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NeurIPS 2024: all accepted papers

4,494 papers · page 11 of 45 · the most cited first · ← NeurIPS 2024

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  1. 4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models ↗Heng Yu, Chaoyang Wang, Peiye Zhuang et al.6 citations
  2. A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts ↗Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro et al.6 citations
  3. A Simple Image Segmentation Framework via In-Context Examples ↗Yang Liu, Chenchen Jing, Hengtao Li et al.6 citations
  4. ANT: Adaptive Noise Schedule for Time Series Diffusion Models ↗Kibok Lee, Kibok Lee, Taeyoung Park6 citations
  5. AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation ↗Boyu Han, Qianqian Xu, Zhiyong Yang et al.6 citations
  6. AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis ↗Swapnil Bhosale, Haosen Yang, Diptesh Kanojia et al.6 citations
  7. Adaptive Preference Scaling for Reinforcement Learning with Human Feedback ↗Ilgee Hong, Zichong Li, Alexander Bukharin et al.6 citations
  8. AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery ↗Hangyu Zhou, Chia-Hsiang Kao, Cheng Perng Phoo et al.6 citations
  9. Animate3D: Animating Any 3D Model with Multi-view Video Diffusion ↗Yanqin Jiang, Chaohui Yu, Chenjie Cao et al.6 citations
  10. Are Large Language Models Good Statisticians? ↗Yizhang Zhu, Shiyin Du, Boyan Li et al.6 citations
  11. Block Transformer: Global-to-Local Language Modeling for Fast Inference ↗Namgyu Ho, Sangmin Bae, Taehyeon Kim et al.6 citations
  12. Causal Context Adjustment Loss for Learned Image Compression ↗Minghao Han, Shiyin Jiang, Shengxi Li et al.6 citations
  13. Certified Machine Unlearning via Noisy Stochastic Gradient Descent ↗Ziang Chen, Haoyu Wang, Ziang Chen et al.6 citations
  14. ConStat: Performance-Based Contamination Detection in Large Language Models ↗Jasper Dekoninck, Mark Niklas Müller, Martin Vechev6 citations
  15. Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters ↗Dong Zhao, Shuang Wang, Shuang Wang et al.6 citations
  16. Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation ↗Shengxiang Hu, Huaijiang Sun, Dong Xu Wei et al.6 citations
  17. Copycats: the many lives of a publicly available medical imaging dataset ↗Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Dovile Juodelyte et al.6 citations
  18. Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index ↗Qian Xie, Raul Astudillo, Peter I. Frazier et al.6 citations
  19. Cross-modal Representation Flattening for Multi-modal Domain Generalization ↗Yunfeng Fan, Wenchao Xu, Haohao Wang et al.6 citations
  20. DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering ↗Zhongpai Gao, Benjamin Planche, Meng Zheng et al.6 citations
  21. DarkSAM: Fooling Segment Anything Model to Segment Nothing ↗Ziqi Zhou, Yufei Song, Minghui Li et al.6 citations
  22. DiffuBox: Refining 3D Object Detection with Point Diffusion ↗Xiangyu Chen, Zhenzhen Liu, Katie Luo et al.6 citations
  23. Direct Unlearning Optimization for Robust and Safe Text-to-Image Models ↗Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim et al.6 citations
  24. Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning ↗Arko Banerjee, Kia Rahmani, Joydeep Biswas et al.6 citations
  25. E-Motion: Future Motion Simulation via Event Sequence Diffusion ↗Song Wu, Zhiyu Zhu, Jinjian Wu et al.6 citations
  26. End-to-End Ontology Learning with Large Language Models ↗Andy Lo, Albert Qiaochu Jiang, Wenda Li et al.6 citations
  27. Exploring Molecular Pretraining Model at Scale ↗Xiaohong Ji, Zhen Wang, Zhifeng Gao et al.6 citations
  28. Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning ↗Chong Ma, Hanqi Jiang, Wenting Chen et al.6 citations
  29. Fairness in Social Influence Maximization via Optimal Transport ↗Shubham Chowdhary, Giulia De Pasquale, Nicolas Lanzetti et al.6 citations
  30. FindingEmo: An Image Dataset for Emotion Recognition in the Wild ↗Laurent Mertens, Elahe’ Yargholi, Hans Op de Beeck et al.6 citations
  31. Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients ↗Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui et al.6 citations
  32. Fisher Flow Matching for Generative Modeling over Discrete Data ↗Oscar Davis, Samuel Kessler, Mircea Petrache et al.6 citations
  33. HYDRA: Model Factorization Framework for Black-Box LLM Personalization ↗Yuchen Zhuang, Haotian Sun, Yue Yu et al.6 citations
  34. HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach ↗Maxim S. Nikolaev, Mikhail Kuznetsov, Dmitry Vetrov et al.6 citations
  35. Hardness of Learning Neural Networks under the Manifold Hypothesis ↗Bobak T. Kiani, Jason Wang, Melanie Weber6 citations
  36. Historical Test-time Prompt Tuning for Vision Foundation Models ↗Jiaxing Huang, Jiaxing Huang, Xiaoqin Zhang et al.6 citations
  37. How does PDE order affect the convergence of PINNs? ↗Changhoon Song, Yesom Park, Myungjoo Kang6 citations
  38. IPO: Interpretable Prompt Optimization for Vision-Language Models ↗Yingjun Du, Wenfang Sun, Cees G. M. Snoek6 citations
  39. Images that Sound: Composing Images and Sounds on a Single Canvas ↗Ziyang Chen, Daniel Geng, Andrew Owens6 citations
  40. Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference ↗Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff6 citations
  41. Learning Action and Reasoning-Centric Image Editing from Videos and Simulation ↗Benno Krojer, Dheeraj Vattikonda, Luis Lara et al.6 citations
  42. Learning Formal Mathematics From Intrinsic Motivation ↗Gabriel Poesia, David Broman, Nick Haber et al.6 citations
  43. Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding ↗Yunze Man, Shuhong Zheng, Zhipeng Bao et al.6 citations
  44. Maia-2: A Unified Model for Human-AI Alignment in Chess ↗Zhenwei Tang, Difan Jiao, Reid McIlroy-Young et al.6 citations
  45. Membership Inference Attacks against Large Vision-Language Models ↗Z. Li, Yongtao Wu, Yihang Chen et al.6 citations
  46. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving ↗Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke et al.6 citations

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