conftrace_

deep neural network

1803 papers

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Also known as

DNN DNNS

Co-occurring keywords

neural network (6616) adversarial attack (1621) deep learning (2118) image classification (1944) representation learning (6206) model compression (3302) convolutional neural network (4226) automatic speech recognition (1774) speech enhancement (581) neural network optimization (1293)

Papers

Progressive Poisoned Data Isolation for Training-Time Backdoor Defense AAAI 2024
Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024
Towards the Dynamics of a DNN Learning Symbolic Interactions NIPS 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NIPS 2024
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks AISTATS 2024
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean AISTATS 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex AISTATS 2024
DNN-based monaural speech enhancement using alternate analysis windows for phase and magnitude modification INTERSPEECH 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
Purified and Unified Steganographic Network CVPR 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
dkit@LT-EDI-2024: Detecting Homophobia and Transphobia in English Social Media Comments EACL 2024
Fida @DravidianLangTech 2024: A Novel Approach to Hate Speech Detection Using Distilbert-base-multilingual-cased EACL 2024
Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024
CNC-Net: Self-Supervised Learning for CNC Machining Operations CVPR 2024
Provable and Efficient Dataset Distillation for Kernel Ridge Regression NIPS 2024
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model NIPS 2024
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024
Knowledge Distillation for Tiny Speech Enhancement with Latent Feature Augmentation INTERSPEECH 2024
Classification with Deep Neural Networks and Logistic Loss JMLR 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NIPS 2024
Typicalness-Aware Learning for Failure Detection NIPS 2024
Explanation in the Era of Large Language Models NAACL 2024