3.7k citations
- Technion – Israel Institute of TechnologyIL6 papers
- Intel (United States)US5 papers
- Tel Aviv UniversityIL5 papers
- Università della Svizzera italianaCH5 papers
- Bar-Ilan UniversityIL2 papers
- New York UniversityUS2 papers
- University of HaifaIL2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Courant Institute of Mathematical SciencesUS1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Indian Institute of Technology KharagpurIN1 paper
- Indian Statistical InstituteIN1 paper
18 papers
CONFIDE: Contextual Finite Differences Modelling of PDEs
Ori Linial, Orly Avner, Dotan Di Castro
We introduce a method for inferring an explicit PDE from a data sample generated by previously unseen dynamics, based on a learned context. The training phase integrates knowledge…
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs
Phillip Howard, Arden Ma, Vasudev Lal +5
The extraction of aspect terms is a critical step in fine-grained sentiment analysis of text. Existing approaches for this task have yielded impressive results when the training an…
Non-Rigid Puzzles
Or Litany, Emanuele Rodolà, Alex Bronstein +2
Shape correspondence is a fundamental problem in computer graphics and vision, with applications in various problems including animation, texture mapping, robotic vision, medical i…
Towards Secure Composition of Integrated Circuits and Electronic Systems: On the Role of EDA
Johann Knechtel, Elif Bilge Kavun, Francesco Regazzoni +10
Modern electronic systems become evermore complex, yet remain modular, with integrated circuits (ICs) acting as versatile hardware components at their heart. Electronic design auto…
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain
Barak Battash, Haim Barad, Hanlin Tang +1
Video understanding usually requires expensive computation that prohibits its deployment, yet videos contain significant spatiotemporal redundancy that can be exploited. In particu…
Q8BERT: Quantized 8Bit BERT
Ofir Zafrir, Guy Boudoukh, Peter Izsak +1
Recently, pre-trained Transformer based language models such as BERT and GPT, have shown great improvement in many Natural Language Processing (NLP) tasks. However, these models co…