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Papers
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison
EMNLP 2024
Deep Active Learning with Noise Stability
AAAI 2024
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation
WACV 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
AISTATS 2024
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
ICML 2024
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization
NeurIPS 2024
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement
CVPR 2024
DiffSF: Diffusion Models for Scene Flow Estimation
NeurIPS 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
AISTATS 2024
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
ACL 2024
DORY: Deliberative Prompt Recovery for LLM
ACL 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
AISTATS 2024
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
NeurIPS 2024
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
NeurIPS 2024
Enabling Uncertainty Estimation in Iterative Neural Networks
ICML 2024
Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition
WACV 2024
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
AAAI 2024
ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
CVPR 2024
Graph-based Uncertainty Metrics for Long-form Language Model Generations
NeurIPS 2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
COLING 2024
Hierarchical Selective Classification
NeurIPS 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
NeurIPS 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
NeurIPS 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
ACL 2024