Machine Learning

Enhancing Multimodal Unified Representations for Cross Modal Generalization ACL 2025 Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment AAAI 2025 Enhancing Multi-View Classification Reliability with Adaptive Rejection AAAI 2025 Enhancing NER by Harnessing Multiple Datasets with Conditional Variational Autoencoders ACL 2025 Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation NAACL 2025 Enhancing Neural Machine Translation Through Target Language Data: A kNN-LM Approach for Domain Adaptation ACL 2025 Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning AAAI 2025 Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025 Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning AAAI 2025 Enhancing Novel Object Detection via Cooperative Foundational Models WACV 2025 Enhancing Numerical Prediction of MLLMs with Soft Labeling ICCV 2025 Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework COLING 2025 Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism COLING 2025 Enhancing Online Climate Discourse: A Two-Stage Framework for Climate Content Categorization and Moderation IJCAI 2025 Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization CVPR 2025 Enhancing Online Grooming Detection via Backtranslation Augmentation COLING 2025 Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data AAAI 2025 Enhancing Parallelism in Decentralized Stochastic Convex Optimization ICML 2025 Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning ICCV 2025 Enhancing Partially Relevant Video Retrieval with Robust Alignment Learning EMNLP 2025 Enhancing Participatory Development Research in South Asia through LLM Agents System: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri Lankan COLING 2025 Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning ACL 2025 Enhancing Plagiarism Detection in Marathi with a Weighted Ensemble of TF-IDF and BERT Embeddings for Low-Resource Language Processing COLING 2025 Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning IJCAI 2025 Enhancing Portuguese Variety Identification with Cross-Domain Approaches AAAI 2025