NeurIPS 2023: all accepted papers
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- Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules ↗Zhiyuan Liu, Yaorui Shi, An Zhang et al.7 citations
- Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations ↗Lifan Yuan, Yangyi Chen, Ganqu Cui et al.7 citations
- Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective ↗Yuzheng Hu, Ruicheng Xian, Qilong Wu et al.7 citations
- SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models ↗Shuchen Xue, Mingyang Yi, Weijian Luo et al.7 citations
- Scaling laws for language encoding models in fMRI ↗Richard Antonello, Aditya R. Vaidya, Alexander G. Huth7 citations
- Schema-learning and rebinding as mechanisms of in-context learning and emergence ↗Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju et al.7 citations
- Self-Supervised Motion Magnification by Backpropagating Through Optical Flow ↗Zhaoying Pan, Daniel Geng, Andrew Owens7 citations
- Single-Stage Visual Query Localization in Egocentric Videos ↗Hanwen Jiang, Santhosh Kumar Ramakrishnan, Kristen Grauman7 citations
- Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts ↗Zeyang Zhang, Xin Eric Wang, Ziwei Zhang et al.7 citations
- Structured Federated Learning through Clustered Additive Modeling ↗Jie Ma, Tianyi Zhou, Guodong Long et al.7 citations
- SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems ↗Christopher Yeh, Victor Li, Rajeev Datta et al.7 citations
- T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization ↗Yang Li, Jinpei Guo, Runzhong Wang et al.7 citations
- The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter ↗Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen et al.7 citations
- Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance ↗Lisha Chen, Heshan Fernando, Yiming Ying et al.7 citations
- Toward Re-Identifying Any Animal ↗Bingliang Jiao, Lingqiao Liu, Liying Gao et al.7 citations
- Tracr: Compiled Transformers as a Laboratory for Interpretability ↗David Lindner, János Kramár, Sebastian Farquhar et al.7 citations
- Uncovering and Quantifying Social Biases in Code Generation ↗Yan Liu, Xiaokang Chen, Yan Gao et al.7 citations
- Understanding and Improving Feature Learning for Out-of-Distribution Generalization ↗Yongqiang Chen, Wei Huang, Kaiwen Zhou et al.7 citations
- Universality and Limitations of Prompt Tuning ↗Yihan Wang, Jatin Chauhan, Wei Wang et al.7 citations
- Visual Instruction Inversion: Image Editing via Image Prompting ↗Thao Nguyen, Yuheng Li, Utkarsh Ojha et al.7 citations
- When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability ↗Sitao Luan, Chenqing Hua, Minkai Xu et al.7 citations
- Why Does Sharpness-Aware Minimization Generalize Better Than SGD? ↗Zixiang Chen, Junkai Zhang, Yiwen Kou et al.7 citations
- Zero-shot causal learning ↗Hamed Nilforoshan, Michael Moor, Yusuf Roohani et al.7 citations
- A Dataset of Relighted 3D Interacting Hands ↗Gyeongsik Moon, Shunsuke Saito, Weipeng Xu et al.6 citations
- A Spectral Theory of Neural Prediction and Alignment ↗Abdülkadir Canatar, Jenelle Feather, Albert J. Wakhloo et al.6 citations
- A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs ↗Xingyue Huang, Miguel Romero, Ismail Ceylan et al.6 citations
- ANPL: Towards Natural Programming with Interactive Decomposition ↗Di Huang, Ziyuan Nan, Xing Hu et al.6 citations
- AQuA: A Benchmarking Tool for Label Quality Assessment ↗Mononito Goswami, Vedant Sanil, Arjun Choudhry et al.6 citations
- AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions ↗Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda et al.6 citations
- Achieving Cross Modal Generalization with Multimodal Unified Representation ↗Yan Xia, Hai Huang, Jieming Zhu et al.6 citations
- Active Reasoning in an Open-World Environment ↗Manjie Xu, Wei Liang, Wei Liang et al.6 citations
- An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination ↗Xue Yan, Jiaxian Guo, Xingzhou Lou et al.6 citations
- Auslan-Daily: Australian Sign Language Translation for Daily Communication and News ↗Xin Shen, Shaozu Yuan, Hongwei Sheng et al.6 citations
- Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance ↗Congyue Deng, Jiahui Lei, William B Shen et al.6 citations
- Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset ↗Junling Liu, Peilin Zhou, Yining Hua et al.6 citations
- Beyond Normal: On the Evaluation of Mutual Information Estimators ↗Paweł Czyż, Frederic Grabowski, Julia Elisabeth Vogt et al.6 citations
- Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets ↗Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik et al.6 citations
- BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series ↗Andrea Nascetti, Ritu Yadav, Kirill Brodt et al.6 citations
- Boosting Learning for LDPC Codes to Improve the Error-Floor Performance ↗Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim et al.6 citations
- Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces ↗Leonard Papenmeier, Luigi Nardi, Matthias Poloczek6 citations
- Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing ↗Josh Alman, Jiehao Liang, Zhao Song et al.6 citations
- CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics ↗Fatih Dinç, Adam S. Shai, Mark J. Schnitzer et al.6 citations
- CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels ↗Wanxing Chang, Shi Ye, Jingya Wang6 citations
- Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data ↗Boris van Breugel, Nabeel Seedat, Fergus Imrie et al.6 citations
- Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach ↗Zhimeng (Stephen) Jiang, Xiaotian Han, Hongye Jin et al.6 citations
- ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation ↗Sungduk Yu, Walter M. Hannah, Liran Peng et al.6 citations
- Combinatorial Optimization with Policy Adaptation using Latent Space Search ↗Félix Chalumeau, Shikha Surana, Clément Bonnet et al.6 citations
- Composing Parameter-Efficient Modules with Arithmetic Operation ↗Jinghan Zhang, Shiqi Chen, Junteng Liu et al.6 citations
- Compositional Generalization from First Principles ↗Thaddäus Wiedemer, P. Mayilvahanan, Matthias Bethge et al.6 citations
- Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities ↗Jingyuan Sun, Mingxiao Li, Zijiao Chen et al.6 citations
- Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems ↗Samuel Hurault, Ulugbek S. Kamilov, Arthur Leclaire et al.6 citations
- Data-Centric Learning from Unlabeled Graphs with Diffusion Model ↗Gang Liu, Eric Inae, Tong Zhao et al.6 citations
- Data-Driven Network Neuroscience: On Data Collection and Benchmark ↗Jiaxing Xu, Yunhan Yang, David Huang et al.6 citations
- Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses ↗Gon Buzaglo, Niv Haim, Gilad Yehudai et al.6 citations
- Deep Equilibrium Based Neural Operators for Steady-State PDEs ↗Tanya Marwah, Ashwini Pokle, J. Zico Kolter et al.6 citations
- Deep Insights into Noisy Pseudo Labeling on Graph Data ↗Botao Wang, Jia Li, Yang Liu et al.6 citations
- Described Object Detection: Liberating Object Detection with Flexible Expressions ↗Chi Xie, Zhao Zhang, Yixuan Wu et al.6 citations
- Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning ↗Haoran He, Chenjia Bai, Kang Xu et al.6 citations
- Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation ↗Zhekai Du, Jingjing Li6 citations
- Direct Diffusion Bridge using Data Consistency for Inverse Problems ↗Hyungjin Chung, Jeongsol Kim, JONG CHUL YE6 citations
- Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning ↗Wei Tang, Weijia Zhang, Min-Ling Zhang6 citations
- Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability ↗Usha Bhalla, Suraj Srinivas, Himabindu Lakkaraju6 citations
- Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning ↗Changsheng Lv, Shuai Zhang, Yapeng Tian et al.6 citations
- Disentangling Voice and Content with Self-Supervision for Speaker Recognition ↗Tianchi Liu, Kong Aik Lee, Qiongqiong Wang et al.6 citations
- Does Invariant Graph Learning via Environment Augmentation Learn Invariance? ↗Yongqiang Chen, Yatao Bian, Kaiwen Zhou et al.6 citations
- Domain Re-Modulation for Few-Shot Generative Domain Adaptation ↗Yi Wu, Ziqiang Li, Chaoyue Wang et al.6 citations
- Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner ↗Zhengxiang Shi, Aldo Lipani6 citations
