Papers
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
Zhaomin Wu, Qinbin Li, Bingsheng He
Action-modulated midbrain dopamine activity arises from distributed control policies
Jack Lindsey, Ashok Litwin-Kumar
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment
Joseph DelPreto, Chao Liu, Yiyue Luo et al.
Active Bayesian Causal Inference
Christian Toth, Lars Lorch, Christian Knoll et al.
Active Exploration for Inverse Reinforcement Learning
David Lindner, Andreas Krause, Giorgia Ramponi
Active Labeling: Streaming Stochastic Gradients
Vivien Cabannes, Francis R. Bach, Vianney Perchet et al.
Active Learning for Multiple Target Models
Ying-Peng Tang, Sheng-Jun Huang
Active Learning Helps Pretrained Models Learn the Intended Task
Alex Tamkin, Dat Nguyen, Salil Deshpande et al.
Active Learning of Classifiers with Label and Seed Queries
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi et al.
Active Learning Polynomial Threshold Functions
Omri Ben-Eliezer, Max Hopkins, Chutong Yang et al.
Active Learning Through a Covering Lens
Ofer Yehuda, Avihu Dekel, Guy Hacohen et al.
Active Learning with Neural Networks: Insights from Nonparametric Statistics
Yinglun Zhu, Robert Nowak
Active Learning with Safety Constraints
Romain Camilleri, Andrew Wagenmaker, Jamie H Morgenstern et al.
Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods
Laurent Jospin, Allen Antony, Lian Xu et al.
Active Ranking without Strong Stochastic Transitivity
Hao Lou, Tao Jin, Yue Wu et al.
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
Jannik Kossen, Sebastian Farquhar, Yarin Gal et al.
AdaFocal: Calibration-aware Adaptive Focal Loss
Arindam Ghosh, Thomas Schaaf, Matthew Gormley
Adam Can Converge Without Any Modification On Update Rules
Yushun Zhang, Congliang Chen, Naichen Shi et al.
A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate
Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk et al.
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
Xingsi Dong, Zilong Ji, Tianhao Chu et al.
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen, Chongjian GE, Zhan Tong et al.
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Viraj Prabhu, Sriram Yenamandra, Aaditya Singh et al.
Adapting to Online Label Shift with Provable Guarantees
Yong Bai, Yu-Jie Zhang, Peng Zhao et al.
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang, Yang Liu, Parinaz Naghizadeh
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Dandan Guo, Long Tian, He Zhao et al.