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| Iterative alternating least-aquares approach to jointly estimate the RETFs and the diffuse PSD, , and , in: Proc. ITG conference on Speech Communication, Oldenburg, Germany, 2018 |
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| On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning, , , and , in: Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021 |
| Small Variance Asymptotics for Non-Parametric Online Robot Learning, and , in: International Journal of Robotics Research (IJRR), 38(1):3-22, 2019 |
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| Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models, , , , , , , and , in: 13th Intl Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018 |
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| Sequential Robot Imitation Learning from Observations, , , , and , in: International Journal of Robotics Research (IJRR), 2021 |
| Generative Models for Learning Robot Manipulation Skills from Humans, , Ecole Polytechnique Federale de Lausanne, 2018 |
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| Transfer in Inverse Reinforcement Learning for Multiple Strategies, and , in: IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, pages 3244-3250, IEEE, 2013 |
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| A Generative Model for Intention Recognition and Manipulation Assistance in Teleoperation, and , in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017 |
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| Online Inference in Bayesian Non-Parametric Mixture Models under Small Variance Asymptotics, and , in: NIPS workshop on Advances in Approximate Bayesian Inference, Barcelona, Spain, pages 1-5, 2016 |
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| Learning Robot Manipulation Tasks with Task-Parameterized Semi-Tied Hidden Semi-Markov Model, and , in: IEEE Robotics and Automation Letters, 1(1):235-242, 2016 |
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| Rewards-driven control of robot arm by decoding EEG signals, , and , in: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, pages 1658-1661, IEEE, 2014 |
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| Self-attention for Speech Emotion Recognition, , and , in: Proc. Interspeech 2019, 2019 |
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| CONTENT-BASED OBJECTIVE EVALUATION OF ARTIFICIALLY GENERATED SIGN LANGUAGE VIDEOS, , , , , and , in: ICASSP, 2024 |
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| Posterior-based analysis of spatio-temporal features for Sign Language Assessment, , , , and , Idiap-RR-11-2024 |
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| Towards Accessible Sign Language Learning and Assessment, , , and , in: ACM International Conference on Multimodal Interaction, Bangalore, INDIA, pages 626-631, 2022 |
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| Time-Sensitive Topic Models for Action Recognition in Videos, , and , in: IEEE International Conference on Image Processing, 2013 |
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| Investigating time-sensitive topic model approaches for action recognition, , and , Idiap-RR-26-2013 |
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| What do individuals with visual impairment need and want from a dialogue-based digital assistant?, , , , and , in: Clinical and Experimental Optometry, 2023 |
| What Your Face Vlogs About: Expressions of Emotion and Big-Five Traits Impressions in YouTube, , , and , in: IEEE Transactions Affective Computing, 2014 |
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| Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization, , , and , in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 |
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| Predicting is not understanding: Recognizing and addressing underspecification in machine learning, , and , in: European Conference on Computer Vision, pages 458-476, Springer, 2022 |
| Unshuffling data for improved generalization in visual question answering, , and , in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 |
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| ID and OOD performance are sometimes inversely correlated on real-world datasets, , , and , in: Advances in Neural Information Processing Systems (NeurIPS), 2023 |
| Neural Redshift: Random Networks are not Random Functions, , , and , in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 |
| Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup, , and , in: International Conference on Machine Learning (ICML), 2024 |
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| A CASA front-end using the localisation cue for segregation and then cocktail-party speech recognition, , , and , in: Proc. IEEE Int. Conference on Speech Processing (ICSP), IEEE, 1999 |
| A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, , and , in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024 |
| Explainable Inference Over Grounding-Abstract Chains for Science Questions, , and , in: 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2021 |
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| Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-Hop Inference, , , , and , in: Transactions of the Association for Computational Linguistics, 2022 |
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| A Comparative Study Of Simulation Tools To Model The Solar Irradiation On Building Façades, , , , , , , , , , , , , , , and , in: Proceedings of SWC 2021: ISES Solar World Congress, ISES, 2021 |
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| Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning, , , and , in: Proceedings of the 25th Conference on Computational Natural Language Learning, Online, pages 337-348, Association for Computational Linguistics, 2021 |
| Segmentation of X-ray Image Sequences Showing the Vocal Tract, , Idiap-RR-01-1999 |
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| Segmentation of X-ray Image Sequences Showing the Vocal Tract (with tool documentation), , Idiap-RR-01-1999 |
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| Tracking Articulators in X-ray Movies of the Vocal Tract, , in: 8th Int. Conf. Computer Analysis of Images and Patterns, Springer Verlag, 1999 |
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| Calendar of meetings (several issues), , in: Neurocomputing, 1997 |
| Optimization of high order perceptrons, , École Polytechnique Fédérale de Lausanne, 1997 |
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| Evaluating the Complexity of Databases for Person Identification and Verification, , and , in: 8th Int. Conf. Computer Analysis of Images and Patterns, Springer Verlag, 1999 |
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| Evaluating the Complexity of Databases for Person Identification and Verification, , and , Idiap-RR-10-1998 |
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| High Order and Multilayer Perceptron Initialization, and , in: IEEE Transactions on Neural Networks, 8(02), 1997 |
| Optimal Setting of Weights, Learning Rate, and Gain, and , Idiap-RR-04-1997 |
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| Pruning of Neural Networks, and , Idiap-RR-03-1997 |
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| Two neural network construction methods, and , in: Neural Processing Letters, 6(01), 1997 |
| A Boolean Approach to Construct Neural Networks for Non-Boolean Problems, and , in: Proceedings of the 8th IEEE International Conference on Tools with Artificial Intelligence, IEEE, 1996 |
| Evaluating pruning methods, and , in: 1995 International Symposium on Artificial Neural Networks (ISANN'95), 1995 |
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| High Order and Multilayer Perceptron Initialization, and , Idiap-RR-07-1994 |
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| Weight Initialization for High Order and Multilayer Perceptrons, and , in: Proceedings of the '94 SIPAR--Workshop on Parallel and Distributed Computing, SI Group for Parallel Systems, 1994 |
| Neural Network Pruning and Pruning Parameters, and , in: The 1st Workshop on Soft Computing, Dept. of Information Electronics Nagoya University, 1996 |
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| Neural Network Initialization, and , in: From Natural to Artificial Neural Computation, Springer Verlag, 1995 |
| Gain Elimination form Backpropagation Neural Networks, , and , in: Proceedings of the International Conference on Neural Networks, IEEE, Perth, IEEE, 1995 |
| Modular Object-Oriented Neural Network Simulators and Topology Generalizations, , and , in: Proceedings of the International Conference on Artificial Neural Networks (ICANN 94), Sorrento, Italy, Springer-Verlag, 1994 |
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