Papers
11,951 papers found
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning
Kunchang Li, Yali Wang, Gao Peng et al.
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang, Jie Fu, Yoshua Bengio et al.
Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu et al.
Universalizing Weak Supervision
Changho Shin, Winfred Li, Harit Vishwakarma et al.
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate
Yingtian Zou, Fusheng Liu, Qianxiao Li
Unrolling PALM for Sparse Semi-Blind Source Separation
Mohammad Fahes, Christophe Kervazo, Jérôme Bobin et al.
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Yurong You, Cheng Perng Phoo, Katie Luo et al.
Unsupervised Discovery of Object Radiance Fields
Hong-Xing Yu, Leonidas Guibas, Jiajun Wu
Unsupervised Disentanglement with Tensor Product Representations on the Torus
Michael Rotman, Amit Dekel, Shir Gur et al.
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
Peng Jin, Xitong Zhang, Yinpeng Chen et al.
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan et al.
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling
Bo Wan, Wenjuan Han, Zilong Zheng et al.
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
Simin Hong, Anthony Cohn, David Crossland Hogg
VAE Approximation Error: ELBO and Exponential Families
Alexander Shekhovtsov, Dmitrij Schlesinger, Boris Flach
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Dhruv Shah, Peng Xu, Yao Lu et al.
Value Gradient weighted Model-Based Reinforcement Learning
Claas A Voelcker, Victor Liao, Animesh Garg et al.
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Frederic Koehler, Viraj Mehta, Chenghui Zhou et al.
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
Kohei Miyaguchi, Takayuki Katsuki, Akira Koseki et al.
Variational methods for simulation-based inference
Manuel Glöckler, Michael Deistler, Jakob H. Macke
Variational Neural Cellular Automata
Rasmus Berg Palm, Miguel González Duque, Shyam Sudhakaran et al.
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo et al.
Variational Predictive Routing with Nested Subjective Timescales
Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Ruihai Wu, Yan Zhao, Kaichun Mo et al.
VC dimension of partially quantized neural networks in the overparametrized regime
Yutong Wang, Clayton Scott
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu, Xin Li, Jing Yu Koh et al.