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Niki Parmar

11 papers · 2017–2021 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (27) πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver 🧭 Keyword Pioneer
πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (59)

Venues

NeurIPS (3) CVPR (2) ICML (2) ACL (1) EMNLP (1) Interspeech (1) NAACL (1)

Top co-authors

Ashish Vaswani (9) Noam Shazeer (6) Jakob Uszkoreit (4) LUKASZ KAISER (3) Blake Hechtman (2) Llion Jones (2) Jonathon Shlens (2) Aravind Srinivas (2) Prajit Ramachandran (2) Yonghui Wu (2)

Research topics

Deep Learning (9) Architectures (8) Machine Learning (7) Natural Language Processing (5) Applications (5) Computer Vision (4) Analysis (3) Application Areas (3) Optimization & Theory Β· Machine Learning (3) Core AI (2) Core Methods (2) Learning Types (2) Optimization & Theory Β· Deep Learning (2) Techniques (2) Artificial Intelligence (1)

Keywords

convolutional neural network (4) transformer architecture (3) object detection (3) image classification (3) neural machine translation (2) autoregressive model (2) attention mechanism (2) transformer model (2) instance segmentation (2) automatic speech recognition (1) parallel corpus (1) passage retrieval (1) transfer learning (1) grammatical error correction (1) self-attention mechanism (1) dense retrieval (1) distributed computing (1) model parallelism (1) computational efficiency (1) deep learning (1)

Papers

Bottleneck Transformers for Visual Recognition CVPR 2021 Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021 Simple and Efficient ways to Improve REALM EMNLP 2021 Conformer: Convolution-augmented Transformer for Speech Recognition Interspeech 2020 Corpora Generation for Grammatical Error Correction NAACL 2019 Stand-Alone Self-Attention in Vision Models NeurIPS 2019 Fast Decoding in Sequence Models Using Discrete Latent Variables ICML 2018 Image Transformer ICML 2018 Mesh-TensorFlow: Deep Learning for Supercomputers NeurIPS 2018 The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation ACL 2018 Attention is All you Need NeurIPS 2017