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iterative optimization
76 papers
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depth estimation
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Papers
Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
AAAI 2026
C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
AAAI 2026
Physics-Aware Accelerated Unrolling Model for Sparse-View CT Reconstruction
AAAI 2026
Efficient Plug-and-Play Weight Refinement for Sparse Large Models
AAAI 2026
WRitEer: A Multi-Objective, Preference-Driven Multi-Agent Framework for Human-Like Advanced Text Generation
AAAI 2026
DRaM-LHM: A Quaternion Framework for Iterative Camera Pose Estimation
ICCV 2025
Consistency-aware Self-Training for Iterative-based Stereo Matching
CVPR 2025
Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks
EMNLP 2025
Evolving Chinese Spelling Correction with Corrector-Verifier Collaboration
EMNLP 2025
Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing
CVPR 2025
ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities
EMNLP 2025
Guiding LLM-based Smart Contract Generation with Finite State Machine
IJCAI 2025
Uncertainty-Aware Iterative Preference Optimization for Enhanced LLM Reasoning
ACL 2025
IterIS: Iterative Inference-Solving Alignment for LoRA Merging
CVPR 2025
Towards Fairer Centroids in K-means Clustering
AAAI 2024
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning
IJCAI 2024
Masked Pre-training Enables Universal Zero-shot Denoiser
NIPS 2024
SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
AAAI 2024
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training
CVPR 2024
Robust Self-calibration of Focal Lengths from the Fundamental Matrix
CVPR 2024
Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
CVPR 2024
Learning via Surrogate PAC-Bayes
NIPS 2024
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers
JMLR 2023
Select and Optimize: Learning to solve large-scale TSP instances
AISTATS 2023
Pruning Pre-trained Language Models with Principled Importance and Self-regularization
ACL 2023
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