Elamur Research⌕
☰
home / venues / NeurIPS / 2023 / papers / page 2

NeurIPS 2023: all accepted papers

3,540 papers · page 2 of 36 · the most cited first · ← NeurIPS 2023

1 2 3 … 10 … 36

  1. OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding ↗Minghua Liu, Ruoxi Shi, Kaiming Kuang et al.66 citations
  2. Evaluating and Inducing Personality in Pre-trained Language Models ↗Guangyuan Jiang, Manjie Xu, Song Chun Zhu et al.65 citations
  3. LeanDojo: Theorem Proving with Retrieval-Augmented Language ModelsKaiyu Yang, Aidan Swope, Alex Gu et al.65 citations · our summary
  4. Geometry-Informed Neural Operator for Large-Scale 3D PDEs ↗Zongyi Li, Nikola Kovachki, Christopher Choy et al.64 citations
  5. One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation ↗Zhiwei Hao, Jianyuan Guo, Kai Han et al.63 citations
  6. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo et al.63 citations · our summary
  7. Self-Chained Image-Language Model for Video Localization and Question Answering ↗Shoubin Yu, Jaemin Cho, Prateek Yadav et al.63 citations
  8. Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images ↗Yuxin Wen, John Kirchenbauer, Jonas Geiping et al.63 citations
  9. VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset ↗Sihan Chen, Handong Li, Qunbo Wang et al.63 citations
  10. Generating Images with Multimodal Language Models ↗Jing Yu Koh, Daniel Fried, Russ R. Salakhutdinov61 citations
  11. MixFormerV2: Efficient Fully Transformer Tracking ↗Yutao Cui, Tianhui Song, Gangshan Wu et al.61 citations
  12. CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography ↗Jiwen Yu, Xuanyu Zhang, Youmin Xu et al.60 citations
  13. Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery ↗Yuxin Wen, Neel Jain, John Kirchenbauer et al.60 citations
  14. PreDiff: Precipitation Nowcasting with Latent Diffusion Models ↗Zhihan Gao, Xingjian Shi, Boran Han et al.60 citations
  15. Augmenting Language Models with Long-Term Memory ↗Weizhi Wang, Li Dong, Hao Cheng et al.59 citations
  16. ToolQA: A Dataset for LLM Question Answering with External ToolsYuchen Zhuang, Yue Yu, Kuan Wang et al.59 citations · our summary
  17. DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization ↗Zhiqing Sun, Yiming Yang58 citations
  18. Subject-driven Text-to-Image Generation via Apprenticeship Learning ↗Wenhu Chen, Hexiang Hu, Yandong Li et al.58 citations
  19. Convolutional Neural Operators for robust and accurate learning of PDEs ↗Bogdan Raonić, Roberto Molinaro, Tim De Ryck et al.57 citations
  20. Hierarchical Integration Diffusion Model for Realistic Image Deblurring ↗Zheng Chen, Yulun Zhang, Ding Liu et al.57 citations
  21. Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models ↗Yuchao Gu, Xintao Wang, Jay Zhangjie Wu et al.57 citations
  22. Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP ↗Qihang Yu, Ju He, Xueqing Deng et al.55 citations
  23. LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting ↗Xu Liu, Yutong Xia, Yuxuan Liang et al.55 citations
  24. Lossy Image Compression with Conditional Diffusion Models ↗Ruihan Yang, Stephan Mandt55 citations
  25. SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation ↗Zhongang Cai, Wanqi Yin, Ailing Zeng et al.55 citations
  26. Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective ↗Guhao Feng, Bohang Zhang, Yuntian Gu et al.55 citations
  27. rPPG-Toolbox: Deep Remote PPG Toolbox ↗Xin Liu, Girish Narayanswamy, Akshay Paruchuri et al.55 citations
  28. Improving CLIP Training with Language Rewrites ↗Lijie Fan, Dilip Krishnan, Phillip Isola et al.54 citations
  29. MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection ↗Junho Song, Keonwoo Kim, Jeonglyul Oh et al.54 citations
  30. OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning ↗Cheng Tan, Siyuan Li, Zhangyang Gao et al.54 citations
  31. SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations ↗Qitian Wu, Wentao Zhao, Chenxiao Yang et al.53 citations
  32. SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds ↗Yanyu Li, Huan Wang, Qing Jin et al.53 citations
  33. Are aligned neural networks adversarially aligned? ↗Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo et al.52 citations
