← Optimization & Theory
Deep Learning › Optimization & Theory ›

Optimization

1638 directly classified papers

Papers per year

Papers

DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NIPS 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NIPS 2024
Solving Attention Kernel Regression Problem via Pre-conditioner AISTATS 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance CVPR 2024
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024
Understanding and Improving Optimization in Predictive Coding Networks AAAI 2024
On the Unstable Convergence Regime of Gradient Descent AAAI 2024
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NIPS 2024
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024
Rethinking 3D Convolution in $\ell_p$-norm Space NIPS 2024
Mean-Shift Feature Transformer CVPR 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NIPS 2024
Preparing Lessons for Progressive Training on Language Models AAAI 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective NIPS 2024
Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NIPS 2024
Constant Acceleration Flow NIPS 2024
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation CVPR 2024
Constrained Synthesis with Projected Diffusion Models NIPS 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition NIPS 2024