Machine Learning

Memory-Efficient 4-bit Preconditioned Stochastic Optimization ICCV 2025 Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices EMNLP 2025 Memory-Efficient Continual Learning with Neural Collapse Contrastive WACV 2025 Memory-Efficient Generative Models via Product Quantization ICCV 2025 Memory Efficient Matting with Adaptive Token Routing AAAI 2025 Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model WACV 2025 Memory Efficient Transformer Adapter for Dense Predictions ICLR 2025 Memory Layers at Scale ICML 2025 Memory Mosaics ICLR 2025 Memory or Reasoning? Explore How LLMs Compute Mixed Arithmetic Expressions ACL 2025 Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025 Memory Tokens: Large Language Models Can Generate Reversible Sentence Embeddings ACL 2025 MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025 Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders AAAI 2025 Mention detection with LLMs in pair-programming dialogue EMNLP 2025 MENTOR: Human Perception-Guided Pretraining for Increased Generalization WACV 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025 MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation AAAI 2025 MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper EMNLP 2025 MEraser: An Effective Fingerprint Erasure Approach for Large Language Models ACL 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention CoRL 2025 MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs ICML 2025 Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation ICML 2025 Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models ACL 2025 MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs NAACL 2025