Optimization

Improving robustness to corruptions with multiplicative weight perturbations NeurIPS 2024 Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024 Improving the Training of Rectified Flows NeurIPS 2024 In-Context Learning State Vector with Inner and Momentum Optimization NeurIPS 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NeurIPS 2024 Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space NeurIPS 2024 In Search of a Data Transformation That Accelerates Neural Field Training CVPR 2024 Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning CVPR 2024 Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion NeurIPS 2024 IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model NeurIPS 2024 Iterate Averaging in the Quest for Best Test Error JMLR 2024 Knowledge Fusion By Evolving Weights of Language Models ACL 2024 Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks NeurIPS 2024 KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS 2024 L0-Sampler: An L0 Model Guided Volume Sampling for NeRF CVPR 2024 LabelDP-Pro: Learning with Label Differential Privacy via Projections ICLR 2024 Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024 Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NeurIPS 2024 Latency Correction for Event-guided Deblurring and Frame Interpolation CVPR 2024 Layer-Adaptive State Pruning for Deep State Space Models NeurIPS 2024 Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation WACV 2024 Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning ICML 2024 Layer-wise Regularized Dropout for Neural Language Models COLING 2024 LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024 Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network ECCV 2024