NEURIPS Poster Papers
4,493 papers found • Page 3 of 90
Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks
Yizhou Jiang, Feng Chen, Yihan Li et al.
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
XianJun, Davin Choo, Yuqi Pan, Tonghan Wang et al.
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation
Yidong Wu, Siyuan Chen, Binrui Wu et al.
Adaptive Inference-Time Scaling via Cyclic Diffusion Search
Gyubin Lee, Bao Truong, Jaesik Yoon et al.
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Richard Suwandi, Feng Yin, Juntao Wang et al.
Adaptive Latent-Space Constraints in Personalized Federated Learning
Sana Ayromlou, David B. Emerson
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
Lei Wang, Jieming Bian, Letian Zhang et al.
Adaptively Coordinating with Novel Partners via Learned Latent Strategies
Benjamin Li, Shuyang Shi, Lucia Romero et al.
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
Hongyi Nie, Yaqing Wang, Mingyang Zhou et al.
Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
Qu Yang, Xiyang Li, Fu Lin et al.
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
Kangkang Deng, Jiachen Jin, Jiang Hu et al.
Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning
Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang et al.
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
Ruoyu Wang, Beier Zhu, Junzhi Li et al.
Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond
Feng Zhu, David Simchi-Levi
Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
Haotian Luo, Haiying He, Yibo Wang et al.
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
Reiss Koh, Wonbeen Oh, Jaein Jang et al.
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson
A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
Haydn Jones, Natalie Maus, Josh magnus Ludan et al.
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
Xue zhucun, Jiangning Zhang, Xie Xurong et al.
Additive Models Explained: A Computational Complexity Approach
Shahaf Bassan, Michal Moshkovitz, Guy Katz
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
Zeyuan Liu, Zhihe Yang, Jiawei Xu et al.
A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
Daniel Tschernutter, David Diego Castro, Maciej Kasiński
A Differential and Pointwise Control Approach to Reinforcement Learning
Minh Nguyen, Chandrajit Bajaj
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
Gal Fadlon, Idan Arbiv, Nimrod Berman et al.
Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
Yukun Jiang, Mingjie Li, Michael Backes et al.
Adjusted Count Quantification Learning on Graphs
Clemens Damke, Eyke Hüllermeier
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Hyeonggeun Han, Sehwan Kim, Hyungjun Joo et al.
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
Jason Wu, Yuyang Yuan, Kang Yang et al.
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
Yangning Li, Shaoshen Chen, Yinghui Li et al.
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao, Yan Luo, Zefeng Qian et al.
A duality framework for analyzing random feature and two-layer neural networks
Hongrui Chen, Jihao Long, Lei Wu
Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
Amit Peleg, Naman Deep Singh, Matthias Hein
Advancing Interpretability of CLIP Representations with Concept Surrogate Model
Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing et al.
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
Chenwang Wu, Yiu-ming Cheung, Bo Han et al.
Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
Yifeng Yu, Lu Yu
AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
Yichen Wang, Hangtao Zhang, Hewen Pan et al.
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
Xiaojun Jia, Sensen Gao, Simeng Qin et al.
Adversarial Diffusion for Robust Reinforcement Learning
Daniele Foffano, Alessio Russo, Alexandre Proutiere
Adversarial generalization of unfolding (model-based) networks
Vicky Kouni
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
Zhangqi Jiang, Tingjin Luo, Xu Yang et al.
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
Jiyuan Shi, Xinzhe Liu, Dewei Wang et al.
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text
Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi et al.
Adversarial Robustness of Nonparametric Regression
Parsa Moradi, Hanzaleh Nodehi, Mohammad Maddah-Ali
Adversary Aware Optimization for Robust Defense
Daniel Wesego, Pedram Rooshenas
AdvPrefix: An Objective for Nuanced LLM Jailbreaks
Sicheng Zhu, Brandon Amos, Yuandong Tian et al.
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
Chenguang Duan, Yuling Jiao, Huazhen Lin et al.
A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement
Linlin Fan, Xingyu Liu, Mingliang Zhou et al.
AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
CHE WANG, Ziqi Zhang, Yinggui Wang et al.
A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
Siyuan Wu, Yongzhe Jia, Haolong Xiang et al.
A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity
Kuat Gazizov, Miguel A. Carreira-Perpinan