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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)

DeepAnalyzer at SemEval-2019 Task 6: A deep learning-based ensemble method for identifying offensive tweets SEMEVAL 2019
Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification SEMEVAL 2019
HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo SEMEVAL 2019
Pardeep at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Deep Learning SEMEVAL 2019
TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks SEMEVAL 2019
YNUWB at SemEval-2019 Task 6: K-max pooling CNN with average meta-embedding for identifying offensive language SEMEVAL 2019
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network SEMEVAL 2019
The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4 SEMEVAL 2019
OleNet at SemEval-2019 Task 9: BERT based Multi-Perspective Models for Suggestion Mining SEMEVAL 2019
ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining SEMEVAL 2019
Towards a Better Understanding and Regularization of GAN Training Dynamics UAI 2019
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem UAI 2019
Probability Distillation: A Caveat and Alternatives UAI 2019
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks NIPS 2018
Recurrently Controlled Recurrent Networks NIPS 2018
SNIPER: Efficient Multi-Scale Training NIPS 2018
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks NIPS 2018
A Bridging Framework for Model Optimization and Deep Propagation NIPS 2018
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NIPS 2018
Spectral Signatures in Backdoor Attacks NIPS 2018
Attention in Convolutional LSTM for Gesture Recognition NIPS 2018
Modular Networks: Learning to Decompose Neural Computation NIPS 2018
Training Deep Neural Networks with 8-bit Floating Point Numbers NIPS 2018
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming NIPS 2018
Understanding Batch Normalization NIPS 2018