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

Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023
Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023
Benign Overfitting in Deep Neural Networks under Lazy Training ICML 2023
Unsupervised Auditory and Semantic Entrainment Models with Deep Neural Networks INTERSPEECH 2023
Description and Analysis of ABC Submission to NIST LRE 2022 INTERSPEECH 2023
Steganography of Steganographic Networks AAAI 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection AAAI 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
Weighted Von Mises Distribution-based Loss Function for Real-time STFT Phase Reconstruction Using DNN INTERSPEECH 2023
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability CVPR 2023
How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning INTERSPEECH 2023
Mutual Learning for Long-Tailed Recognition WACV 2023
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization AAAI 2023
Mapping DNN Embedding Manifolds for Network Generalization Prediction WACV 2023
HAD-ANC: A Hybrid System Comprising an Adaptive Filter and Deep Neural Networks for Active Noise Control INTERSPEECH 2023
Adaptive Sample Selection for Robust Learning Under Label Noise WACV 2023
Integrating Random Effects in Deep Neural Networks JMLR 2023
SERF: Towards Better Training of Deep Neural Networks Using Log-Softplus ERror Activation Function WACV 2023
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width ICML 2023
Deep Attentive Model for Knowledge Tracing AAAI 2023
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI AAAI 2023
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023