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Statistical Learning

4076 directly classified papers

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Papers

Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting ACL 2024
Causal Estimation of Memorisation Profiles ACL 2024
SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition INTERSPEECH 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NIPS 2024
Data Contamination Calibration for Black-box LLMs ACL 2024
Estimating the Hallucination Rate of Generative AI NIPS 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NIPS 2024
Nowcasting Temporal Trends Using Indirect Surveys AAAI 2024
ANAH: Analytical Annotation of Hallucinations in Large Language Models ACL 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
BizBench: A Quantitative Reasoning Benchmark for Business and Finance ACL 2024
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NIPS 2024
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees AAAI 2024
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks ACL 2024
Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy EMNLP 2024
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024
Symmetries in Overparametrized Neural Networks: A Mean Field View NIPS 2024
Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NIPS 2024
Quantifying the Role of Textual Predictability in Automatic Speech Recognition INTERSPEECH 2024
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? NIPS 2024
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024
DoubleLingo: Causal Estimation with Large Language Models NAACL 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024