Optimization
17,731 papers
Papers per year
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117
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377
337
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415
546
768
1,185
1,385
1,651
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2,026
2,683
2,825
673
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Papers
AffineQuant: Affine Transformation Quantization for Large Language Models
ICLR 2024
A Field Guide for Pacing Budget and ROS Constraints
ICML 2024
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
ACL 2024
AFPQ: Asymmetric Floating Point Quantization for LLMs
ACL 2024
A Framework for Centralized Traffic Routing in Urban Areas
IJCAI 2024
A Framework for Data-Driven Explainability in Mathematical Optimization
AAAI 2024
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
ICML 2024
A Frustratingly Simple Decoding Method for Neural Text Generation
COLING 2024
A General Search-Based Framework for Generating Textual Counterfactual Explanations
AAAI 2024
A General Theoretical Paradigm to Understand Learning from Human Preferences
AISTATS 2024
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
AAAI 2024
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization
NeurIPS 2024
Agnostic Multi-Robust Learning using ERM
AISTATS 2024
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
ICML 2024
A high-quality robust diffusion framework for corrupted dataset
ECCV 2024
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
AAAI 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
AAAI 2024
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks
NeurIPS 2024
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models
EMNLP 2024
Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models
ICML 2024
Algorithm for Automatic Legislative Text Consolidation
EMNLP 2024
Algorithmic Foundation of Federated Learning with Sequential Data
AAAI 2024
Algorithmic progress in language models
NeurIPS 2024
Algorithms for Caching and MTS with reduced number of predictions
ICLR 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
COLT 2024