conftrace_

gaussian distribution

127 papers

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Co-occurring keywords

sample complexity (1169) uncertainty quantification (1393) bayesian inference (1907) online learning (1777) learning theory (519) differential privacy (1016) agnostic learning (76) gaussian process (1200) statistical query (50) variational inference (2069)

Papers

REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025
ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection CVPR 2025
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks AAAI 2025
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025
EDMB: Edge Detector with Mamba WACV 2025
Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection CVPR 2025
Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization ICCV 2025
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework AAAI 2025
GauCho: Gaussian Distributions with Cholesky Decomposition for Oriented Object Detection CVPR 2025
Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection ICCV 2025
Proxy-Driven Robust Multimodal Sentiment Analysis with Incomplete Data ACL 2025
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025
Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings ACL 2025
GHOST: Gaussian Hypothesis Open-Set Technique AAAI 2025
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NIPS 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NIPS 2024
Testably Learning Polynomial Threshold Functions NIPS 2024
A faster and simpler algorithm for learning shallow networks COLT 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NIPS 2024
Testable Learning of General Halfspaces with Adversarial Label Noise COLT 2024
Reliable Learning of Halfspaces under Gaussian Marginals NIPS 2024
Active Learning of General Halfspaces: Label Queries vs Membership Queries NIPS 2024
Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification AAAI 2024
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution CVPR 2023
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval ICCV 2023