Optimization
17,731 papers
Papers per year
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546
768
1,185
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1,651
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2,683
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Papers
Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends
ACL 2024
Maximizing the Success Probability of Policy Allocations in Online Systems
AAAI 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network
CVPR 2024
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks
IJCAI 2024
Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
ICML 2024
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
NeurIPS 2024
Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization
ICML 2024
Mean-Shift Feature Transformer
CVPR 2024
Measures of diversity and space-filling designs for categorical data
ICML 2024
Mechanism design augmented with output advice
NeurIPS 2024
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
EMNLP 2024
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
NeurIPS 2024
Memory Augmented Language Models through Mixture of Word Experts
NAACL 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NeurIPS 2024
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information
AAAI 2024
MESSI: Behavioral Testing of BGP Implementations
NSDI 2024
Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges
COLING 2024
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters
IJCAI 2024
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
NeurIPS 2024
Meta-Learning Priors Using Unrolled Proximal Networks
ICLR 2024
Methods for recovering conditional independence graphs (Abstract Reprint)
IJCAI 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold
NeurIPS 2024
MgNO: Efficient Parameterization of Linear Operators via Multigrid
ICLR 2024
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
NeurIPS 2024
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator
IJCAI 2024