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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
LUL’s WMT22 Automatic Post-Editing Shared Task Submission
EMNLP 2022
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
ICML 2022
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
ICML 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
ICML 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
ICML 2022
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers
ICML 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
ICML 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
ICML 2022
Variational Feature Pyramid Networks
ICML 2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
ICML 2022
An Intriguing Property of Geophysics Inversion
ICML 2022
SPDY: Accurate Pruning with Speedup Guarantees
ICML 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
ICML 2022
Secure Distributed Training at Scale
ICML 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
ICML 2022
Conditional GANs with Auxiliary Discriminative Classifier
ICML 2022
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
ICML 2022
Training Your Sparse Neural Network Better with Any Mask
ICML 2022
Domain Adaptation for Time Series Forecasting via Attention Sharing
ICML 2022
Robust Training of Neural Networks Using Scale Invariant Architectures
ICML 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
ICML 2022
GACT: Activation Compressed Training for Generic Network Architectures
ICML 2022
Feature Learning and Signal Propagation in Deep Neural Networks
ICML 2022
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
ICML 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
ICML 2022
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