Papers
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
Xiaowen Jiang, Sebastian U Stich
Adaptive Test-Time Personalization for Federated Learning
Wenxuan Bao, Tianxin Wei, Haohan Wang et al.
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
Naoki Nishikawa, Yuichi Ike, Kenji Yamanishi
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
Tsai Hor Chan, Kin Wai Lau, Jiajun Shen et al.
Adaptive whitening with fast gain modulation and slow synaptic plasticity
Lyndon Duong, Eero P. Simoncelli, Dmitri B. Chklovskii et al.
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Yang Yu, Qi Liu, Kai Zhang et al.
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
Sara Babakniya, Zalan Fabian, Chaoyang He et al.
A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers
Sapna Chaudhary, Mukulika Maity, Sandip Chakraborty et al.
A Dataset of Relighted 3D Interacting Hands
Gyeongsik Moon, Shunsuke Saito, Weipeng Xu et al.
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
Paribesh Regmi, Rui Li
Add and Thin: Diffusion for Temporal Point Processes
David Lüdke, Marin Biloš, Oleksandr Shchur et al.
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas et al.
Addressing Negative Transfer in Diffusion Models
Hyojun Go, Kim, Yunsung Lee et al.
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Luke Taylor, Andrew King, Nicol S Harper
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
Zijie Geng, Xijun Li, Jie Wang et al.
A Definition of Continual Reinforcement Learning
David Abel, Andre Barreto, Benjamin Van Roy et al.
ADGym: Design Choices for Deep Anomaly Detection
Minqi Jiang, Chaochuan Hou, Ao Zheng et al.
A Diffusion-Model of Joint Interactive Navigation
Matthew Niedoba, Jonathan Lavington, Yunpeng Liu et al.
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Yuxin Pan, Yize Chen, Fangzhen Lin
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
Jiakang Yuan, Bo Zhang, Xiangchao Yan et al.
A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains
Minkyu Choi, Kuan Han, Xiaokai Wang et al.
Advancing Bayesian Optimization via Learning Correlated Latent Space
Seunghun Lee, Jaewon Chu, Sihyeon Kim et al.
Adversarial Attacks on Online Learning to Rank with Click Feedback
Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang et al.
Adversarial Counterfactual Environment Model Learning
Xiong-Hui Chen, Yang Yu, Zhengmao Zhu et al.
Adversarial Examples Are Not Real Features
Ang Li, Yifei Wang, Yiwen Guo et al.