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Showing 76–100 of 334 papers

TitleStatusHype
A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT—0
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching—0
A Short Image Series Based Scheme for Time Series Digital Image Correlation—0
A Contrastive Framework for Learning Sentence Representations from Pairwise and Triple-wise Perspective in Angular Space—0
ConIsI: A Contrastive Framework with Inter-sentence Interaction for Self-supervised Sentence Representation—0
Finetuning Transformer Models to Build ASAG System—0
Extracting Sentence Embeddings from Pretrained Transformer Models—0
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings—0
FarFetched: An Entity-centric Approach for Reasoning on Textually Represented Environments—0
Compressing Sentence Representation via Homomorphic Projective Distillation—0
Articulation Work and Tinkering for Fairness in Machine Learning—0
Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese—0
Fast and Discriminative Semantic Embedding—0
AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment—0
Towards Building Efficient Sentence BERT Models using Layer Pruning—0
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals—0
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English—0
Empirical Analysis of Efficient Fine-Tuning Methods for Large Pre-Trained Language Models—0
Are Classes Clusters?—0
2-Tier SimCSE: Elevating BERT for Robust Sentence Embeddings—0
Efficient Domain Adaptation of Sentence Embeddings Using Adapters—0
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model—0
Enhancing conversational quality in language learning chatbots: An evaluation of GPT4 for ASR error correction—0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations—0
EASE: Entity-Aware Contrastive Learning of Sentence Embedding—0
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