  34. Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration ↗Qiwei Wang, Da-Wei Zhou, Yi-Kai Zhang et al.52 citations
  35. Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning ↗Lin Guan, Karthik Valmeekam, Sarath Sreedharan et al.52 citations
  36. Counterfactual Memorization in Neural Language Models ↗Chiyuan Zhang, Daphne Ippolito, Katherine Lee et al.51 citations
  37. DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models ↗Weijia Wu, Yuzhong Zhao, Hao Chen et al.51 citations
  38. GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization ↗Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah51 citations
  39. RanPAC: Random Projections and Pre-trained Models for Continual Learning ↗Mark D. McDonnell, Dong Gong, Amin Parvaneh et al.51 citations
  40. T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation ↗Kaiyi Huang, Kaiyue Sun, Enze Xie et al.51 citations
  41. Model Sparsity Can Simplify Machine Unlearning ↗Jinghan Jia, Jiancheng Liu, Parikshit Ram et al.50 citations
  42. TextDiffuser: Diffusion Models as Text Painters ↗Jingye Chen, Yupan Huang, Tengchao Lv et al.50 citations
  43. Any-to-Any Generation via Composable Diffusion ↗Zineng Tang, Ziyi Yang, Chenguang Zhu et al.49 citations
  44. CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders ↗Anthony Fuller, Koreen Millard, James Green49 citations
  45. Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models ↗Gen Luo, Yiyi Zhou, Tianhe Ren et al.49 citations
  46. Conformal PID Control for Time Series Prediction ↗Anastasios N. Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani49 citations
  47. HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution ↗Eric Nguyen, Michael Poli, Marjan Faizi et al.49 citations
  48. RADAR: Robust AI-Text Detection via Adversarial Learning ↗Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho49 citations
  49. Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion ↗Zhengyi Yang, Jiancan Wu, Zhicai Wang et al.48 citations
  50. Language Model Tokenizers Introduce Unfairness Between LanguagesAleksandar Petrov, Emanuele La Malfa, Philip Torr et al.48 citations · our summary
  51. MADG: Margin-based Adversarial Learning for Domain Generalization ↗Aveen Dayal, Vimal K B, Linga Reddy Cenkeramaddi et al.48 citations
  52. MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing ↗Jianfei Yang, He Huang, Yunjiao Zhou et al.48 citations
  53. Separable Physics-Informed Neural Networks ↗Junwoo Cho, Seungtae Nam, Hyunmo Yang et al.48 citations
  54. BIOT: Biosignal Transformer for Cross-data Learning in the Wild ↗Chaoqi Yang, Michael Brandon Westover, Jimeng Sun47 citations
  55. ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling ↗Yuqi Chen, Kan Ren, Yansen Wang et al.47 citations
  56. Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking ↗Juanhui Li, Harry Shomer, Haitao Mao et al.47 citations
  57. Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering ↗Noah Hollmann, Samuel Müller, Frank Hutter47 citations
  58. RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths ↗Zeyue Xue, Guanglu Song, Qiushan Guo et al.47 citations
  59. Structural Pruning for Diffusion Models ↗Gongfan Fang, Xinyin Ma, Xinchao Wang47 citations
  60. DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models ↗Ying Fan, Olivia Watkins, Yuqing Du et al.46 citations
  61. FedFed: Feature Distillation against Data Heterogeneity in Federated Learning ↗Zhiqin Yang, Yonggang Zhang, Yu Zheng et al.46 citations
  62. Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation ↗Zibo Zhao, Wen Liu, Xin Chen et al.46 citations
  63. Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization ↗Fu Luo, Xi Lin, Fei Liu et al.46 citations
  64. Scalable 3D Captioning with Pretrained Models ↗Tiange Luo, Chris Rockwell, Honglak Lee et al.46 citations
  65. Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks ↗Micah Goldblum, Hossein Souri, Renkun Ni et al.45 citations
  66. Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models ↗George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh et al.45 citations
  67. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction ↗Rui Yang, Lin Song, Yanwei Li et al.45 citations
