Papers
572 papers found
Unsupervised Opinion Summarization Using Approximate Geodesics
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Dubey et al.
Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval
Yifan Qiao, Parker Carlson, Shanxiu He et al.
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Beiduo Chen, Xinpeng Wang, Siyao Peng et al.
SAFE: Schema-Driven Approximate Distance Join for Efficient Knowledge Graph Querying
Sangoh Lee, Sungho Park, Wook-Shin Han
Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search
Dror Aiger, Efi Kokiopoulou, Ehud Rivlin
What is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?
Masakazu Iwamura, Tomokazu Sato, Koichi Kise
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
Janis Postels, Francesco Ferroni, Huseyin Coskun et al.
Approximated Bilinear Modules for Temporal Modeling
Xinqi Zhu, Chang Xu, Langwen Hui et al.
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
Andrea Hornakova, Timo Kaiser, Paul Swoboda et al.
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?
Yue Song, Nicu Sebe, Wei Wang
Provably Approximated Point Cloud Registration
Ibrahim Jubran, Alaa Maalouf, Ron Kimmel et al.
Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization
Dror Aiger, Andre Araujo, Simon Lynen
Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models
Mikhail Terekhov, Viktor Larsson
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
Yiting Yang, Hao Luo, Yuan Sun et al.
MinCD-PnP: Learning 2D-3D Correspondences with Approximate Blind PnP
Pei An, Jiaqi Yang, Muyao Peng et al.
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
Yaxin Xiao, Qingqing Ye, Li Hu et al.
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn, Sergey Levine
Learning Approximate Inference Networks for Structured Prediction
Lifu Tu, Kevin Gimpel
Solving the Rubik's Cube with Approximate Policy Iteration
Stephen McAleer, Forest Agostinelli, Alexander Shmakov et al.
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li et al.
Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann et al.
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
Tuan Anh Le, Katherine M. Collins, Luke Hewitt et al.
Understanding approximate and unrolled dictionary learning for pattern recovery
Benoît Malézieux, Thomas Moreau, Matthieu Kowalski
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Kai Cui, Heinz Koeppl
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang, David W Zhang, Simon Lacoste-Julien et al.