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Optimization

17,731 papers

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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