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Optimization

14207 directly classified papers

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Papers

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure AAAI 2025
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025
TableKV: KV Cache Compression for In-Context Table Processing ACL 2025
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation AAAI 2025
Smarter, Not Harder: Training-Free Adaptive Computation for Transformers ACL 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025
BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle ACL 2025
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning ACL 2025
Unifying Streaming and Non-streaming Zipformer-based ASR ACL 2025
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity AAAI 2025
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025
MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo AAAI 2025
Enhancing Implicit Neural Representations via Symmetric Power Transformation AAAI 2025
A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time AAAI 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
Hierarchical Speculative Decoding with Dynamic Window NAACL 2025
Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods AAAI 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025
Guiding LLM-based Smart Contract Generation with Finite State Machine IJCAI 2025