Aram Galstyan
Artificial Intelligence · 2004–2023
A researcher in the Science corpus: 28 papers; trusts 723 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 446 citations into it; #4,721 of 35,345 by trust here, #2,668 by citations
- Natural Language Processing — 154 citations into it; #4,426 of 5,688 by trust here, #2,808 by citations
- Safety, Robustness & Interpretability — 149 citations into it; #1,498 of 2,251 by trust here, #411 by citations
- Computer Vision and Pattern Recognition — 141 citations into it; #15,742 of 21,575 by trust here, #12,689 by citations
- Representation & Self-Supervised Learning — 86 citations into it; #3,022 of 3,145 by trust here, #2,404 by citations
- Statistical and Nonlinear Physics — 86 citations into it
- AI Ethics, Fairness & Society — 82 citations into it
- Safety Research — 72 citations into it; #4,916 of 5,829 by trust here, #430 by citations
Whom Aram Galstyan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Michael I. Jordan
- J. Urgen Schmidhuber
- Radford M. Neal
Who trusts Aram Galstyan overall
- Eduardo Rodrigues Gomes
- Fei Ye
- Dayong Ye
- Enda Barrett
- Ninareh Mehrabi
- Serban Stan
- Adar Elad
- T. Chen
- Ryszard Kowalczyk
- Weihao Gao
Papers from Aram Galstyan's perspective
Ordered by how strongly the researchers Aram Galstyan 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A Survey on Bias and Fairness in Machine Learning (2019) — 6,091 citations
- Invariant Representations without Adversarial Training (2018) — 250 citations
- Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings (2019) — 91 citations
- Multitask learning and benchmarking with clinical time series data (2017) — 1,081 citations
- On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations (2022) — 112 citations
- ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data (2020) — 60 citations
- Variational Information Maximization for Feature Selection (2016) — 53 citations
- Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources (2021) — 47 citations
- “I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation (2023) — 99 citations
- Improving Generalization by Controlling Label-Noise Information in Neural Network Weights (2020) — 61 citations
- The DARPA Twitter Bot Challenge (2016) — 408 citations
- Distributed online localization in sensor networks using a moving target (2004) — 296 citations
- Resource allocation in the grid using reinforcement learning (2004) — 135 citations
- Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition (2019) — 62 citations
- Deep Structured Neural Network for Event Temporal Relation Extraction (2019) — 69 citations
- Analysis of Dynamic Task Allocation in Multi-Robot Systems (2006) — 302 citations
- DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations (2022) — 45 citations
- Robust Conversational Agents against Imperceptible Toxicity Triggers (2022) — 39 citations
- Attributing Fair Decisions with Attention Interventions (2021) — 23 citations
- Sequential Unsupervised Domain Adaptation through Prototypical Distributions (2020) — 7 citations