neural network

ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret ICLR 2023 ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure ICLR 2023 Estimating Regression Predictive Distributions with Sample Networks AAAI 2023 Evaluating Adversarial Robustness of Low dose CT Recovery MIDL 2023 Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain EMNLP 2023 Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance NeurIPS 2023 Event-Based Shape From Polarization CVPR 2023 Exact Verification of ReLU Neural Control Barrier Functions NeurIPS 2023 Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods ICLR 2023 Expectation consistency for calibration of neural networks UAI 2023 Explainability-Aware One Point Attack for Point Cloud Neural Networks WACV 2023 Explicit Syntactic Guidance for Neural Text Generation ACL 2023 Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing ACL 2023 Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract) AAAI 2023 Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification AAAI 2023 Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023 Extremal Domain Translation with Neural Optimal Transport NeurIPS 2023 FAIRER: Fairness as Decision Rationale Alignment ICML 2023 Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023 Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023 Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation ACL 2023 Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023 Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond NeurIPS 2023 Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks ICLR 2023 Feature Separation and Recalibration for Adversarial Robustness CVPR 2023