Papers
11,015 papers found
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott, Julius Von Kügelgen, Frederik Träuble et al.
Visual Representation Learning over Latent Domains
Lucas Deecke, Timothy Hospedales, Hakan Bilen
ViTGAN: Training GANs with Vision Transformers
Kwonjoon Lee, Huiwen Chang, Lu Jiang et al.
Vitruvion: A Generative Model of Parametric CAD Sketches
Ari Seff, Wenda Zhou, Nick Richardson et al.
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du, Zhaoning Wang, Mu Cai et al.
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards
Xingyu Cai, Jiahong Yuan, Yuchen Bian et al.
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Liang Peng, Senbo Yan, Boxi Wu et al.
Weighted Training for Cross-Task Learning
Shuxiao Chen, Koby Crammer, Hangfeng He et al.
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan, Warren Richard Morningstar, Lin Ning et al.
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Zhiyuan Li, Tianhao Wang, Sanjeev Arora
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different
Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn et al.
What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization
Maximilian Böther, Otto Kißig, Martin Taraz et al.
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
Ziang Song, Song Mei, Yu Bai
When should agents explore?
Miruna Pislar, David Szepesvari, Georg Ostrovski et al.
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Xiangning Chen, Cho-Jui Hsieh, Boqing Gong
When, Why, and Which Pretrained GANs Are Useful?
Timofey Grigoryev, Andrey Voynov, Artem Babenko
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Luca Scimeca, Seong Joon Oh, Sanghyuk Chun et al.
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
Yanchao Sun, Ruijie Zheng, Yongyuan Liang et al.
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
Changchun Li, Ximing Li, Lei Feng et al.
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Yangkun Wang, Jiarui Jin, Weinan Zhang et al.
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
Franziska Geiger, Martin Schrimpf, Tiago Marques et al.
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
Xiaofang Wang, Dan Kondratyuk, Eric Christiansen et al.
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev, Oleg Olegovich Sushkov, Jean-Baptiste Regli et al.
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang, Xinyang Chen, Jianmin Wang et al.
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien, Chao Pan, Jianhao Peng et al.