Gholamreza Haffari

Artificial Intelligence · 2007–2023

A researcher in the Science corpus: 18 papers; trusts 850 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 392 citations into it; #4,624 of 35,345 by trust here, #5,390 by citations
Natural Language Processing — 238 citations into it; #1,359 of 5,688 by trust here, #2,031 by citations
Computer Vision and Pattern Recognition — 174 citations into it; #9,458 of 21,575 by trust here, #8,722 by citations
Model Architectures — 58 citations into it; #1,551 of 2,278 by trust here, #1,940 by citations
Meta & Continual Learning — 40 citations into it
Representation & Self-Supervised Learning — 36 citations into it; #1,570 of 3,145 by trust here, #2,624 by citations
Molecular Biology — 29 citations into it; #4,534 of 17,773 by trust here, #3,066 by citations
Optimization & Training — 29 citations into it

Whom Gholamreza Haffari trusts overall

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

Who trusts Gholamreza Haffari overall

Papers from Gholamreza Haffari's perspective

Ordered by how strongly the researchers Gholamreza Haffari 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
Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models (2016) — 123 citations
Sequence to Sequence Mixture Model for Diverse Machine Translation (2018) — 58 citations
Graph-to-Sequence Learning using Gated Graph Neural Networks (2018) — 345 citations
Incorporating Side Information into Recurrent Neural Network Language Models (2016) — 35 citations
Iterative Back-Translation for Neural Machine Translation (2018) — 342 citations
Towards Decoding as Continuous Optimisation in Neural Machine Translation (2017) — 44 citations
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation (2018) — 61 citations
Semi-supervised model adaptation for statistical machine translation (2007) — 60 citations
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation (2016) — 52 citations
Few-Shot Semantic Parsing for New Predicates (2021) — 10 citations
Learning to Actively Learn Neural Machine Translation (2018) — 40 citations
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups (2012) — 5,719 citations
The clonal and mutational evolution spectrum of primary triple-negative breast cancers (2012) — 1,975 citations
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning (2023) — 535 citations
Pretrained Language Model in Continual Learning: A Comparative Study (2022) — 77 citations
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers (2021) — 16 citations
Context Dependent Semantic Parsing: A Survey (2020) — 22 citations
Transductive learning for statistical machine translation (2007) — 131 citations