Optimization

Improving Subgroup Robustness via Data Selection NeurIPS 2024 Improving Temporal Link Prediction via Temporal Walk Matrix Projection NeurIPS 2024 Improving the Training of Rectified Flows NeurIPS 2024 Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NeurIPS 2024 Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024 In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024 Incentive-Aware Federated Learning with Training-Time Model Rewards ICLR 2024 In-Context Example Ordering Guided by Label Distributions NAACL 2024 In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization NeurIPS 2024 In-Context Learning State Vector with Inner and Momentum Optimization NeurIPS 2024 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NeurIPS 2024 Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024 Indirectly Parameterized Concrete Autoencoders ICML 2024 Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs AAAI 2024 Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy AAAI 2024 Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NeurIPS 2024 Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints ICML 2024 Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024 Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ICML 2024 InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management OSDI 2024 Infinite-Dimensional Feature Interaction NeurIPS 2024 InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ICLR 2024 InFoBench: Evaluating Instruction Following Ability in Large Language Models ACL 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NeurIPS 2024 Initialization Matters for Adversarial Transfer Learning CVPR 2024