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Deep Learning
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Model Architecture
4,351 papers
Papers per year
2006: 1
2008: 1
2009: 1
2010: 1
2013: 5
2014: 5
2015: 22
2016: 57
2017: 124
2018: 231
2019: 415
2020: 405
2021: 617
2022: 503
2023: 619
2024: 584
2025: 505
2026: 255
Papers
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
AAAI 2021
Searching for Alignment in Face Recognition
AAAI 2021
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
AAAI 2021
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
AAAI 2021
BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds
AAAI 2021
Efficient License Plate Recognition via Holistic Position Attention
AAAI 2021
Distribution Adaptive INT8 Quantization for Training CNNs
AAAI 2021
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
AAAI 2021
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks
AAAI 2021
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
AAAI 2021
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans
AAAI 2021
Interpretable Actions: Controlling Experts with Understandable Commands
AAAI 2021
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
AAAI 2021
Fast Training of Provably Robust Neural Networks by SingleProp
AAAI 2021
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation
AAAI 2021
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
AAAI 2021
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
AAAI 2021
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
AAAI 2021
Collaborative Group Learning
AAAI 2021
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
AAAI 2021
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling
AAAI 2021
Linearly Replaceable Filters for Deep Network Channel Pruning
AAAI 2021
A Recipe for Global Convergence Guarantee in Deep Neural Networks
AAAI 2021
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees
AAAI 2021
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
AAAI 2021
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