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08/29/2023
On-Device Learning with Binary Neural Networks
Existing Continual Learning (CL) solutions only partially address the co...
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08/02/2023
Arithmetic with Language Models: from Memorization to Computation
A better understanding of the emergent computation and problem-solving c...
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07/27/2023
Detecting Morphing Attacks via Continual Incremental Training
Scenarios in which restrictions in data transfer and storage limit the p...
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05/04/2023
Input Layer Binarization with Bit-Plane Encoding
Binary Neural Networks (BNNs) use 1-bit weights and activations to effic...
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03/01/2023
Region Prediction for Efficient Robot Localization on Large Maps
Recognizing already explored places (a.k.a. place recognition) is a fund...
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01/09/2023
On the challenges to learn from Natural Data Streams
In real-world contexts, sometimes data are available in form of Natural ...
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01/06/2023
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning
In recent years we have witnessed a renewed interest in machine learning...
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04/28/2022
Morphing Attack Potential
In security systems the risk assessment in the sense of common criteria ...
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04/12/2022
Generative Negative Replay for Continual Learning
Learning continually is a key aspect of intelligence and a necessary abi...
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12/06/2021
Is Class-Incremental Enough for Continual Learning?
The ability of a model to learn continually can be empirically assessed ...
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05/24/2021
Continual Learning at the Edge: Real-Time Training on Smartphone Devices
On-device training for personalized learning is a challenging research p...
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09/14/2020
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
In the last few years, we have witnessed a renewed and fast-growing inte...
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07/22/2020
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node
AI-powered edge devices currently lack the ability to adapt their embedd...
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06/11/2020
Morphing Attack Detection – Database, Evaluation Platform and Benchmarking
Morphing attacks have posed a severe threat to Face Recognition System (...
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04/26/2020
IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...
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12/02/2019
Latent Replay for Real-Time Continual Learning
Training deep networks on light computational devices is nowadays very c...
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07/08/2019
Fine-Grained Continual Learning
Robotic vision is a field where continual learning can play a significan...
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06/29/2019
Continual Learning for Robotics
Continual learning (CL) is a particular machine learning paradigm where ...
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05/24/2019
Continual Reinforcement Learning in 3D Non-stationary Environments
High-dimensional always-changing environments constitute a hard challeng...
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01/25/2019
Face morphing detection in the presence of printing/scanning and heterogeneous image sources
Face morphing represents nowadays a big security threat in the context o...
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10/31/2018
Don't forget, there is more than forgetting: new metrics for Continual Learning
Continual learning consists of algorithms that learn from a stream of da...
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06/22/2018
Continuous Learning in Single-Incremental-Task Scenarios
It was recently shown that architectural, regularization and rehearsal s...
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05/09/2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Continuous/Lifelong learning of high-dimensional data streams is a chall...
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11/10/2015