NeurIPS 2023: all accepted papers
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- Fine-grained Expressivity of Graph Neural Networks ↗Jan Böker, Ron Levie, Ningyuan Teresa Huang et al.4 citations
- FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow ↗Jihyun Lee, Junbong Jang, Donghwan Kim et al.4 citations
- From Tempered to Benign Overfitting in ReLU Neural Networks ↗Guy Kornowski, Gilad Yehudai, Ohad Shamir4 citations
- Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications ↗Xinyu Ma, Xu Chu, Yasha Wang et al.4 citations
- GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection ↗Jinggang Chen, Junjie Li, Xiaoyang Qu et al.4 citations
- Generalizable One-shot 3D Neural Head Avatar ↗Xueting Li, Shalini De Mello, Sifei Liu et al.4 citations
- Graph Contrastive Learning with Stable and Scalable Spectral Encoding ↗Deyu Bo, Yuan Fang, Yang Liu et al.4 citations
- Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On ↗Chenghu Du, Junyin Wang, Shuqing Liu et al.4 citations
- Greedy Poisson Rejection Sampling ↗Gergely Flamich4 citations
- Hierarchical Multi-Agent Skill Discovery ↗Mingyu Yang, Yaodong Yang, Zhenbo Lu et al.4 citations
- Hierarchical VAEs provide a normative account of motion processing in the primate brain ↗Hadi Vafaii, Jacob L. Yates, Daniel Butts4 citations
- Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space ↗Xiran Fan, Chun-Hao Yang, Baba C. Vemuri4 citations
- How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization ↗Hai Zhang, Hang Yu, Junqiao Zhao et al.4 citations
- Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language ↗Kevin Ellis4 citations
- INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms ↗Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg et al.4 citations
- Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion ↗Shengqiong Wu, Hao Fei, Hanwang Zhang et al.4 citations
- Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data ↗Yiwen Kou, Zixiang Chen, Quanquan Gu4 citations
- Improved Frequency Estimation Algorithms with and without Predictions ↗Anders Aamand, Justin Y. Chen, Huy Nguyen et al.4 citations
- Improving Self-supervised Molecular Representation Learning using Persistent Homology ↗Yuankai Luo, Lei Shi, Veronika Thost4 citations
- Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization ↗Aniket Murhekar, Zhuowen Yuan, Bhaskar Ray Chaudhury et al.4 citations
- Incentivizing Honesty among Competitors in Collaborative Learning and Optimization ↗Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev et al.4 citations
- Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training ↗Rie Johnson, Tong Zhang4 citations
- Information Geometry of the Retinal Representation Manifold ↗Xuehao Ding, Dongsoo Lee, Joshua B. Melander et al.4 citations
- Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision ↗Jiaxin Zhang, Zhuohang Li, Kamalika Das et al.4 citations
- Interactive Visual Reasoning under Uncertainty ↗Manjie Xu, Wei Liang, Wei Liang et al.4 citations
- Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation ↗David Brandfonbrener, Ofir Nachum, Joan Bruna4 citations
- Inverse Reinforcement Learning with the Average Reward Criterion ↗Feiyang Wu, Jingyang Ke, Anqi Wu4 citations
- Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning ↗Yue Tan, Chen Chen, Weiming Zhuang et al.4 citations
- Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network ↗Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian et al.4 citations
- L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference ↗Julia Linhart, Alexandre Gramfort, Pedro Luiz Coelho Rodrigues4 citations
- LOVM: Language-Only Vision Model Selection ↗Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang et al.4 citations
- Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information ↗Arman Serikuly Zharmagambetov, Brandon Amos, Aaron Ferber et al.4 citations
- Language-driven Scene Synthesis using Multi-conditional Diffusion Model ↗An Dinh Vuong, Minh Nhat Vu, Toan Nguyen et al.4 citations
- Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding ↗George Ma, Yisen Wang, Yifei Wang4 citations
- Latent SDEs on Homogeneous Spaces ↗Sebastian Zeng, Florian Graf, Roland Kwitt4 citations
- Latent Space Translation via Semantic Alignment ↗Valentino Maiorca, Luca Moschella, Antonio Norelli et al.4 citations
- Learning Invariant Representations of Graph Neural Networks via Cluster Generalization ↗Donglin Xia, Xiao Wang, Nian Liu et al.4 citations
- Learning To Dive In Branch And Bound ↗Max B. Paulus, Andreas Krause4 citations
- Lending Interaction Wings to Recommender Systems with Conversational Agents ↗Jiarui Jin, Xianyu Chen, Fanghua Ye et al.4 citations
- Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis ↗Yulhwa Kim, Dongwon Jo, Hyesung Jeon et al.4 citations
- LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios ↗Yazhe Niu, Yuan Pu, Zhenjie Yang et al.4 citations
- Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos ↗Matthew Chang, Aditya Prakash, Saurabh Gupta4 citations
- Lookaround Optimizer: k steps around, 1 step average ↗Jiangtao Zhang, Shunyu Liu, Jie Song et al.4 citations
- Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping ↗Feng Zhang, Ming Tian, Zhiqiang Li et al.4 citations
- Loss Decoupling for Task-Agnostic Continual Learning ↗Wu-Jun Li, Wu-Jun Li4 citations
- Loss Dynamics of Temporal Difference Reinforcement Learning ↗Blake Bordelon, Paul Masset, Henry Kuo et al.4 citations
- Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation ↗Zhongqi Yue, Qianru Sun, Hanwang Zhang4 citations
- Making Scalable Meta Learning Practical ↗Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn et al.4 citations
- Masked Image Residual Learning for Scaling Deeper Vision Transformers ↗Guoxi Huang, Hongtao Fu, Adrian G. Borş4 citations
- Max-Margin Token Selection in Attention Mechanism ↗Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang et al.4 citations
- Maximum Independent Set: Self-Training through Dynamic Programming ↗L. Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis et al.4 citations
- May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations ↗Rui Feng, Qi Zhu, Huan Tran et al.4 citations
- Meet in the Middle: A New Pre-training Paradigm ↗Anh Kiet Nguyen, Nikos Karampatziakis, Weizhu Chen4 citations
- Memory Efficient Optimizers with 4-bit States ↗Bingrui Li, Jianfei Chen, Jun Zhu4 citations
- Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean ↗Spyridon Kondylatos, Ioannis Prapas, Gustau Camps‐Valls et al.4 citations
- Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields ↗Seungtae Nam, Daniel Rho, Jong Hwan Ko et al.4 citations
- Module-wise Adaptive Distillation for Multimodality Foundation Models ↗Chen Liang, Jiahui Yu, Ming-Hsuan Yang et al.4 citations
- Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion ↗Weitao Du, Jiujiu Chen, Xuecang Zhang et al.4 citations
- Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context ↗Lakshya A Agrawal, Aditya Kanade, Navin Goyal et al.4 citations
- Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation ↗Ruida Zhou, Tao Liu, Min Cheng et al.4 citations
- Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming ↗Jacobus G. M. van der Linden, Mathijs M. De Weerdt, Emir Demirović4 citations
- Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling ↗Ting Li, Jianguo Li, Zhanxing Zhu4 citations
- NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications ↗Robert Tjarko Lange, Yujin Tang, Yingtao Tian4 citations
- NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries ↗Qijian Zhang, Junhui Hou, Yohanes Yudhi Adikusuma et al.4 citations
- Normalization-Equivariant Neural Networks with Application to Image Denoising ↗Sébastien Herbreteau, Emmanuel Moebel, Charles Kervrann A4 citations
- ODE-based Recurrent Model-free Reinforcement Learning for POMDPs ↗Xuanle Zhao, Duzhen Zhang, Han Liyuan et al.4 citations
- OV-PARTS: Towards Open-Vocabulary Part Segmentation ↗Meng Wei, Xiaoyu Yue, Wenwei Zhang et al.4 citations
