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Adversarial Permutation Invariant Training for Universal Sound Separation
Universal sound separation consists of separating mixes with arbitrary sounds of different types, and permutation invariant training …
Emilian Postolache
,
Jordi Pons
,
Santiago Pascual
,
Joan Serrà
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URL
arXiv
Accelerating Transformer Inference for Translation via Parallel Decoding
Autoregressive decoding limits the efficiency of transformers for Machine Translation (MT). The community proposed specific network …
Andrea Santilli
,
Silvio Severino
,
Emilian Postolache
,
Valentino Maiorca
,
Michele Mancusi
,
Riccardo Marin
,
Emanuele Rodolà
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arXiv
GitHub
Multimodal Neural Databases
The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them. …
Giovanni Trappolini
,
Andrea Santilli
,
Emanuele Rodolà
,
Alon Halevy
,
Fabrizio Silvestri
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arXiv
Relative representations enable zero-shot latent space communication
Neural networks embed the geometric structure of a data manifold lying in a high-dimensional space into latent representations. …
Luca Moschella
,
Valentino Maiorca
,
Marco Fumero
,
Antonio Norelli
,
Francesco Locatello
,
Emanuele Rodolà
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URL
GitHub
Slides
ICLR 2023 notable top 5%
Latent Autoregressive Source Separation
Autoregressive models have achieved impressive results over a wide range of domains in terms of generation quality and downstream task …
Emilian Postolache
,
Giorgio Mariani
,
Michele Mancusi
,
Andrea Santilli
,
Luca Cosmo
,
Emanuele Rodolà
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arXiv
GitHub
Metric Based Few-Shot Graph Classification
Few-shot graph classification is a novel yet promising emerging research field that still lacks the soundness of well-established …
Donato Crisostomi
,
Simone Antonelli
,
Valentino Maiorca
,
Luca Moschella
,
Riccardo Marin
,
Emanuele Rodolà
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URL
PDF
GitHub
Play música alegre: A Large-Scale Empirical Analysis of Cross-Lingual Phenomena in Voice Assistant Interactions
Cross-lingual phenomena are quite common in informal contexts like social media, where users are likely to mix their native language …
Donato Crisostomi
,
Alessandro Manzotti
,
Enrico Palumbo
,
Davide Bernardi
,
Sarah Campbell
,
Shubham Garg
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URL
3D Human Pose Estimation Using Möbius Graph Convolutional Networks
3D human pose estimation is fundamental to understanding human behavior. Recently, promising results have been achieved by graph …
Niloofar Azizi
,
Horst Possegger
,
Emanuele Rodolà
,
Horst Bischof
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URL
PDF
CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation
Generating shapes using natural language can enable new ways of imagining and creating the things around us. While significant recent …
Aditya Sanghi
,
Hang Chu
,
Joseph G. Lambourne
,
Ye Wang
,
Chin-Yi Cheng
,
Marco Fumero
,
Kamal Rahimi Malekshan
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GIM3D: A 3D Dataset for Garment Segmentation
The 3D cloth segmentation task is particularly challenging due to the extreme variation of shapes, even among the same category of …
Pietro Musoni
,
Simone Melzi
,
Umberto Castellani
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PDF
GitHub
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