deep neural network

Concept-based Explanations for Out-of-Distribution Detectors ICML 2023 Contextual Reliability: When Different Features Matter in Different Contexts ICML 2023 Convergence of Adam Under Relaxed Assumptions NeurIPS 2023 Coop: Memory is not a Commodity NeurIPS 2023 Corrupting Neuron Explanations of Deep Visual Features ICCV 2023 Cost-effective Artificial Neural Networks IJCAI 2023 Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification CVPR 2023 Deep Attentive Model for Knowledge Tracing AAAI 2023 Deep Frequency Filtering for Domain Generalization CVPR 2023 DeepGemini: Verifying Dependency Fairness for Deep Neural Network AAAI 2023 Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023 Deep Kernel Regression with Finite Learnable Kernels ACML 2023 Deep Learning for Medical Prediction in Electronic Health Records AAAI 2023 Deeply Supervised Curriculum Learning for Deep Neural Network-based Sound Source Localization Interspeech 2023 Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model NeurIPS 2023 Deep Recurrent Optimal Stopping NeurIPS 2023 Delving into Noisy Label Detection with Clean Data ICML 2023 Description and Analysis of ABC Submission to NIST LRE 2022 Interspeech 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 Deterministic equivalent and error universality of deep random features learning ICML 2023 DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction CVPR 2023 DIVISION: Memory Efficient Training via Dual Activation Precision ICML 2023 DNN-based Parameter Estimation for MVDR Beamforming and Post-filtering Interspeech 2023 Does a Neural Network Really Encode Symbolic Concepts? ICML 2023 Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023