deep neural network

Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers ICLR 2022 DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning NeurIPS 2022 Deep Multi-Fidelity Active Learning of High-Dimensional Outputs AISTATS 2022 Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation AAAI 2022 Deep Probability Estimation ICML 2022 Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches Interspeech 2022 DeformRS: Certifying Input Deformations with Randomized Smoothing AAAI 2022 Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization ICML 2022 Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network NeurIPS 2022 Distributed adversarial training to robustify deep neural networks at scale UAI 2022 DIVA: Dataset Derivative of a Learning Task ICLR 2022 Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract) AAAI 2022 Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation IJCAI 2022 EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes COLING 2022 Energy-Based Contrastive Learning of Visual Representations NeurIPS 2022 Enhancing Documentation of Hupa with Automatic Speech Recognition ACL 2022 Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network ICML 2022 ExplainIt!: A Tool for Computing Robust Attributions of DNNs IJCAI 2022 Explicit Tradeoffs between Adversarial and Natural Distributional Robustness NeurIPS 2022 Exploiting Co-occurrence Frequency of Emotions in Perceptual Evaluations To Train A Speech Emotion Classifier Interspeech 2022 Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners Interspeech 2022 Exploiting Invariance in Training Deep Neural Networks AAAI 2022 Extended Unconstrained Features Model for Exploring Deep Neural Collapse ICML 2022 Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method AAAI 2022 Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning ICML 2022