Papers
21,849 papers found
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection
Yujin Wang, Tianyi Xu, Fan Zhang et al.
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
Daksh Mittal, Yuanzhe Ma, Shalmali Joshi et al.
Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment
Wei Li, Lujun Li, Mark Lee et al.
Adaptive Passive-Aggressive Framework for Online Regression with Side Information
Runhao Shi, Jiaxi Ying, Daniel P. Palomar
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
Ilgee Hong, Zichong Li, Alexander Bukharin et al.
Adaptive Proximal Gradient Method for Convex Optimization
Yura Malitsky, Konstantin Mishchenko
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy et al.
Adaptive Sampling for Efficient Softmax Approximation
Tavor Z. Baharav, Ryan Kang, Colin Sullivan et al.
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
Wei Jiang, Sifan Yang, Yibo Wang et al.
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Naitik Khandelwal, Xiao Liu, Mengmi Zhang
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
Yizhe Huang, Xingbo Wang, Hao Liu et al.
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
Andrej Tschalzev, Sascha Marton, Stefan Lüdtke et al.
Ad Auctions for LLMs via Retrieval Augmented Generation
MohammadTaghi Hajiaghayi, Sébastien Lahaie, Keivan Rezaei et al.
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation
Wenfang Yao, Chen Liu, Kejing Yin et al.
Addressing Bias in Online Selection with Limited Budget of Comparisons
Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder et al.
Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
Yanghao Xiao, Haoxuan Li, Yongqiang Tang et al.
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
Ronglong Fang, Yuesheng Xu
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
Nikhil Behari, Edwin Zhang, Yunfan Zhao et al.
A distributional simplicity bias in the learning dynamics of transformers
Riccardo Rende, Federica Gerace, Alessandro Laio et al.
AdjointDEIS: Efficient Gradients for Diffusion Models
Zander W. Blasingame, Chen Liu
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate
Shohei Taniguchi, Keno Harada, Gouki Minegishi et al.
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
Jin Li, Ziqiang He, Anwei Luo et al.
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
Yicheng Xu, Yuxin Chen, Jiahao Nie et al.