- Off-Policy Evaluation for Human Feedback ↗Qitong Gao, Ge Gao, Juncheng Dong et al.4 citations
- On the Convergence of No-Regret Learning Dynamics in Time-Varying Games ↗Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina et al.4 citations
- On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection ↗Sangha Park, Jisoo Mok, Dahuin Jung et al.4 citations
- OpenProteinSet: Training data for structural biology at scale ↗Gustaf Ahdritz, Nazim Bouatta, Sachin Kadyan et al.4 citations
- Optimal Transport-Guided Conditional Score-Based Diffusion Model ↗Xiang Gu, Liwei Yang, Jian Sun et al.4 citations
- PAPR: Proximity Attention Point Rendering ↗Yanshu Zhang, Shichong Peng, Alireza Moazeni et al.4 citations
- PDP: Parameter-free Differentiable Pruning is All You Need ↗Minsik Cho, Saurabh Adya, Devang K. Naik4 citations
- Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks ↗Tolga Ergen, Mert Pilancı4 citations
- Permutation Equivariant Neural Functionals ↗Allan Zhou, Kaien Yang, Kaylee Burns et al.4 citations
- PrObeD: Proactive Object Detection Wrapper ↗Vishal Asnani, Abhinav Kumar, Suya You et al.4 citations
- Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning ↗Jialong Wu, Haoyu Ma, Chaoyi Deng et al.4 citations
- Propagating Knowledge Updates to LMs Through Distillation ↗Shankar Padmanabhan, Yasumasa Onoe, Michael Zhang et al.4 citations
- ProteinShake: Building datasets and benchmarks for deep learning on protein structures ↗Tim Kucera, Carlos Oliver, Dexiong Chen et al.4 citations
- Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks ↗Eshaan Nichani, Alex Damian, Jason D. Lee4 citations
- Quantum Bayesian Optimization ↗Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma et al.4 citations
- REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths ↗Xu Chen, Jingsen Zhang, Lei Wang et al.4 citations
- RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy ↗Hongting Ye, Yalu Zheng, Yueying Li et al.4 citations
- ReSync: Riemannian Subgradient-based Robust Rotation Synchronization ↗Xiao Qiang Li, Xiao Li, Anthony Man–Cho So4 citations
- Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis ↗Mehdi Azabou, Michael J Mendelson, Nauman Ahad et al.4 citations
- Reliable Off-Policy Learning for Dosage Combinations ↗Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk et al.4 citations
- Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective ↗Huayang Li, Tian Lan, Zihao Fu et al.4 citations
- Rethinking the Backward Propagation for Adversarial Transferability ↗Wang Xiaosen, Kangheng Tong, Kun He4 citations
- Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness ↗Xinli Yue, Ningping Mou, Qian Wang et al.4 citations
- Revisiting the Evaluation of Image Synthesis with GANs ↗Mengping Yang, Ceyuan Yang, Yichi Zhang et al.4 citations
- Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement ↗Hui Yuan, Kaixuan Huang, Chengzhuo Ni et al.4 citations
- Riemannian Residual Neural Networks ↗Isay Katsman, Eric Chen, Sidhanth Holalkere et al.4 citations
- Robust low-rank training via approximate orthonormal constraints ↗Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti et al.4 citations
- STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection ↗Sujin Jang, Dae Ung Jo, Sung Ju Hwang et al.4 citations
- Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent ↗Jihao Andreas Lin, Javier Antorán, Shreyas Padhy et al.4 citations
- Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels ↗Zhen Liu, Peitian Ma, Dongliang Chen et al.4 citations
- ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection ↗Zhongzhan Huang, Pan Zhou, Shuicheng Yan et al.4 citations
- Scientific Document Retrieval using Multi-level Aspect-based Queries ↗Jianyou Wang, Kaicheng Wang, Xiaoyue Wang et al.4 citations
- Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration ↗Jie Xu, Shuo Chen, Yazhou Ren et al.4 citations
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