Machine Learning

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding ICLR 2025 A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language ICLR 2025 APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025 A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data ICML 2025 A Physics-Informed Blur Learning Framework for Imaging Systems CVPR 2025 A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems ICML 2025 A Picture is Worth a Thousand (Correct) Captions: A Vision-Guided Judge-Corrector System for Multimodal Machine Translation AACL 2025 APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph IJCAI 2025 A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft AAAI 2025 A Pipeline to Assess Merging Methods via Behavior and Internals EMNLP 2025 APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty AAAI 2025 APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025 A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes AAAI 2025 A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence ICLR 2025 Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming ICLR 2025 A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions COLT 2025 App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation IJCAI 2025 Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation CVPR 2025 Applying the Character-Role Narrative Framework with LLMs to Investigate Environmental Narratives in Scientific Editorials and Tweets ACL 2025 Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding ICLR 2025 Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025 Approximate Differential Privacy of the ℓ_2 Mechanism ICML 2025 Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025 Approximate Equivariance in Reinforcement Learning AISTATS 2025 Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees ICML 2025