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

AdvDrop: Adversarial Attack to DNNs by Dropping Information ICCV 2021
Neural Pseudo-Label Optimism for the Bank Loan Problem NIPS 2021
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks NIPS 2021
Embedding Principle of Loss Landscape of Deep Neural Networks NIPS 2021
Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021
Speaker Attentive Speech Emotion Recognition INTERSPEECH 2021
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy ICCV 2021
Robust Watermarking for Deep Neural Networks via Bi-Level Optimization ICCV 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification AAAI 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning AAAI 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion IJCAI 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks AAAI 2021
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks IJCAI 2021
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021
A Survey on Universal Adversarial Attack IJCAI 2021
Neural Tangent Generalization Attacks ICML 2021
Towards Defending against Adversarial Examples via Attack-Invariant Features ICML 2021
Efficient Combination of Rematerialization and Offloading for Training DNNs NIPS 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NIPS 2021
Structure Guided Lane Detection IJCAI 2021
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning JMLR 2021
Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data INTERSPEECH 2021
Self-Born Wiring for Neural Trees ICCV 2021