- DynPoint: Dynamic Neural Point For View Synthesis ↗Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin et al.6 citations
- Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction ↗Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu et al.6 citations
- Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models ↗Geon Yeong Park, Jeongsol Kim, Beomsu Kim et al.6 citations
- Enhancing Adversarial Robustness via Score-Based Optimization ↗Boya Zhang, Weijian Luo, Zhihua Zhang6 citations
- Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification ↗Jintong Gao, He Zhao, Zhuo Li et al.6 citations
- Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization ↗Haonan Yuan, Qingyun Sun, Xingcheng Fu et al.6 citations
- Epidemic Learning: Boosting Decentralized Learning with Randomized Communication ↗Martijn de Vos, Sadegh Farhadkhani, Rachid Guerraoui et al.6 citations
- Episodic Multi-Task Learning with Heterogeneous Neural Processes ↗Jiayi Shen, Xiantong Zhen, Qi Wang et al.6 citations
- Estimating Koopman operators with sketching to provably learn large scale dynamical systems ↗Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic et al.6 citations
- Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples ↗Marco Jiralerspong, Avishek Joey Bose, Ian Gemp et al.6 citations
- Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer ↗Zikai Xiao, Zihan Chen, Songshang Liu et al.6 citations
- Federated Multi-Objective Learning ↗Haibo Yang, Zhuqing Liu, Jia Liu et al.6 citations
- Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models ↗Haonan Duan, Adam Dziedzic, Nicolas Papernot et al.6 citations
- Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization ↗Kamil Dreczkowski, Antoine Grosnit, Haitham Bou Ammar6 citations
- Future-Dependent Value-Based Off-Policy Evaluation in POMDPs ↗Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett et al.6 citations
- Glance and Focus: Memory Prompting for Multi-Event Video Question Answering ↗Ziyi Bai, Ruiping Wang, Xilin Chen6 citations
- GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation ↗Mingxuan Ju, Tong Zhao, Wenhao Yu et al.6 citations
- Group Robust Classification Without Any Group Information ↗Christos Tsirigotis, João Monteiro, Pau Rodríguez et al.6 citations
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions ↗Seohong Park, Dibya Ghosh, Benjamin Eysenbach et al.6 citations
- High-dimensional Asymptotics of Denoising Autoencoders ↗Hugo Cui, Lenka Zdeborová6 citations
- Homotopy-based training of NeuralODEs for accurate dynamics discovery ↗Joon-Hyuk Ko, Joon-Hyuk Ko, Nojun Park et al.6 citations
- Hyperbolic VAE via Latent Gaussian Distributions ↗Seunghyuk Cho, Juyong Lee, Dongwoo Kim6 citations
- IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI ↗Bochuan Cao, Changjiang Li, Ting Wang et al.6 citations
- Improving Adversarial Transferability via Intermediate-level Perturbation Decay ↗Qizhang Li, Yiwen Guo, Wangmeng Zuo et al.6 citations
- InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding ↗Junda Wu, Tong Yu, Rui Wang et al.6 citations
- Kiki or Bouba? Sound Symbolism in Vision-and-Language Models ↗Morris Alper, Hadar Averbuch‐Elor6 citations
- Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses ↗Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma et al.6 citations
- Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment ↗Hao Liu, Wilson Yan, Pieter Abbeel6 citations
- Large Language Models of Code Fail at Completing Code with Potential Bugs ↗Tuan Dinh, Jinman Zhao, Samson Tan et al.6 citations
- Layer-Neighbor Sampling — Defusing Neighborhood Explosion in GNNs ↗Muhammed Fati̇h Balin, Umit V. C6 citations
- Learning Linear Causal Representations from Interventions under General Nonlinear Mixing ↗Simon Buchholz, Goutham Rajendran, Elan Rosenfeld et al.6 citations
- Learning to Taste: A Multimodal Wine Dataset ↗Thoranna Bender, Simon Sørensen, Alireza Kashani et al.6 citations
- M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark ↗Yongxin Shi, Chongyu Liu, Dezhi Peng et al.6 citations
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