Lovekesh Vig

Artificial Intelligence · 2006–2022

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it; #7,815 of 35,345 by trust here, #11,750 by citations
• Computer Vision and Pattern Recognition — 23 citations into it
• Meta & Continual Learning — 19 citations into it
• Model Architectures — 7 citations into it
• Reinforcement Learning — 6 citations into it

Whom Lovekesh Vig trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alexander Schrijver
2. Richard S. Sutton
3. Brian P. Gerkey
4. Andrew Barto
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Sepp Hochreiter
8. Maja J. Mataric
9. J. Urgen Schmidhuber
10. Yoshua Bengio

Who trusts Lovekesh Vig overall

1. Lynne E. Parker
2. Tolga Ergen
3. Sebastian Schmidl
4. Mikel Canizo
5. Andrew Cook
6. Daehyung Park
7. Mohsin Munir
8. John Cristian Borges Gamboa
9. Suleyman Serdar Kozat
10. Phillip Wenig

Papers from Lovekesh Vig's perspective

Ordered by how strongly the researchers Lovekesh Vig trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection (2016) — 1,222 citations
• Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection (2022) — 17 citations
• Anomaly detection in ECG time signals via deep long short-term memory networks (2015) — 391 citations
• Long Short Term Memory Networks for Anomaly Detection in Time Series (2015) — 1,566 citations
• Multi-robot coalition formation (2006) — 305 citations