NEURIPS Papers
5,858 papers found • Page 17 of 118
Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation
Jiahuan Zhou, Chao Zhu, Zhenyu Cui et al.
Class conditional conformal prediction for multiple inputs by p-value aggregation
Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code
Augusto B. Corrêa, André G. Pereira, Jendrik Seipp
Class-wise Balancing Data Replay for Federated Class-Incremental Learning
Zhuang Qi, Ying-Peng Tang, Lei Meng et al.
CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections
Keuntae Kim, Eunhye Jeong, Sehyeon Lee et al.
Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment
Samuel (Min-Hsuan) Yeh, Sharon Li
CLEAR: Command Level Annotated Dataset for Ransomware Detection
Barak Bringoltz, Elisha Halperin, Ran Feraru et al.
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
Songhua Liu, Zhenxiong Tan, Xinchao Wang
CLEVER: A Curated Benchmark for Formally Verified Code Generation
Amitayush Thakur, Jasper Lee, George Tsoukalas et al.
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn et al.
CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering
Zhengqing Wang, Yuefan Wu, Jiacheng Chen et al.
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
Zhining Liu, Zihao Li, Ze Yang et al.
ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction
Ismael Villanueva Miranda, Zifan Gu, Donghan Yang et al.
ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
Weixiang Yan, Haitian Liu, Tengxiao Wu et al.
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
Duo Zhou, Jorge Chavez, Hesun Chen et al.
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
Kornel Howil, Joanna Waczynska, Piotr Borycki et al.
CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
Marc Lafon, Gustavo Vargas Hakim, Clément Rambour et al.
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang et al.
Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models
Dhruva Karkada, James Simon, Yasaman Bahri et al.
Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution
Jacob Lin, Edward Gryspeerdt, Ronald Clark
ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
Xinhao Luo, Zihan Liu, Yangjie Zhou et al.
Clustering via Hedonic Games: New Concepts and Algorithms
Gergely Csáji, Alexander Gundert, Jörg Rothe et al.
CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning
Jun Wang, Fuyuan CAO, ZhixinXue et al.
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
MingMing Yu, Fei Zhu, Wenzhuo Liu et al.
COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
Uliana Parkina, Maxim Rakhuba
Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation
Xinyi Zhang, Bingyang Wei, Ruixuan Yu et al.
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
Younggyo Seo, Pieter Abbeel
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
Roman Vashurin, Maiya Goloburda, Albina Ilina et al.
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation
Xueqing Deng, Linjie Yang, Qihang Yu et al.
CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
Dapeng Zhang, Fei Shen, Rui Zhao et al.
CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects
Huaijin Pi, Zhi Cen, Zhiyang Dou et al.
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
Myeongsoo Kim, Shweta Garg, Baishakhi Ray et al.
CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning
Man Ho Lam, Chaozheng Wang, Jen-Tse Huang et al.
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
Gunho Park, Jeongin Bae, Byeongwook Kim et al.
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
Hongyuan Tao, Ying Zhang, Zhenhao Tang et al.
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
Codifying Character Logic in Role-Playing
Letian Peng, Jingbo Shang
CoFFT: Chain of Foresight-Focus Thought for Visual Language Models
Xinyu Zhang, Yuxuan Dong, Lingling Zhang et al.
COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
Jules Sintes, Ana Busic
Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning
Xueqi Ma, Jun Wang, Yanbei Jiang et al.
Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning
boheng liu, Ziyu Li, Chenghua Duan et al.
CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing
Anirudh Bindiganavale Harish, Peikun Guo, Bhargav Ghanekar et al.
CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & Sparsification
Wei Li, Renshan Zhang, Rui Shao et al.
CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
Yichen Yan, Ming Zhong, Qi Zhu et al.
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
Pengyi Li, Hongyao Tang, Yifu Yuan et al.
Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
Xue-Feng Zhu, Tianyang Xu, Yifan Pan et al.
Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks
Roberto Gheda, Abele Mălan, Thiago Guzella et al.
Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
Ansong Ni, Ruta Desai, Yang Li et al.
Collapsing Taylor Mode Automatic Differentiation
Felix Dangel, Tim Siebert, Marius Zeinhofer et al.
Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration
Nicholas Vincent, Matt Prewitt, Hanlin Li