contrastive learning

Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models ACL 2024 Advancing CSR Theme and Topic Classification: LLMs and Training Enhancement Insights COLING 2024 Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss EMNLP 2024 Advancing Vision-Language Models with Adapter Ensemble Strategies EMNLP 2024 A Generic Method for Fine-grained Category Discovery in Natural Language Texts EMNLP 2024 A Gradient Accumulation Method for Dense Retriever under Memory Constraint NeurIPS 2024 AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings EMNLP 2024 AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024 A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024 AlexuNLP24 at AraFinNLP2024: Multi-Dialect Arabic Intent Detection with Contrastive Learning in Banking Domain ACL 2024 AlexUNLP-BH at StanceEval2024: Multiple Contrastive Losses Ensemble Strategy with Multi-Task Learning For Stance Detection in Arabic ACL 2024 AlexUNLP-MZ at ArAIEval Shared Task: Contrastive Learning, LLM Features Extraction and Multi-Objective Optimization for Arabic Multi-Modal Meme Propaganda Detection ACL 2024 AlexUNLP-STM at NADI 2024 shared task: Quantifying the Arabic Dialect Spectrum with Contrastive Learning, Weighted Sampling, and BERT-based Regression Ensemble ACL 2024 Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering CVPR 2024 All Beings Are Equal in Open Set Recognition AAAI 2024 ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation ACL 2024 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024 A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation AAAI 2024 A Multimodal, Multi-Task Adapting Framework for Video Action Recognition AAAI 2024 A Mutual Information Perspective on Federated Contrastive Learning ICLR 2024 Analysis of Transformers for Medical Image Retrieval MIDL 2024 Analysis of Using Sigmoid Loss for Contrastive Learning AISTATS 2024 An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing CVPR 2024 An Empirical Study of CLIP for Text-Based Person Search AAAI 2024 An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval NeurIPS 2024