NEURIPS Poster Papers
4,493 papers found • Page 5 of 90
AliO: Output Alignment Matters in Long-Term Time Series Forecasting
Kwangryeol Park, Jaeho Kim, Seulki Lee
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
Will Merrill, Ashish Sabharwal
Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
Chenyu Zhu, Yefeng Liu, Hao Zhang et al.
All that structure matches does not glitter
Maya Martirossyan, Thomas Egg, Philipp Höllmer et al.
All You Need is One: Capsule Prompt Tuning with a Single Vector
Yiyang Liu, James Liang, Heng Fan et al.
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models
Weifei Jin, Yuxin Cao, Junjie Su et al.
AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms
Raphael Boige, Amine Boumaza, Bruno Scherrer
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
Di He, Songjun Tu, Ajay Jaiswal et al.
AlphaFold Database Debiasing for Robust Inverse Folding
Cheng Tan, Zhenxiao Cao, Zhangyang Gao et al.
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks
Daniel Kunin, Giovanni Luca Marchetti, Feng Chen et al.
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu, Yujia Wang, Jinghui Chen et al.
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
Lingfeng Wang, Hualing Lin, Senda Chen et al.
A Markov Decision Process for Variable Selection in Branch & Bound
Paul STRANG, Zacharie ALES, Côme Bissuel et al.
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
Niklas Freymuth, Tobias Würth, Nicolas Schreiber et al.
A-Mem: Agentic Memory for LLM Agents
Wujiang Xu, Zujie Liang, Kai Mei et al.
A Minimalist Example of Edge-of-Stability and Progressive Sharpening
Liming Liu, Zixuan Zhang, Simon Du et al.
A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
Xiaoxuan Gong, Jie Ma
AmorLIP: Efficient Language-Image Pretraining via Amortization
Haotian Sun, Yitong Li, Yuchen Zhuang et al.
Amortized Active Generation of Pareto Sets
Daniel Steinberg, Asiri Wijesinghe, Rafael Oliveira et al.
Amortized Sampling with Transferable Normalizing Flows
Charlie Tan, Majdi Hassan, Leon Klein et al.
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
Tsai Hor Chan, Feng Wu, Yihang Chen et al.
A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
Gaku Morio, Harri Rowlands, Dominik Stammbach et al.
A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals
Ziyu Jia, Tingyu Du, Zhengyu Tian et al.
A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
Fitsum Gaim, Hoyun Song, Huije Lee et al.
An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
Xu Shi, Rufeng Xiao, Rujun Jiang
An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
Fuyuan Xiao, Yu Zhou, Witold Pedrycz
Analog Foundation Models
Julian Büchel, Iason Chalas, Giovanni Acampa et al.
Analogy-based Multi-Turn Jailbreak against Large Language Models
Mengjie Wu, Yihao Huang, Zhenjun Lin et al.
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Jifeng Hu, Sili Huang, Zhejian Yang et al.
Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
Jiachen Jiang, Jinxin Zhou, Bo Peng et al.
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh et al.
Analyzing the Power of Chain of Thought through Memorization Capabilities
Lijia Yu, Xiao-Shan Gao, Lijun Zhang
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
Seonghwan Park, Jueun Mun, Donghyun Oh et al.
Anatomically inspired digital twins capture hierarchical object representations in visual cortex
Emanuele Luconi, Dario Liscai, Carlo Baldassi et al.
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Zhijian Zhou, Liuhua Peng, Xunye Tian et al.
Anchored Diffusion Language Model
Litu Rout, Constantine Caramanis, Sanjay Shakkottai
A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond
Zicheng Hu, Cheng Chen
An Effective Levelling Paradigm for Unlabeled Scenarios
Fangming Cui, Zhou Yu, Di Yang et al.
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks
Linus Aronsson, Morteza Haghir Chehreghani
An Ellipsoid Algorithm for Online Convex Optimization
Zakaria Mhammedi
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
Wenjun Ji, Yuxiang Fu, Luyang Ying et al.
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
Shaojie Zhang, Ke Chen
An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
Tim van Erven, Jack Mayo, Julia Olkhovskaya et al.
An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
Bo Peng, Jie Lu, Guangquan Zhang et al.
An Investigation of Memorization Risk in Healthcare Foundation Models
Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour et al.
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
Johanna Düngler, Amartya Sanyal
AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models
Jiaxi Cheng, Yuliang Xu, Shoupeng Wang et al.
Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
Walid Durani, Collin Leiber, Khalid Durani et al.
A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits
Guo Zeng, Jean Honorio
Anti-Aliased 2D Gaussian Splatting
Mae Younes, Adnane Boukhayma