Optimization
17,731 papers
Papers per year
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Papers
Streamlining Conformal Information Retrieval via Score Refinement
EMNLP 2024
Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies
Interspeech 2024
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation
NAACL 2024
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
ICLR 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
JMLR 2024
Structured Optimal Brain Pruning for Large Language Models
EMNLP 2024
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport
AISTATS 2024
Structure Learning with Continuous Optimization: A Sober Look and Beyond
CLeaR 2024
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure
IJCAI 2024
Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
ICML 2024
Subgoal-based Demonstration Learning for Formal Theorem Proving
ICML 2024
Subhomogeneous Deep Equilibrium Models
ICML 2024
Submodular-based In-context Example Selection for LLMs-based Machine Translation
COLING 2024
Submodular framework for structured-sparse optimal transport
ICML 2024
Submodular Minimax Optimization: Finding Effective Sets
AISTATS 2024
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
ICML 2024
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
ECCV 2024
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures
AAAI 2024
SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis
CVPR 2024
Supervised Matrix Factorization: Local Landscape Analysis and Applications
ICML 2024
Surrogate Active Subspaces for Jump-Discontinuous Functions
AISTATS 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
EMNLP 2024
SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
CVPR 2024
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
ICLR 2024
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
ECCV 2024