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

Cross-Loss Influence Functions to Explain Deep Network Representations AISTATS 2022
Generalization Error Bounds on Deep Learning with Markov Datasets NIPS 2022
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans AAAI 2021
EVET: Enhancing Visual Explanations of Deep Neural Networks Using Image Transformations WACV 2021
Feature Space Targeted Attacks by Statistic Alignment IJCAI 2021
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021
Learning Progressive Point Embeddings for 3D Point Cloud Generation CVPR 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking CVPR 2021
LQF: Linear Quadratic Fine-Tuning CVPR 2021
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations AAAI 2021
Adversarial Examples in Physical World IJCAI 2021
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles ACL 2021
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs IJCAI 2021
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021
Multi-level Distance Regularization for Deep Metric Learning AAAI 2021
Analyzing Deep Neural Network's Transferability via Frechet Distance WACV 2021
Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation CVPR 2021
`Less Than One'-Shot Learning: Learning N Classes From M < N Samples AAAI 2021
LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection AAAI 2021
When Are Solutions Connected in Deep Networks? NIPS 2021
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling AAAI 2021
A Recipe for Global Convergence Guarantee in Deep Neural Networks AAAI 2021
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning JMLR 2021