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neural network

7,070 papers

NN

Papers

On Achieving Optimal Adversarial Test Error ICLR 2023 On Calibrating Diffusion Probabilistic Models NeurIPS 2023 On double-descent in uncertainty quantification in overparametrized models AISTATS 2023 On Kinetic Optimal Probability Paths for Generative Models ICML 2023 Online Symbolic Regression with Informative Query AAAI 2023 On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters ICML 2023 On the Correspondence between Compositionality and Imitation in Emergent Neural Communication ACL 2023 On the Effects of Structural Modeling for Neural Semantic Parsing CoNLL 2023 On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing ACL 2023 On the Expressivity Role of LayerNorm in Transformers’ Attention ACL 2023 On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition Interspeech 2023 On the Functional Similarity of Robust and Non-Robust Neural Representations ICML 2023 On the Identifiability and Estimation of Causal Location-Scale Noise Models ICML 2023 On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning Interspeech 2023 On the Paradox of Learning to Reason from Data IJCAI 2023 On the Performance of Temporal Difference Learning With Neural Networks ICLR 2023 On the Perils of Cascading Robust Classifiers ICLR 2023 On the Role of Generalization in Transferability of Adversarial Examples UAI 2023 On The Specialization of Neural Modules ICLR 2023 On the spectral bias of two-layer linear networks NeurIPS 2023 On the Surprising Effectiveness of Name Matching Alone in Autoregressive Entity Linking ACL 2023 On Training a Neural Residual Acoustic Echo Suppressor for Improved ASR Interspeech 2023 OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception ICCV 2023 OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding ACL 2023 Optimal Unbiased Randomizers for Regression with Label Differential Privacy NeurIPS 2023