Papers
11,015 papers found
Unsupervised visualization of image datasets using contrastive learning
Niklas Böhm, Philipp Berens, Dmitry Kobak
Unveiling the sampling density in non-uniform geometric graphs
Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann et al.
User-Interactive Offline Reinforcement Learning
Phillip Swazinna, Steffen Udluft, Thomas Runkler
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Albert Yu, Ray Mooney
Using Language to Extend to Unseen Domains
Lisa Dunlap, Clara Mohri, Devin Guillory et al.
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Ce Liu, Suryansh Kumar, Shuhang Gu et al.
Valid P-Value for Deep Learning-driven Salient Region
Miwa Daiki, Vo Nguyen Le Duy, Ichiro Takeuchi
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
Deyao Zhu, Li Erran Li, Mohamed Elhoseiny
Variance-Aware Sparse Linear Bandits
Yan Dai, Ruosong Wang, Simon Shaolei Du
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
Eduard Gorbunov, Samuel Horváth, Peter Richtárik et al.
Variational Information Pursuit for Interpretable Predictions
Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele et al.
Variational Latent Branching Model for Off-Policy Evaluation
Qitong Gao, Ge Gao, Min Chi et al.
Verifying the Union of Manifolds Hypothesis for Image Data
Bradley CA Brown, Anthony L. Caterini, Brendan Leigh Ross et al.
Versatile Neural Processes for Learning Implicit Neural Representations
Zongyu Guo, Cuiling Lan, Zhizheng Zhang et al.
Video Scene Graph Generation from Single-Frame Weak Supervision
Siqi Chen, Jun Xiao, Long Chen
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency
Pengzhen Ren, Changlin Li, Hang Xu et al.
View Synthesis with Sculpted Neural Points
Yiming Zuo, Jia Deng
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
Thanh Nguyen-Tang, Raman Arora
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman et al.
Vision Transformer Adapter for Dense Predictions
Zhe Chen, Yuchen Duan, Wenhai Wang et al.
Visual Classification via Description from Large Language Models
Sachit Menon, Carl Vondrick
Visual Imitation Learning with Patch Rewards
Minghuan Liu, Tairan He, Weinan Zhang et al.
Visually-Augmented Language Modeling
Weizhi Wang, Li Dong, Hao Cheng et al.
Visual Recognition with Deep Nearest Centroids
Wenguan Wang, Cheng Han, Tianfei Zhou et al.
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis
Angtian Wang, Peng Wang, Jian Sun et al.