  68. Learning Universal Policies via Text-Guided Video Generation ↗Yilun Du, Sherry Yang, Bo Dai et al.45 citations
  69. Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models ↗Zhendong Wang, Yifan Jiang, Huangjie Zheng et al.45 citations
  70. RealTime QA: What's the Answer Right Now?Akari Asai, Keisuke Sakaguchi, Yoichi Takahashi et al.45 citations · our summary
  71. Dynamic Personalized Federated Learning with Adaptive Differential Privacy ↗Xiyuan Yang, Wenke Huang, Mang Ye44 citations
  72. In-Context Impersonation Reveals Large Language Models' Strengths and Biases ↗Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto et al.44 citations
  73. Knowledge Diffusion for Distillation ↗Tao Huang, Yuan Zhang, Mingkai Zheng et al.44 citations
  74. LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark ↗Zhenfei Yin, Jiong Wang, Jianjian Cao et al.44 citations
  75. MarioGPT: Open-Ended Text2Level Generation through Large Language Models ↗Shyam Sudhakaran, Miguel González-Duque, Matthias Freiberger et al.44 citations
  76. Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset ↗Jing Lin, Ailing Zeng, Shunlin Lu et al.44 citations
  77. Temporal Graph Benchmark for Machine Learning on Temporal Graphs ↗Shenyang Huang, Farimah Poursafaei, Jacob Danovitch et al.44 citations
  78. The Impact of Positional Encoding on Length Generalization in Transformers ↗Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy et al.43 citations
  79. DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization ↗Haoran Ye, Jiarui Wang, Zhiguang Cao et al.42 citations
  80. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi et al.42 citations · our summary
  81. M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models ↗Wenxuan Zhang, Mahani Aljunied, Chang Gao et al.42 citations
  82. Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization ↗Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim et al.42 citations
  83. Rank-DETR for High Quality Object Detection ↗Yifan Pu, Weicong Liang, Yiduo Hao et al.42 citations
  84. ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction ↗Jia Guo, Shuai Lu, Lize Jia et al.42 citations
  85. Crystal Structure Prediction by Joint Equivariant Diffusion ↗Rui Jiao, Wenbing Huang, Peijia Lin et al.41 citations
  86. DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model ↗Yuanshao Zhu, James Yu, Shiyao Zhang et al.41 citations
  87. Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality ↗Liyuan Wang, Jingyi Xie, Xingxing Zhang et al.41 citations
  88. Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images ↗Zeyu Lu, Di Huang, Lei Bai et al.41 citations
  89. SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive TasksBill Yuchen Lin, Yicheng Fu, Karina Yang et al.41 citations · our summary
  90. Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger ↗Zhiqi Bu, Yu-Xiang Wang, Sheng Zha et al.40 citations
  91. FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning ↗Dipam Goswami, Yuyang Liu, Bartłomiej Twardowski et al.40 citations
  92. ProPILE: Probing Privacy Leakage in Large Language Models ↗Siwon Kim, Sangdoo Yun, Hwaran Lee et al.40 citations
  93. DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models ↗Zheng Ge, Bin Yang, Jiajin Tang et al.39 citations
  94. Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts ↗Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva et al.39 citations
  95. Pruning vs Quantization: Which is Better? ↗Andrey Kuzmin, Markus Nagel, Mart van Baalen et al.39 citations
  96. Segment Anything in 3D with NeRFs ↗Jiazhong Cen, Zanwei Zhou, Jiemin Fang et al.39 citations
  97. Can Language Models Solve Graph Problems in Natural Language? ↗Heng Wang, Shangbin Feng, Tianxing He et al.38 citations
  98. HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation ↗Ho Man Kwan, Ge Gao, Fan Zhang et al.38 citations
  99. MomentDiff: Generative Video Moment Retrieval from Random to Real ↗Pandeng Li, Chen-Wei Xie, Hongtao Xie et al.38 citations
  100. PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers ↗Phillip Lippe, Bas Veeling, Paris G. Perdikaris et al.38 citations

1 2 3 … 10 … 36

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/2/