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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation IJCAI 2025 MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models ICLR 2025 MM-IFEngine: Towards Multimodal Instruction Following ICCV 2025 MMInA: Benchmarking Multihop Multimodal Internet Agents ACL 2025 MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention ICML 2025 MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models ICLR 2025 MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models AAAI 2025 MMLabUIT at CoMeDiShared Task: Text Embedding Techniques versus Generation-Based NLI for Median Judgment Classification COLING 2025 MMLF: Multi-query Multi-passage Late Fusion Retrieval NAACL 2025 MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark ACL 2025 MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding AAAI 2025 MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ACL 2025 MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation IJCAI 2025 MM-R3: On (In-)Consistency of Vision-Language Models (VLMs) ACL 2025 MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation ICLR 2025 MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation ACL 2025 MMRL: Multi-Modal Representation Learning for Vision-Language Models CVPR 2025 MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech Tokens ACL 2025 MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception CVPR 2025 MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models ACL 2025 “Mm, Wat?” Detecting Other-initiated Repair Requests in Dialogue EMNLP 2025 MNLP at PerAnsSumm: A Classifier-Refiner Architecture for Improving the Classification of Consumer Health User Responses NAACL 2025 MNLP@DravidianLangTech 2025: Transformers vs. Traditional Machine Learning: Analyzing Sentiment in Tamil Social Media Posts NAACL 2025 MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data CVPR 2025 MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices ICCV 2025