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Deep Learning
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Neural Networks
11300 directly classified 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
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning
AAAI 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
AISTATS 2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
AAAI 2024
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening
AAAI 2024
Sequence Length Independent Norm-Based Generalization Bounds for Transformers
AISTATS 2024
Layer Compression of Deep Networks with Straight Flows
AAAI 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
AAAI 2024
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
AAAI 2024
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
AAAI 2024
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
AAAI 2024
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network
AAAI 2024
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
AAAI 2024
Tracking Tiny Insects in Cluttered Natural Environments Using Refinable Recurrent Neural Networks
WACV 2024
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
AAAI 2024
NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem
AAAI 2024
Enhancing Training of Spiking Neural Network with Stochastic Latency
AAAI 2024
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
AAAI 2024
Generator Assisted Mixture of Experts for Feature Acquisition in Batch
AAAI 2024
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
AAAI 2024
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration
AAAI 2024
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification
AAAI 2024
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
AAAI 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
AAAI 2024
Lyapunov-Stable Deep Equilibrium Models
AAAI 2024
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks
AAAI 2024
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