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Neural Network Optimization

3,649 papers

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Papers

Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping INTERSPEECH 2024
On Improving Error Resilience of Neural End-to-End Speech Coders INTERSPEECH 2024
Speech Prefix-Tuning with RNNT Loss for Improving LLM Predictions INTERSPEECH 2024
Improving Noise Robustness in Self-supervised Pre-trained Model for Speaker Verification INTERSPEECH 2024
Boosting CTC-based ASR using inter-layer attention-based CTC loss INTERSPEECH 2024
Speaker Personalization for Automatic Speech Recognition using Weight-Decomposed Low-Rank Adaptation INTERSPEECH 2024
Contemplative Mechanism for Speech Recognition: Speech Encoders can Think INTERSPEECH 2024
Linear-Complexity Self-Supervised Learning for Speech Processing INTERSPEECH 2024
RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search INTERSPEECH 2024
ElasticAST: An Audio Spectrogram Transformer for All Length and Resolutions INTERSPEECH 2024
wTIMIT2mix: A Cocktail Party Mixtures Database to Study Target Speaker Extraction for Normal and Whispered Speech INTERSPEECH 2024
A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks JMLR 2024
Iterate Averaging in the Quest for Best Test Error JMLR 2024
On the Generalization of Stochastic Gradient Descent with Momentum JMLR 2024
Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent JMLR 2024
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees JMLR 2024
Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions JMLR 2024
Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024
Learning to Warm-Start Fixed-Point Optimization Algorithms JMLR 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks JMLR 2024
Sharpness-Aware Minimization and the Edge of Stability JMLR 2024