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Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

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Papers (including subtopics)

Joint Modeling of Visual Objects and Relations for Scene Graph Generation NIPS 2021
Distributed Deep Learning In Open Collaborations NIPS 2021
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks NIPS 2021
General Nonlinearities in SO(2)-Equivariant CNNs NIPS 2021
Pay Attention to MLPs NIPS 2021
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements NIPS 2021
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations NIPS 2021
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NIPS 2021
Deep Learning Through the Lens of Example Difficulty NIPS 2021
R-Drop: Regularized Dropout for Neural Networks NIPS 2021
Dynamic Inference with Neural Interpreters NIPS 2021
Dynamic Normalization and Relay for Video Action Recognition NIPS 2021
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications NIPS 2021
Controlling Neural Networks with Rule Representations NIPS 2021
Sparse Spiking Gradient Descent NIPS 2021
Residual Relaxation for Multi-view Representation Learning NIPS 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NIPS 2021
Glance-and-Gaze Vision Transformer NIPS 2021
Towards Stable and Robust AdderNets NIPS 2021
Learning Transferable Adversarial Perturbations NIPS 2021
Compressed Video Contrastive Learning NIPS 2021
Attention Bottlenecks for Multimodal Fusion NIPS 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation NIPS 2021
Improving Calibration through the Relationship with Adversarial Robustness NIPS 2021
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks NIPS 2021