Contrastive Learning
3,748 papers
Papers per year
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Papers
Activity-Based Early Autism Diagnosis Using a Multi-Dataset Supervised Contrastive Learning Approach
WACV 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
EMNLP 2024
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
A Fixed-Point Approach to Unified Prompt-Based Counting
AAAI 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
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
ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation
ACL 2024
AMEND: Adaptive Margin and Expanded Neighborhood for Efficient Generalized Category Discovery
WACV 2024
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
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 Empirical Study of CLIP for Text-Based Person Search
AAAI 2024
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
AAAI 2024
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
NeurIPS 2024
An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions
EMNLP 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
ICLR 2024