NEURIPS Papers
5,858 papers found • Page 10 of 118
Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models
Haolang Lu, Yilian Liu, Jingxin Xu et al.
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
Sarah Cen, Salil Goyal, Zaynah Javed et al.
AudSemThinker: Enhancing Audio-Language Models Through Reasoning over Semantics of Sound
Gijs Wijngaard, Elia Formisano, Michele Esposito et al.
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
Parsa Rahimi, Damien Teney, Sébastien Marcel
Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA
Mingyu Huang, Shasha Zhou, Ke Li
A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond
Yipeng Li, Xinchen Lyu, Zhenyu Liu
A Unified Approach to Submodular Maximization Under Noise
Kshipra Bhawalkar, Yang Cai, Zhe Feng et al.
A unified framework for establishing the universal approximation of transformer-type architectures
Jingpu Cheng, Ting Lin, Zuowei Shen et al.
A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
Zichong Wang, Zhipeng Yin, Wenbin Zhang
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani et al.
A Unified Framework for the Transportability of Population-Level Causal Measures
Ahmed Boughdiri, Clément Berenfeld, Julie Josse et al.
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh Ho, Long Nguyen-Chi, TrungTin Nguyen et al.
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
Dongheng Lin, Mengxue Qu, Kunyang Han et al.
A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking
Zixiang Zhao, Haowen Bai, Bingxin Ke et al.
A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
WEI-KAI CHANG, Rajiv Khanna
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning
Zechen Wu, Amy Greenwald, Ronald Parr
AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping
Haonan Dong, Wenhao Zhu, Guojie Song et al.
Auto-Compressing Networks
Evangelos Dorovatas, Georgios Paraskevopoulos, Alexandros Potamianos
Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
jingfeng Guo, Jian Liu, Jinnan Chen et al.
AutoData: A Multi-Agent System for Open Web Data Collection
Tianyi Ma, Yiyue Qian, Zheyuan Zhang et al.
AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
Dhruv Agarwal, Bodhisattwa Prasad Majumder, Reece Adamson et al.
AutoEdit: Automatic Hyperparameter Tuning for Image Editing
Chau Pham, Quan Dao, Mahesh Bhosale et al.
Autoencoding Random Forests
Binh Vu, Jan Kapar, Marvin Wright et al.
AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction
Vansh Sharma, Harish Ganesh, Maryam Akram et al.
AutoJudge: Judge Decoding Without Manual Annotation
Roman Garipov, Fedor Velikonivtsev, Ivan Ermakov et al.
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
Christy Li, Josep Lopez Camuñas, Jake Touchet et al.
Automated Model Discovery via Multi-modal & Multi-step Pipeline
Lee Jung-Mok, Nam Hyeon-Woo, Moon Ye-Bin et al.
Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction
Zhiqiang Zhong, Davide Mottin
Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
Delong Liu, Haiwen Li, Zhaohui Hou et al.
Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
Fuyuan CAO, Shichang Qiao, Kui Yu et al.
Automaton Constrained Q-Learning
Anastasios Manganaris, Vittorio Giammarino, Ahmed Qureshi
AutoOpt: A Dataset and a Unified Framework for Automating Optimization Problem Solving
Ankur Sinha, Shobhit Arora, Dhaval Pujara
AutoPartGen: Autoregressive 3D Part Generation and Discovery
Minghao Chen, Jianyuan Wang, Roman Shapovalov et al.
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration
Andy Zhou, Kevin Wu, Francesco Pinto et al.
Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
Shanchuan Lin, Ceyuan Yang, Hao He et al.
Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling
Linnan Tu, Lingwei Meng, Zongyi Li et al.
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
Sam Bright-Thonney, Christina Reissel, Gaia Grosso et al.
Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
Yue Xu, Chengyan Fu, Li Xiong et al.
AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling
Zhining Zhang, Chuanyang Jin, Mung Yao Jia et al.
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Zewei Zhou, Tianhui Cai, Seth Zhao et al.
Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
Shuo Wang, Yongcai Wang, Wanting Li et al.
Availability-aware Sensor Fusion via Unified Canonical Space
Dong-Hee Paek, SEUNG-HYUN KONG
AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding
Chaeyoung Jung, Youngjoon Jang, Joon Son Chung
AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
RUI CAO, Zifeng Ding, Zhijiang Guo et al.
Avoiding exp(R) scaling in RLHF through Preference-based Exploration
Mingyu Chen, Yiding Chen, Wen Sun et al.
Axial Neural Networks for Dimension-Free Foundation Models
Hyunsu Kim, Jonggeon Park, Joan Bruna et al.
Backdoor Cleaning without External Guidance in MLLM Fine-tuning
Xuankun Rong, Wenke Huang, Jian Liang et al.
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model
Weilin Lin, Nanjun Zhou, Yanyun Wang et al.
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
Yige Li, Hanxun Huang, Yunhan Zhao et al.