Papers
21,849 papers found
A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking
Hao Chen, Yufei Zhu, Yongjian Deng
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong, Jie Hao, Mingrui Liu
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani et al.
An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
Jung-hun Kim, Milan Vojnović, Se-Young Yun
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
Yuzhe Gu, Ziwei Ji, Wenwei Zhang et al.
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
Romain Ilbert, Malik Tiomoko, Cosme Louart et al.
Analysing the Generalisation and Reliability of Steering Vectors
Daniel Tan, David Chanin, Aengus Lynch et al.
Analysis of Corrected Graph Convolutions
Robert Wang, Aseem Baranwal, Kimon Fontoulakis
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
Chaitanya Goswami, Amanda Merkley
Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
Atli Kosson, Bettina Messmer, Martin Jaggi
An Analysis of Elo Rating Systems via Markov Chains
Sam Olesker-Taylor, Luca Zanetti
An Analysis of Tokenization: Transformers under Markov Data
Nived Rajaraman, Jiantao Jiao, Kannan Ramchandran
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
Manel Rodriguez-Soto, Juan A. Rodriguez-Aguilar, Maite Lopez-Sanchez
An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling
Shenbao Yu, Yinghui Pan, Yifeng Zeng et al.
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
Heyang Zhao, Jiafan He, Quanquan Gu
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
Ilias Diakonikolas, Nikos Zarifis
An effective framework for estimating individualized treatment rules
Joowon Lee, Jared D. Huling, Guanhua Chen
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
Shengbo Wang, Jose Blanchet, Peter Glynn
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
Dong Li, Aijia Zhang, Junqi Gao et al.
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
Tong Wu, Yanpeng Zhao, Zilong Zheng
An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval
Huilong Jin, Yingxue Zhang, Lei Shi et al.
An engine not a camera: Measuring performative power of online search
Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
An Equivalence Between Static and Dynamic Regret Minimization
Andrew Jacobsen, Francesco Orabona
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro et al.