deep neural network

Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm ICML 2021 Spatially-Varying Outdoor Lighting Estimation From Intrinsics CVPR 2021 Speaker Attentive Speech Emotion Recognition Interspeech 2021 Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition Interspeech 2021 Speech Denoising Without Clean Training Data: A Noise2Noise Approach Interspeech 2021 Speech Emotion Recognition with Multi-Task Learning Interspeech 2021 Stable ResNet AISTATS 2021 Structure Guided Lane Detection IJCAI 2021 Subsurface Pipes Detection Using DNN-Based Back Projection on GPR Data WACV 2021 Systems for Low-Resource Speech Recognition Tasks in Open Automatic Speech Recognition and Formosa Speech Recognition Challenges Interspeech 2021 Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021 Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits ICLR 2021 Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions ICML 2021 The Connection Between Approximation, Depth Separation and Learnability in Neural Networks COLT 2021 The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry AISTATS 2021 The staircase property: How hierarchical structure can guide deep learning NeurIPS 2021 THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness NeurIPS 2021 Towards Defending against Adversarial Examples via Attack-Invariant Features ICML 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 Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes CoRL 2021 Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems NeurIPS 2021 Understanding and Improving Early Stopping for Learning with Noisy Labels NeurIPS 2021 Understanding Gradient Clipping In Incremental Gradient Methods AISTATS 2021