schniter1 citation
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods ↗Veit Wild, Sahra Ghalebikesabi, Dino Sejdinović et al.1 citation
A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem ↗Akshaykumar G. Gattani, Sharath Raghvendra, Pouyan Shirzadian1 citation
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm ↗Qi Wang, Yiqin Lv, Yanghe Feng et al.1 citation
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression ↗Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios et al.1 citation
A Unified Fast Gradient Clipping Framework for DP-SGD ↗Weiwei Kong, Andrés Muñoz Medina1 citation
A Unified Framework for Rank-based Loss Minimization ↗Rufeng Xiao, Yuze Ge, Rujun Jiang et al.1 citation
A benchmark of categorical encoders for binary classification ↗Federico Matteucci, Vadim Arzamasov, Klemens Böhm1 citation
A fast heuristic to optimize time-space tradeoff for large models ↗Akifumi Imanishi, Zijian Xu, Masayuki Takagi et al.1 citation
A graphon-signal analysis of graph neural networks ↗Ron Levie1 citation
AIMS: All-Inclusive Multi-Level Segmentation for Anything ↗Lu Qi, Jason Kuen, Weidong Guo et al.1 citation
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning ↗Mingyu Xu, Zheng Lian, Lei Feng et al.1 citation
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity ↗Trung Hiếu Lê, Leo R. Scholl, Trung Le et al.1 citation
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis ↗Jiarong Ding, Xuehu Zhu1 citation
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration ↗Dongyoung Kim, Jinwoo Shin, Pieter Abbeel et al.1 citation
Accessing Higher Dimensions for Unsupervised Word Translation ↗Sida I. Wang1 citation
Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement ↗Shizhe Ding, Boyang Xia, Dongbo Bu1 citation
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering ↗Erik Arakelyan, Pasquale Minervini, Daniel Daza et al.1 citation
Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects ↗Zhuofan Ying, Peter Hase, Mohit Bansal1 citation
Adaptive Privacy Composition for Accuracy-first Mechanisms ↗Ryan Rogers, Gennady Samorodnitsk, Steven Wu et al.1 citation
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds ↗Naoki Nishikawa, Yuichi Ike, Kenji Yamanishi1 citation
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations ↗Tsai Hor Chan, Kin Wai Lau, Jiajun Shen et al.1 citation
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels ↗Vijay Veerabadran, Srinivas Ravishankar, Yuan Tang et al.1 citation
Adaptive whitening with fast gain modulation and slow synaptic plasticity ↗Lyndon Duong, Eero P. Simoncelli, Dmitri B. Chklovskii et al.1 citation
Add and Thin: Diffusion for Temporal Point Processes ↗David Lüdke, Marin Biloš, Oleksandr Shchur et al.1 citation
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation ↗Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas et al.1 citation
Adversarial Attacks on Online Learning to Rank with Click Feedback ↗Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang et al.1 citation
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces ↗Odelia Melamed, Gilad Yehudai, Gal Vardi1 citation
Advice Querying under Budget Constraint for Online Algorithms ↗Ziyad Benomar, Vianney Perchet1 citation
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems ↗Chaoyue Liu, Dmitriy Drusvyatskiy, Misha Belkin et al.1 citation
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing ↗Ziye Ma, Javad Lavaei, Somayeh Sojoudi1 citation
Aligning Language Models with Human Preferences via a Bayesian Approach ↗Jiashuo Wang, Haozhao Wang, Shichao Sun et al.1 citation
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations ↗Haoran Yang, Xiangyu Zhao, Yicong Li et al.1 citation
An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits ↗Shinji Ito, Kei Takemura1 citation
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits ↗Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin et al.1 citation
An Information Theory Perspective on Variance-Invariance-Covariance Regularization ↗Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi et al.1 citation
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization ↗Marco Rando, Cesare Molinari, Lorenzo Rosasco et al.1 citation
An active learning framework for multi-group mean estimation ↗Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub1 citation
Anonymous and Copy-Robust Delegations for Liquid Democracy ↗Markus Utke, Ulrike Schmidt-Kraepelin1 citation
Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling ↗Yoav Kolumbus, Menahem Levy, Noam Nisan1 citation
Attacks on Online Learners: a Teacher-Student Analysis ↗Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti1 citation
Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect ↗Xiaolei Ru, Xinya Zhang, Zijia Liu et al.1 citation
Auditing Fairness by Betting ↗Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder et al.1 citation
Automated Classification of Model Errors on ImageNet ↗Momchil Peychev, Mark Niklas Müller, Marc Fischer et al.1 citation
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks ↗Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas et al.1 citation
Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release ↗Yufan Li, Jialiang Mao, Iavor Bojinov1 citation
Batchnorm Allows Unsupervised Radial Attacks ↗Amur Ghose, Apurv Gupta, Yaoliang Yu et al.1 citation
BayesTune: Bayesian Sparse Deep Model Fine-tuning ↗Minyoung Kim, Timothy M. Hospedales1 citation
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors ↗Farzad Pourkamali, Nicolas Macris1 citation
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval ↗Frederik Warburg, Marco Miani, Silas Brack et al.1 citation
Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback ↗Jangwon Kim, Hangyeol Kim, Jiwook Kang et al.1 citation
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction ↗Mahesh Shakya, Bishesh Khanal1 citation
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase ↗Qiuyu Wang, Zifan Shi, Kecheng Zheng et al.1 citation
Better Private Linear Regression Through Better Private Feature Selection ↗Travis Dick, Jennifer Gillenwater, Matthew Joseph1 citation
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations ↗Qingyao Sun, Kevin Murphy, Sayna Ebrahimi et al.1 citation
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends ↗Wang Xinrui, Wenhai Wan, Chuanxing Geng et al.1 citation
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation ↗Myong Chol Jung, He Zhao, Joanna F. Dipnall et al.1 citation
Bi-Level Offline Policy Optimization with Limited Exploration ↗Wenzhuo Zhou1 citation
Binarized Neural Machine Translation ↗Yichi Zhang, Ankush Garg, Yuan Cao et al.1 citation
Black-Box Differential Privacy for Interactive ML ↗Haim Y. Kaplan, Yishay Mansour, Shay Moran et al.1 citation
Block Broyden's Methods for Solving Nonlinear Equations ↗Chengchang Liu, Cheng Chen, Luo Luo et al.1 citation
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games ↗Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer1 citation
Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks ↗Jiaxu Tian, Dapeng Zhi, Si Liu et al.1 citation

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/23/

📰 NeurIPS 2023: all accepted papers

NeurIPS 2023: all accepted papers