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Statistical Learning

4076 directly classified papers

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Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025
DDB: Diffusion Driven Balancing to Address Spurious Correlations ICCV 2025
Instance-level Randomization: Toward More Stable LLM Evaluations EMNLP 2025
Leveraging 3D Gaussian for Temporal Knowledge Graph Embedding EMNLP 2025
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025
Benchmarking Debiasing Methods for LLM-based Parameter Estimates EMNLP 2025
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs EMNLP 2025
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation CVPR 2025
Conformal Prediction for Zero-Shot Models CVPR 2025
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025
Reliability of Topic Modeling NAACL 2025
Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off WACV 2025
See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models ACL 2025
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings COLING 2025
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025
LLMSR@XLLM25: A Language Model-Based Pipeline for Structured Reasoning Data Construction ACL 2025
Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping RSS 2025
A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment ACL 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora ACL 2025
Memorization is Language-Sensitive: Analyzing Memorization and Inference Risks of LLMs in a Multilingual Setting ACL 2025