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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)

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point NIPS 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NIPS 2020
Non-Euclidean Universal Approximation NIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NIPS 2020
JAX MD: A Framework for Differentiable Physics NIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices NIPS 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift NIPS 2020
Neural Architecture Generator Optimization NIPS 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NIPS 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations NIPS 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NIPS 2020
Multi-Stage Influence Function NIPS 2020
Is normalization indispensable for training deep neural network? NIPS 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NIPS 2020
Evolving Normalization-Activation Layers NIPS 2020
Smoothed Geometry for Robust Attribution NIPS 2020
RANet: Region Attention Network for Semantic Segmentation NIPS 2020
Directional Pruning of Deep Neural Networks NIPS 2020
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NIPS 2020
Graph Cross Networks with Vertex Infomax Pooling NIPS 2020
Rational neural networks NIPS 2020
Task-Oriented Feature Distillation NIPS 2020
AdaTune: Adaptive Tensor Program Compilation Made Efficient NIPS 2020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization NIPS 2020
PLLay: Efficient Topological Layer based on Persistent Landscapes NIPS 2020