Goran Glavas
Artificial Intelligence · 2012–2021
A researcher in the Science corpus: 14 papers; trusts 440 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 319 citations into it; #6,569 of 35,345 by trust here, #8,077 by citations
- Natural Language Processing — 269 citations into it; #1,784 of 5,688 by trust here, #1,779 by citations
- Representation & Self-Supervised Learning — 87 citations into it; #2,017 of 3,145 by trust here, #2,558 by citations
- Computer Vision and Pattern Recognition — 83 citations into it; #18,007 of 21,575 by trust here, #15,529 by citations
- Safety, Robustness & Interpretability — 61 citations into it; #685 of 2,251 by trust here, #1,186 by citations
- Evaluation & Benchmarks — 49 citations into it
- Large Language Models — 37 citations into it
- Model Architectures — 19 citations into it
Whom Goran Glavas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Tomas Mikolov
- Ilya Sutskever
- Alex Krizhevsky
- Jacob Devlin
- Alexis Conneau
- Jimmy Ba
- Christopher D. Manning
Who trusts Goran Glavas overall
- Anne Lauscher
- Ivan Vulic
- Jonas Pfeiffer
- Sunipa Dev
- Phillip Rust
- Amanda Cercas Curry
- Endang Wahyu Pamungkas
- Rujun Han
- Seraphina Goldfarb-Tarrant
- Aliaksei Severyn
Papers from Goran Glavas's perspective
Ordered by how strongly the researchers Goran Glavas trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers (2020) — 363 citations
- RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models (2021) — 225 citations
- Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors (2019) — 58 citations
- Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer (2020) — 28 citations
- MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer (2021) — 99 citations
- Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation (2020) — 73 citations
- XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages (2020) — 69 citations
- Probing Pretrained Language Models for Lexical Semantics (2020) — 286 citations
- AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings (2020) — 33 citations
- A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces (2019) — 69 citations
- Informing Unsupervised Pretraining with External Linguistic Knowledge (2019) — 41 citations
- HiEve: A Corpus for Extracting Event Hierarchies from News Stories (2014) — 65 citations
- Aspect-Oriented Opinion Mining from User Reviews in Croatian (2013) — 7 citations
- TakeLab: Systems for Measuring Semantic Text Similarity (2012) — 241 citations