conftrace_

deep neural network

1803 papers

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Also known as

DNN DNNS

Co-occurring keywords

neural network (6616) adversarial attack (1621) deep learning (2118) image classification (1944) representation learning (6206) model compression (3302) convolutional neural network (4226) automatic speech recognition (1774) speech enhancement (581) neural network optimization (1293)

Papers

Neural Pseudo-Label Optimism for the Bank Loan Problem NIPS 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization NIPS 2021
Fractional moment-preserving initialization schemes for training deep neural networks AISTATS 2021
Understanding and Improving Early Stopping for Learning with Noisy Labels NIPS 2021
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints NIPS 2021
Stable ResNet AISTATS 2021
Measuring Generalization with Optimal Transport NIPS 2021
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification INTERSPEECH 2021
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs ICML 2021
Continuous vs. Discrete Optimization of Deep Neural Networks NIPS 2021
Fairness via Representation Neutralization NIPS 2021
A Comparison of the Accuracy of Dissen and Keshet’s (2016) DeepFormants and Traditional LPC Methods for Semi-Automatic Speaker Recognition INTERSPEECH 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs NIPS 2021
Online Meta-Learning via Learning with Layer-Distributed Memory NIPS 2021
Bidirectional Multiscale Feature Aggregation for Speaker Verification INTERSPEECH 2021
Empirical Analysis of Generalized Iterative Speech Separation Networks INTERSPEECH 2021
Low-Delay Speech Enhancement Using Perceptually Motivated Target and Loss INTERSPEECH 2021
Watermarking Deep Neural Networks with Greedy Residuals ICML 2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks NIPS 2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021
Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling INTERSPEECH 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021