conftrace_

convergence speed

28 papers

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Co-occurring keywords

stochastic gradient descent (1091) neural network optimization (1293) neural network training (309) bounding box regression (78) acoustic echo cancellation (42) adaptive filter (15) partial differential equation (222) importance sampling (318) loss landscape (149) deep learning (2118)

Papers

Physics-informed Kernel Learning JMLR 2025
Taming LLMs with Gradient Grouping ACL 2025
Improved Noise Schedule for Diffusion Training ICCV 2025
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025
Efficient Joint Bemforming and Acoustic Echo Cancellation Structure for Conference Call Scenarios INTERSPEECH 2024
Why Go Full? Elevating Federated Learning Through Partial Network Updates NIPS 2024
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NIPS 2024
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks NIPS 2024
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024
In Search of a Data Transformation That Accelerates Neural Field Training CVPR 2024
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links NIPS 2024
Low Complexity Echo Delay Estimator Based on Binarized Feature Matching INTERSPEECH 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation NIPS 2024
Investigating Pre-trained Audio Encoders in the Low-Resource Condition INTERSPEECH 2023
Poseidon: Efficient, Robust, and Practical Datacenter CC via Deployable INT NSDI 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision CVPR 2023
Backforward Propagation (Student Abstract) AAAI 2023
Symmetry Teleportation for Accelerated Optimization NIPS 2022
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression AAAI 2022
Improving Stability of Fine-Tuning Pretrained Language Models via Component-Wise Gradient Norm Clipping EMNLP 2022
ReZero is all you need: fast convergence at large depth UAI 2021
Projected GANs Converge Faster NIPS 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation EMNLP 2021