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Transformers

10,397 papers

Papers per year

6
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Papers

MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding WACV 2020
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention WACV 2020
Neural Sign Language Synthesis: Words Are Our Glosses WACV 2020
LEAF-QA: Locate, Encode & Attend for Figure Question Answering WACV 2020
Deep Equilibrium Models NIPS 2019
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism NIPS 2019
Visualizing and Measuring the Geometry of BERT NIPS 2019
Controllable Text-to-Image Generation NIPS 2019
Are Sixteen Heads Really Better than One? NIPS 2019
Stand-Alone Self-Attention in Vision Models NIPS 2019
Mixtape: Breaking the Softmax Bottleneck Efficiently NIPS 2019
Levenshtein Transformer NIPS 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting NIPS 2019
Novel positional encodings to enable tree-based transformers NIPS 2019
Variational Structured Semantic Inference for Diverse Image Captioning NIPS 2019
Graph Transformer Networks NIPS 2019
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification NIPS 2019
Geometry-Aware Neural Rendering NIPS 2019
Self-attention with Functional Time Representation Learning NIPS 2019
Efficient Graph Generation with Graph Recurrent Attention Networks NIPS 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding NIPS 2019
A Tensorized Transformer for Language Modeling NIPS 2019
DppNet: Approximating Determinantal Point Processes with Deep Networks NIPS 2019
FastSpeech: Fast, Robust and Controllable Text to Speech NIPS 2019
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement AAAI 2019