conftrace_

gradient descent

1144 papers

Explore in graph

Also known as

GD

Co-occurring keywords

neural network (6616) neural network optimization (1293) convex optimization (1321) non-convex optimization (547) convergence rate (607) stochastic optimization (1060) convergence analysis (395) stochastic gradient descent (1091) nonconvex optimization (316) implicit bia (107)

Papers

SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025
Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs AAAI 2025
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks AAAI 2025
MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025
Learning Task Representations from In-Context Learning ACL 2025
Optimization Over a Probability Simplex JMLR 2025
Reversed Attention: On The Gradient Descent Of Attention Layers In GPT NAACL 2025
Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis JMLR 2025
Corpus Poisoning via Approximate Greedy Gradient Descent ACL 2025
Early Alignment in Two-Layer Networks Training is a Two-Edged Sword JMLR 2025
Injecting Imbalance Sensitivity for Multi-Task Learning IJCAI 2025
Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training EMNLP 2025
Unity in Diversity: Video Editing via Gradient-Latent Purification CVPR 2025
DRM Revisited: A Complete Error Analysis JMLR 2025
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions JMLR 2025
Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025
On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm JMLR 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing ICCV 2025
Debiased Active Learning with Variational Gradient Rectifier AAAI 2025
Towards Source-Free Machine Unlearning CVPR 2025