conftrace_

convolutional layer

26 papers

Explore in graph

Co-occurring keywords

neural network (6616) convolutional neural network (4226) speech recognition (1226) feature fusion (555) deep neural network (1803) automatic speech recognition (1774) data augmentation (3052) adversarial robustness (1341) image classification (1944) representation learning (6206)

Papers

Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers JMLR 2025
Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024
RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection INTERSPEECH 2024
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training CVPR 2023
Monaural Speech Separation Method Based on Recurrent Attention with Parallel Branches INTERSPEECH 2023
Resource-Efficient Hybrid X-Formers for Vision WACV 2022
Ortho-Shot: Low Displacement Rank Regularization With Data Augmentation for Few-Shot Learning WACV 2022
Pro-CCaps: Progressively Teaching Colourisation to Capsules WACV 2022
Evolving Attention with Residual Convolutions ICML 2021
Generalized Shape Metrics on Neural Representations NIPS 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NIPS 2021
SRPOL’s System for the IWSLT 2020 End-to-End Speech Translation Task ACL 2020
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint CVPR 2020
Task-Oriented Feature Distillation NIPS 2020
ARMA Nets: Expanding Receptive Field for Dense Prediction NIPS 2020
Graph Attention Network with Memory Fusion for Aspect-level Sentiment Analysis AACL 2020
Depth Completion via Deep Basis Fitting WACV 2020
The Level Weighted Structural Similarity Loss: A Step Away from MSE AAAI 2019
PR Product: A Substitute for Inner Product in Neural Networks ICCV 2019
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation NIPS 2018
Information Encoding by Deep Neural Networks: What Can We Learn? INTERSPEECH 2018
Gradually Updated Neural Networks for Large-Scale Image Recognition ICML 2018
Parseval Networks: Improving Robustness to Adversarial Examples ICML 2017
Coping with Unseen Data Conditions: Investigating Neural Net Architectures, Robust Features, and Information Fusion for Robust Speech Recognition INTERSPEECH 2016