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Optimization & Theory

6,829 papers (27 classified directly here)

Subtopics

Model Compression (1,785) Optimization (1,664) Efficient Computing (1,579) Theory (1,082) Neural Network Optimization (903) Evaluation (509) Loss Functions (123) Interpretability (105) Stochastic Methods (97) Regularization (77) Generalization (24) Sparse Optimization (7)

Papers per year

8
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1173
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Papers (including subtopics)

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks IJCAI 2022
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes IJCAI 2022
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs IJCAI 2022
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022
Itero: An Online Iterative Voting Application IJCAI 2022
Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks IJCNLP 2022
Regularizing Transformer-based Acoustic Models by Penalizing Attention Weights INTERSPEECH 2022
DF-ResNet: Boosting Speaker Verification Performance with Depth-First Design INTERSPEECH 2022
Adaptive Rectangle Loss for Speaker Verification INTERSPEECH 2022
PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition INTERSPEECH 2022
Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices INTERSPEECH 2022
MSR-NV: Neural Vocoder Using Multiple Sampling Rates INTERSPEECH 2022
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models INTERSPEECH 2022
MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks INTERSPEECH 2022
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization INTERSPEECH 2022
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification INTERSPEECH 2022
Low-bit Shift Network for End-to-End Spoken Language Understanding INTERSPEECH 2022
Toward Low-Cost End-to-End Spoken Language Understanding INTERSPEECH 2022
NAS-VAD: Neural Architecture Search for Voice Activity Detection INTERSPEECH 2022
Self-Normalized Importance Sampling for Neural Language Modeling INTERSPEECH 2022
On Biased Stochastic Gradient Estimation JMLR 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022