Papers
Algorithms with Prediction Portfolios
Michael Dinitz, Sungjin Im, Thomas Lavastida et al.
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
Youngmin Oh, Donghyeon Baek, Bumsub Ham
Aligning individual brains with fused unbalanced Gromov Wasserstein
Alexis Thual, Quang Huy TRAN, Tatiana Zemskova et al.
Alignment-guided Temporal Attention for Video Action Recognition
Yizhou Zhao, Zhenyang Li, Xun Guo et al.
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
Siwei Wang, Xinwang Liu, Suyuan Liu et al.
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina, Max Welling, Jakub Tomczak
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient
Yewen Li, Chaojie Wang, Zhibin Duan et al.
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Jing Xu, Xu Luo, Xinglin Pan et al.
All Politics is Local: Redistricting via Local Fairness
Shao-Heng Ko, Erin Taylor, Pankaj Agarwal et al.
ALMA: Hierarchical Learning for Composite Multi-Agent Tasks
Shariq Iqbal, Robby Costales, Fei Sha
A Lower Bound of Hash Codes' Performance
Xiaosu Zhu, Jingkuan Song, Yu Lei et al.
Alternating Mirror Descent for Constrained Min-Max Games
Andre Wibisono, Molei Tao, Georgios Piliouras
Ambiguous Images With Human Judgments for Robust Visual Event Classification
Kate Sanders, Reno Kriz, Anqi Liu et al.
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
Weichao Mao, Haoran Qiu, Chen Wang et al.
A Mixture Of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao, Matthieu Lin, Yangguang Li et al.
Amortized Inference for Causal Structure Learning
Lars Lorch, Scott Sussex, Jonas Rothfuss et al.
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Axel Levy, Gordon Wetzstein, Julien N.P Martel et al.
Amortized Mixing Coupling Processes for Clustering
Huafeng Liu, Liping Jing
Amortized Projection Optimization for Sliced Wasserstein Generative Models
Khai Nguyen, Nhat Ho
Amortized Proximal Optimization
Juhan Bae, Paul Vicol, Jeff Z. HaoChen et al.
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Chongjian GE et al.
AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness
Dacheng Li, Hongyi Wang, Eric P. Xing et al.
Amplifying Membership Exposure via Data Poisoning
Yufei Chen, Chao Shen, Yun Shen et al.
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
Ville Hyvönen, Elias Jääsaari, Teemu Roos
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Fabian Falck, Christopher K. I. Williams, Dominic Danks et al.