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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

4
30
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Papers (including subtopics)

Dynamic Game Theoretic Neural Optimizer ICML 2021
Selfish Sparse RNN Training ICML 2021
How Do Adam and Training Strategies Help BNNs Optimization ICML 2021
Group Fisher Pruning for Practical Network Compression ICML 2021
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. ICML 2021
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels ICML 2021
Neural Architecture Search without Training ICML 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation ICML 2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search ICML 2021
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021
How could Neural Networks understand Programs? ICML 2021
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021
Principled Simplicial Neural Networks for Trajectory Prediction ICML 2021
On the Predictability of Pruning Across Scales ICML 2021
Momentum Residual Neural Networks ICML 2021
E(n) Equivariant Graph Neural Networks ICML 2021
SparseBERT: Rethinking the Importance Analysis in Self-attention ICML 2021
Nondeterminism and Instability in Neural Network Optimization ICML 2021
Synthesizer: Rethinking Self-Attention for Transformer Models ICML 2021
PixelTransformer: Sample Conditioned Signal Generation ICML 2021
Sparsifying Networks via Subdifferential Inclusion ICML 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence ICML 2021
Evolving Attention with Residual Convolutions ICML 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks ICML 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning ICML 2021