Co-occurring keywords · papers mentioning both
Papers
Probabilistic Bilingual Subword Segmentation with Latent Subword Alignment
EACL 2026
Instability, Computational Efficiency and Statistical Accuracy
JMLR 2025
Open Set Label Shift with Test Time Out-of-Distribution Reference
CVPR 2025
Probabilistic Geometric Principal Component Analysis with application to neural data
ICLR 2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
ICML 2025
Block Sparse Bayesian Learning: A Diversified Scheme
NeurIPS 2024
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
ICML 2024
BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo
AAAI 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
NeurIPS 2023
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
NeurIPS 2023
Learning Mixtures of Markov Chains and MDPs
ICML 2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group
AISTATS 2023
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
PGM 2022
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
AAAI 2022
Key Mention Pairs Guided Document-Level Relation Extraction
COLING 2022
Toward Annotator Group Bias in Crowdsourcing
ACL 2022
Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks
JMLR 2021
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
AISTATS 2021
Bayesian Model Selection with Graph Structured Sparsity
JMLR 2020
Crowdsourcing with Multiple-Source Knowledge Transfer
IJCAI 2020
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
AAAI 2020
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm
AAAI 2020
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models
AISTATS 2020
VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals
CVPR 2020
Bayesian Deep Collaborative Matrix Factorization
AAAI 2019