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Deep Learning
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Neural Networks
11,300 papers
Papers per year
2002: 2
2003: 3
2006: 11
2007: 13
2008: 16
2009: 16
2010: 23
2011: 27
2012: 30
2013: 55
2014: 69
2015: 145
2016: 408
2017: 695
2018: 1065
2019: 1479
2020: 1348
2021: 1407
2022: 1147
2023: 1123
2024: 1083
2025: 811
2026: 324
Papers
Predicting Temporal Sets with Simplified Fully Connected Networks
AAAI 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
AAAI 2023
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM
AAAI 2023
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data
AAAI 2023
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning
AAAI 2023
Steganography of Steganographic Networks
AAAI 2023
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability
AAAI 2023
GenéLive! Generating Rhythm Actions in Love Live!
AAAI 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks
AAAI 2023
Interactive Concept Bottleneck Models
AAAI 2023
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines
AAAI 2023
Simulating Network Paths with Recurrent Buffering Units
AAAI 2023
Scalable Theory-Driven Regularization of Scene Graph Generation Models
AAAI 2023
Riemannian Local Mechanism for SPD Neural Networks
AAAI 2023
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher
AAAI 2023
Scalable Spatiotemporal Graph Neural Networks
AAAI 2023
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
AAAI 2023
Goal-Conditioned Generators of Deep Policies
AAAI 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
AAAI 2023
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
AAAI 2023
Astromorphic Self-Repair of Neuromorphic Hardware Systems
AAAI 2023
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance
AAAI 2023
Learnable Path in Neural Controlled Differential Equations
AAAI 2023
Exploring Temporal Information Dynamics in Spiking Neural Networks
AAAI 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization
AAAI 2023
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