Machine Learning

LookCloser: Frequency-aware Radiance Field for Tiny-Detail Scene CVPR 2025 Looking at Model Debiasing through the Lens of Anomaly Detection WACV 2025 Looking at the Unseen: Effective Sampling of Non-Related Propositions for Argument Mining COLING 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets ICLR 2025 Looking Beyond the Pixels: Evaluating Visual Metaphor Understanding in VLMs EMNLP 2025 Looking Beyond the Top-1: Transformers Determine Top Tokens in Order ICML 2025 Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models ICCV 2025 Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling EMNLP 2025 Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication COLING 2025 Looped ReLU MLPs May Be All You Need as Practical Programmable Computers AISTATS 2025 LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models ICLR 2025 LoRACLR: Contrastive Adaptation for Customization of Diffusion Models CVPR 2025 LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025 LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025 LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization ICLR 2025 LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation COLING 2025 LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025 LoRA-Gen: Specializing Large Language Model via Online LoRA Generation ICML 2025 LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning ICLR 2025 LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently ICML 2025 LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning EMNLP 2025 LoRA-Pro: Are Low-Rank Adapters Properly Optimized? ICLR 2025 LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation ICCV 2025 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025