10 citations · 17 across the 3 of their papers we have counts for
4 papers
Quantum Semi-Supervised Kernel Learning
Seyran Saeedi, Aliakbar Panahi, Tom Arodz
Quantum computing leverages quantum effects to build algorithms that are faster then their classical variants. In machine learning, for a given model architecture, the speed of tra…
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task
Sirwe Saeedi, Aliakbar Panahi, Seyran Saeedi +1
In this paper, we investigate a commonsense inference task that unifies natural language understanding and commonsense reasoning. We describe our attempt at SemEval-2020 Task 4 com…
word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
Aliakbar Panahi, Seyran Saeedi, Tom Arodz
Deep learning natural language processing models often use vector word embeddings, such as word2vec or GloVe, to represent words. A discrete sequence of words can be much more easi…
Differentiable Combinatorial Losses through Generalized Gradients of Linear Programs
Xi Gao, Han Zhang, Aliakbar Panahi +1
When samples have internal structure, we often see a mismatch between the objective optimized during training and the model's goal during inference. For example, in sequence-to-seq…