Papers
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
Lujie Xia, Ziluo Ding, Rui Zhao et al.
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
Qing Wu, Lixuan Chen, Ce Wang et al.
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
Wengong Jin, Siranush Sarkizova, Xun Chen et al.
Unsupervised Semantic Correspondence Using Stable Diffusion
Eric Hedlin, Gopal Sharma, Shweta Mahajan et al.
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
Pengfei Wei, Lingdong Kong, Xinghua Qu et al.
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li, Sima Behpour, Thang Long Doan et al.
UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field
Injae Kim, Minhyuk Choi, Hyunwoo J Kim
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh et al.
Use perturbations when learning from explanations
Juyeon Heo, Vihari Piratla, Matthew Wicker et al.
User-Level Differential Privacy With Few Examples Per User
Badih Ghazi, Pritish Kamath, Ravi Kumar et al.
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
Naoki Egami, Musashi Hinck, Brandon Stewart et al.
Utilitarian Algorithm Configuration
Devon Graham, Kevin Leyton-Brown, Tim Roughgarden
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction
Yansong Ning, Hao Liu, Hao Wang et al.
Validated Image Caption Rating Dataset
Lothar D Narins, Andrew Scott, Aakash Gautam et al.
VanillaNet: the Power of Minimalism in Deep Learning
Hanting Chen, Yunhe Wang, Jianyuan Guo et al.
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
Oscar Li, James Harrison, Jascha Sohl-Dickstein et al.
Variational Annealing on Graphs for Combinatorial Optimization
Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter et al.
Variational Gaussian processes for linear inverse problems
Thibault RANDRIANARISOA, Botond Szabo
Variational Gaussian Processes with Decoupled Conditionals
Xinran Zhu, Kaiwen Wu, Natalie Maus et al.
Variational Inference with Gaussian Score Matching
Chirag Modi, Robert Gower, Charles Margossian et al.
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
Michael Scherbela, Leon Gerard, Philipp Grohs
Variational Weighting for Kernel Density Ratios
Sangwoong Yoon, Frank Park, Gunsu YUN et al.
VaRT: Variational Regression Trees
Sebastian Salazar
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Sihan Chen, Handong Li, Qunbo Wang et al.