Optimization
1,960 papers
Papers per year
5
2
4
2
3
4
8
25
19
28
34
44
82
125
160
195
201
234
394
302
89
'10
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'25
Papers
DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment
EMNLP 2025
Dual-Balancing for Physics-Informed Neural Networks
IJCAI 2025
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
CVPR 2025
Dynamic Acoustic Model Architecture Optimization in Training for ASR
Interspeech 2025
Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification
AAAI 2025
Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification
AAAI 2025
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
NAACL 2025
ECoRAG: Evidentiality-guided Compression for Long Context RAG
ACL 2025
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
ICCV 2025
Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set
ICML 2025
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation
CVPR 2025
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
ACL 2025
Efficient Inference for Large Language Models –Algorithm, Model, and System
EMNLP 2025
Efficient Robustness Evaluation via Constraint Relaxation
AAAI 2025
ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
ICML 2025
End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation
EMNLP 2025
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance
ICCV 2025
Enhancing Logits Distillation with Plug&Play Kendall’s $τ$ Ranking Loss
ICML 2025
ETA: Energy-based Test-time Adaptation for Depth Completion
ICCV 2025
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
EMNLP 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
CVPR 2025
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
AAAI 2025
Faster and Better LLMs via Latency-Aware Test-Time Scaling
EMNLP 2025
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
ACML 2025
Faster Double Adaptive Gradient Methods
AAAI 2025