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TitleStatusHype
Decoding Emotional Experiences in Dyadic Conversations of Married Couples: Leveraging Semantic Similarity through Sentence Embedding—0
Back Home: A Machine Learning Approach to Seashell Classification and Ecosystem Restoration—0
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts—0
Decomposing Natural Logic Inferences in Neural NLI—0
STL: Surprisingly Tricky Logic (for System Validation)—0
Decomposition of Differences in Distribution under Sample Selection and the Gender Wage Gap—0
Word Embedding and Topic Modeling Enhanced Multiple Features for Content Linking and Argument / Sentiment Labeling in Online Forums—0
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression—0
Deduction under Perturbed Evidence: Probing Student Simulation Capabilities of Large Language Models—0
Axiomatic Aggregations of Abductive Explanations—0
Variance-Adjusted Cosine Distance as Similarity Metric—0
DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods—0
A XGBoost Algorithm-based Fatigue Recognition Model Using Face Detection—0
A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval—0
A Variational View on Bootstrap Ensembles as Bayesian Inference—0
Stochastic Linear Bandits with Hidden Low Rank Structure—0
Stochastic Local Interaction (SLI) Model: Interfacing Machine Learning and Geostatistics—0
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs—0
Stochastic Monotonicity and Random Utility Models: The Good and The Ugly—0
Deep Involutive Generative Models for Neural MCMC—0
A Valid Self-Report is Never Late, Nor is it Early: On Considering the "Right" Temporal Distance for Assessing Emotional Experience—0
Deep Kinematic Pose Regression—0
Deep Learning and Music Adversaries—0
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks—0
Deep Learning for Two-Sided Matching—0
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