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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Balanced Ranking with Relative Centrality: A multi-core periphery perspective ICLR 2025 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Balanced Sharpness-Aware Minimization for Imbalanced Regression ICCV 2025 Balancing Act: Diversity and Consistency in Large Language Model Ensembles ICLR 2025 Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation ICCV 2025 Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025 Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality ICML 2025 Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025 Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning IJCAI 2025 Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model MLHC 2025 Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation IJCAI 2025 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data ICML 2025 Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization AAAI 2025 Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations NAACL 2025 Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions EMNLP 2025 Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation WACV 2025 Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion ICCV 2025 Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning ACL 2025 Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data ICML 2025 Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration CVPR 2025 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation IJCAI 2025 Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems IJCAI 2025 Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025 BALSAM: A Platform for Benchmarking Arabic Large Language Models EMNLP 2025 BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping ICLR 2025