conftrace_

model complexity

20 papers

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Co-occurring keywords

model compression (3302) convolutional neural network (4226) generalization error (285) neural network (6616) neural architecture search (666) attention mechanism (4001) bayesian inference (1907) unsupervised learning (3264) time series forecasting (364) real-time processing (162)

Papers

EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks AAAI 2024
SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight Conv-TasNet and State Space Modeling INTERSPEECH 2024
Scaling Law for Time Series Forecasting NIPS 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024
Complexity Matters: Rethinking the Latent Space for Generative Modeling NIPS 2023
A Neural State-Space Modeling Approach to Efficient Speech Separation INTERSPEECH 2023
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning NIPS 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023
Resource-Adaptive Federated Learning with All-In-One Neural Composition NIPS 2022
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020
Efficient Neural Architecture Search via Proximal Iterations AAAI 2020
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NIPS 2020
DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NIPS 2015
An Information Geometry of Statistical Manifold Learning ICML 2014
Fast Rigid Motion Segmentation via Incrementally-Complex Local Models CVPR 2013
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012
Measuring model complexity with the prior predictive NIPS 2009
Simplifying Mixture Models through Function Approximation NIPS 2006