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Showing 51–75 of 111 papers

TitleStatusHype
Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies—0
Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading—0
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge AugmentationCode0
Can Pre-trained Models Really Generate Single-Step Textual Entailment?—0
Dynamic Entity Memory Network for Dialogue Relational Triplet Extraction—0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
Do We Know What We Don’t Know? Studying Unanswerable Questions beyond SQuAD 2.0—0
Cross-Architecture Distillation Using Bidirectional CMOW Embeddings—0
Robust Temporal Ensembling for Learning with Noisy Labels—0
CT-ICP: Real-time Elastic LiDAR Odometry with Loop ClosureCode1
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence RepresentationsCode1
Finetuned Language Models Are Zero-Shot LearnersCode3
Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds—0
RTE: A Tool for Annotating Relation Triplets from Text—0
Figurative Language in Recognizing Textual EntailmentCode0
Machine learning moment closure models for the radiative transfer equation II: enforcing global hyperbolicity in gradient based closures—0
Design and implementation of an environment for Learning to Run a Power Network (L2RPN)Code1
Deep Online Correction for Monocular Visual Odometry—0
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference—0
Robust Temporal Ensembling—0
Clustering high dimensional meteorological scenarios: results and performance index—0
A Survey on Recognizing Textual Entailment as an NLP Evaluation—0
Margin-Based Regularization and Selective Sampling in Deep Neural Networks—0
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language ModelsCode0
Convolutional Neural Network for emotion recognition to assist psychiatrists and psychologists during the COVID-19 pandemic: experts opinion—0
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