Papers
11,015 papers found
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
Abdullah Hamdi, Silvio Giancola, Bernard Ghanem
Volumetric Optimal Transportation by Fast Fourier Transform
Na Lei, DONGSHENG An, Min Zhang et al.
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Tong Wu, Jiaqi Wang, Xingang Pan et al.
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
Do-Yeon Kim, Dong-Jun Han, Jun Seo et al.
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
Florent Delgrange, Ann Nowe, Guillermo Perez
wav2tok: Deep Sequence Tokenizer for Audio Retrieval
Adhiraj Banerjee, Vipul Arora
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu, Zi Xuan Zhang, Atharva Naik et al.
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
Bo Wan, Yongfei Liu, Desen Zhou et al.
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
Martijn Oldenhof, Adam Arany, Yves Moreau et al.
Weighted Clock Logic Point Process
Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya et al.
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar et al.
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
Ido Galil, Mohammed Dabbah, Ran El-Yaniv
What Do Self-Supervised Vision Transformers Learn?
Namuk Park, Wonjae Kim, Byeongho Heo et al.
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Yihua Zhang, Pranay Sharma, Parikshit Ram et al.
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek, Dale Schuurmans, Jacob Andreas et al.
What Makes Convolutional Models Great on Long Sequence Modeling?
Yuhong Li, Tianle Cai, Yi Zhang et al.
What shapes the loss landscape of self supervised learning?
Liu Ziyin, Ekdeep Singh Lubana, Masahito Ueda et al.
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
Mert Yuksekgonul, Federico Bianchi, Pratyusha Kalluri et al.
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
Jianxiong Li, Xianyuan Zhan, Haoran Xu et al.
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
Li Yi, Gezheng Xu, Pengcheng Xu et al.
When to Make and Break Commitments?
Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen, Jianyu Wang, Kshitiz Malik et al.
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
Raghav Singhal, Mark Goldstein, Rajesh Ranganath
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
Yixiong Chen, Alan Yuille, Zongwei Zhou
Why adversarial training can hurt robust accuracy
Jacob Clarysse, Julia Hörrmann, Fanny Yang