Papers
11,955 papers found
3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation
ZHENNAN WU, YANG LI, Yifei Huang et al.
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee, Shunxing Bao, Yuankai Huo et al.
AANG : Automating Auxiliary Learning
Lucio M. Dery, Paul Michel, Mikhail Khodak et al.
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F Jaeger, Carsten Tim Lüth, Lukas Klein et al.
Accelerated Single-Call Methods for Constrained Min-Max Optimization
Yang Cai, Weiqiang Zheng
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa, Supasorn Suwajanakorn
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
Jun-Kun Wang, Andre Wibisono
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
Michael Volpp, Philipp Dahlinger, Philipp Becker et al.
Accurate Image Restoration with Attention Retractable Transformer
Jiale Zhang, Yulun Zhang, Jinjin Gu et al.
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
Brian Chmiel, Ron Banner, Elad Hoffer et al.
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen et al.
Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation
Arnob Ghosh, Xingyu Zhou, Ness Shroff
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar, Yuhao Ding, Bilgehan Sel et al.
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
Yuelin Wang, Kai Yi, Xinliang Liu et al.
A Control-Centric Benchmark for Video Prediction
Stephen Tian, Chelsea Finn, Jiajun Wu
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
Jiajin Li, Jianheng Tang, Lemin Kong et al.
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov, Denis Kuznedelev, Michael Diskin et al.
Actionable Neural Representations: Grid Cells from Minimal Constraints
Will Dorrell, Peter E. Latham, Timothy E. J. Behrens et al.
Active Image Indexing
Pierre Fernandez, Matthijs Douze, Herve Jegou et al.
Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation
Younghyun Park, Wonjeong Choi, Soyeong Kim et al.
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Qingru Zhang, Minshuo Chen, Alexander Bukharin et al.
Adaptive Optimization in the $\infty$-Width Limit
Etai Littwin, Greg Yang