Eugene Ie
Artificial Intelligence · 2004–2021
A researcher in the Science corpus: 12 papers; trusts 445 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 194 citations into it; #16,494 of 35,345 by trust here, #9,092 by citations
- Computer Vision and Pattern Recognition — 139 citations into it; #10,484 of 21,575 by trust here, #8,021 by citations
- Natural Language Processing — 97 citations into it; #4,328 of 5,688 by trust here, #3,529 by citations
- Reinforcement Learning — 59 citations into it
- Multimodal Learning — 49 citations into it; #745 of 1,211 by trust here, #790 by citations
- Evaluation & Benchmarks — 33 citations into it
- Management Science and Operations Research — 26 citations into it
- Representation & Self-Supervised Learning — 19 citations into it
Whom Eugene Ie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Kaiming He
- Oriol Vinyals
- Ruslan Salakhutdinov
- Yann LeCun
- Ilya Sutskever
- Radford M. Neal
Who trusts Eugene Ie overall
- Ayush Jain
- Michael Heinzinger
- Mingde Zhao
- Martin Mladenov
- Jialu Li
- Vihan Jain
- Hanjun Dai
- Sepp Hochreiter
Papers from Eugene Ie's perspective
Ordered by how strongly the researchers Eugene Ie trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding (2020) — 543 citations
- Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation (2019) — 231 citations
- Transferable Representation Learning in Vision-and-Language Navigation (2019) — 95 citations
- Learning Dense Representations for Entity Retrieval (2019) — 230 citations
- RecSim: A Configurable Simulation Platform for Recommender Systems (2019) — 215 citations
- VALAN: Vision and Language Agent Navigation (2019) — 8 citations
- Profile-based string kernels for remote homology detection and motif extraction. (2005) — 60 citations
- On the Evaluation of Vision-and-Language Navigation Instructions (2021) — 62 citations
- Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation (2020) — 21 citations
- Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View (2020) — 29 citations
- Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping (2019) — 26 citations
- Profile-based string kernels for remote homology detection and motif extraction (2004) — 230 citations