From the 2 of 3.4k papers with an AI index.
29.3k citations
- Centre National de la Recherche ScientifiqueFR717 papers
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- Institute for High Energy PhysicsES349 papers
- Université Paris CitéFR348 papers
- Aix-Marseille UniversitéFR347 papers
- University of OxfordGB341 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT332 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT327 papers
- University of CambridgeGB325 papers
- Université Paris-SaclayFR323 papers
- University of ZurichCH321 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR318 papers
233 papers · 1 filter
DeepSphere: a graph-based spherical CNN
Michaël Defferrard, Martino Milani, Frédérick Gusset +1
Designing a convolution for a spherical neural network requires a delicate tradeoff between efficiency and rotation equivariance. DeepSphere, a method based on a graph representati…
The interplay of Dzyaloshinskii-Moriya and Kitaev interactions for magnonic properties of Heisenberg-Kitaev honeycomb ferromagnets
Li-Chuan Zhang, Fengfeng Zhu, Dongwook Go +6
The properties of Kitaev materials are attracting ever increasing attention owing to their exotic properties. In realistic two-dimensional materials, Kitaev interaction is often ac…
QUACKIE: A NLP Classification Task With Ground Truth Explanations
Yves Rychener, Xavier Renard, Djamé Seddah +2
NLP Interpretability aims to increase trust in model predictions. This makes evaluating interpretability approaches a pressing issue. There are multiple datasets for evaluating NLP…
Fine-grained Emotion and Intent Learning in Movie Dialogues
Anuradha Welivita, Yubo Xie, Pearl Pu
We propose a novel large-scale emotional dialogue dataset, consisting of 1M dialogues retrieved from the OpenSubtitles corpus and annotated with 32 emotions and 9 empathetic respon…
Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms
Gael Lederrey, Virginie Lurkin, Tim Hillel +1
The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of da…
Fast and Accurate -means++ via Rejection Sampling
Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard +2
-means++ \cite{arthur2007k} is a widely used clustering algorithm that is easy to implement, has nice theoretical guarantees and strong empirical performance. Despite its wide a…