#mlsp2020 search results
IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 takes place online Sep 21–24. Registration is **free of charge** and closes Sep 13. Full program and registration: ieeemlsp.cc
Wow!! #MLSP2020 notifications are out and we got an acceptance in our workshop paper “Multinomial Sampling for Hierarchical Change-Point Detection”.
First call for papers: The 30th IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 will be in Finland in one year. Mark your calendars. Prospective authors are invited to submit papers next spring. See full announcement here: users.aalto.fi/~asolin/mlsp/2…
Michael Unser - Splines and Machine Learning: From classical RKHS methods to deep neural nets #MLSP2020
Call for papers: The 30th IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 (ieeemlsp.cc). Authors are invited to submit papers on relevant algorithms and applications: ieeemlsp.cc/call-for-paper… (submission DL May 3)
The #MLSP2020 Best Student Paper Award winners are now on the conference web site ieeemlsp.cc/awards/. Congratulations to the winners!
Introducing AutoClip: a "set-and-forget" method for gradient clipping. Track grad norms, find the pth percentile, and that's your clipping value. #MLSP2020 Paper: arxiv.org/abs/2007.14469 Code: github.com/pseeth/autoclip w/ Gordon Wichern, Bryan Pardo, and @JonathanLeRoux 1/3
First day of #MLSP2020 with first lecture session streaming over Zoom. My home studio is all set. Looking forward to many presentations: ieeemlsp.cc/full-program/
Felicia Ruppel at #MLSP2020 on pseudo-Huber loss funcs (quadratic near 0, linear away from 0) replacing Frobenius norm for [noise/outlier] robust matrix completion github.com/FeliciaRu/robu… 📄 Globally optimal robust matrix completion based on M-estimation researchgate.net/profile/Michae…
Upcoming presentations by #OpenDR researchers next week at #MMSP2020 and #MLSP2020 ! ✔Don't forget to visit our website: opendr.eu #machinelearning #ai #artificialintelligence #deeplearning #futuretechnology #researchers #new #europe #robotics #toolkit #robots
This week, the 30th Intl Workshop on Machine Learning for Signal Processing #MLSP2020 takes place at the @AaltoUniversity campus in #Espoo with a fully virtual 4-day programme: keynotes, tutorials & matchmaking events. @IEEEsps @visitespoo #meetespoo ieeemlsp.cc
“SUccessive DOwnsampling and Resampling of Multi-Resolution Features” (SuDoRMRF) convolutional net! Efficient NN for E2E general purpose audio source separation, presented at #MLSP2020 (U. Illinois & Adobe) arxiv.org/abs/2007.06833 Similar to ConvTasNet (arxiv.org/abs/1809.07454)
Today at 4.15 p.m. CEST, OpenDR researcher Maria Tzelepi will be presenting the paper "Quadratic mutual information regularization in real-time deep CNN models" at #MLSP2020 !
Congrats to @AlexanderTong7 on winning a best student paper award at #MLSP2020! Awesome work on anomaly detection using a discriminator! arxiv.org/abs/1905.10710
The #MLSP2020 Best Student Paper Award winners are now on the conference web site ieeemlsp.cc/awards/. Congratulations to the winners!
Yale researchers @AlexanderTong7, Guy Wolf & Smita Krishnaswamy won the #MLSP2020 best student research paper. The paper can identify "what kinds of anomalies current methods can detect well and what kinds they might miss". arxiv.org/pdf/1905.10710…
"Quadratic Mutual Information Regularization In Real-Time Deep CNN Models" is the #new paper by #OpenDR researchers that was presented at #MLSP2020 ! 📜Paper: opendr.eu/wp-content/upl… ✔Watch the video: youtube.com/watch?v=AtMf1y… #AI #Robotics #research #DeepLearning #Robots
Recommendation to watch: @avehtari‘s tutorial about probabilistic programming framework Stan available at youtu.be/i3bsPqQFqP0 #MLSP2020 @mcmc_stan
“SUccessive DOwnsampling and Resampling of Multi-Resolution Features” (SuDoRMRF) convolutional net! Efficient NN for E2E general purpose audio source separation, presented at #MLSP2020 (U. Illinois & Adobe) arxiv.org/abs/2007.06833 Similar to ConvTasNet (arxiv.org/abs/1809.07454)
Congrats to @AlexanderTong7 on winning a best student paper award at #MLSP2020! Awesome work on anomaly detection using a discriminator! arxiv.org/abs/1905.10710
The #MLSP2020 Best Student Paper Award winners are now on the conference web site ieeemlsp.cc/awards/. Congratulations to the winners!
The #MLSP2020 Best Student Paper Award winners are now on the conference web site ieeemlsp.cc/awards/. Congratulations to the winners!
Felicia Ruppel at #MLSP2020 on pseudo-Huber loss funcs (quadratic near 0, linear away from 0) replacing Frobenius norm for [noise/outlier] robust matrix completion github.com/FeliciaRu/robu… 📄 Globally optimal robust matrix completion based on M-estimation researchgate.net/profile/Michae…
Razvan Pascanu (keynote at #MLSP2020) on sparsified neural nets: "I'm fairly convinced that model size is needed mostly to make learning easy and not a requirement to encode the solution to the problem." He references the "lottery ticket hypothesis" arxiv.org/abs/1803.03635
Paul @edchangy will be presenting "Fast variational learning in state-space Gaussian process models" at #MLSP2020 today. Joint work with @wil_j_wil and @EmtiyazKhan. Paper: arxiv.org/abs/2007.04731 Video: youtu.be/aZwq6XSAtpo Code: github.com/AaltoML/kalman…
github.com
GitHub - AaltoML/kalman-jax: Approximate inference for Markov Gaussian processes using iterated...
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX - AaltoML/kalman-jax
Today at 4.15 p.m. CEST, OpenDR researcher Maria Tzelepi will be presenting the paper "Quadratic mutual information regularization in real-time deep CNN models" at #MLSP2020 !
This week, the 30th Intl Workshop on Machine Learning for Signal Processing #MLSP2020 takes place at the @AaltoUniversity campus in #Espoo with a fully virtual 4-day programme: keynotes, tutorials & matchmaking events. @IEEEsps @visitespoo #meetespoo ieeemlsp.cc
Presenting AutoClip at #MLSP2020 this week, in this session: ieeemlsp.cc/tuesday-septem…! Our lecture video for AutoClip can also be viewed here: youtube.com/watch?v=Rc0AN_…. Or in the MLSP virtual platform: mlsp-virtual.org/presentation/s….
youtube.com
YouTube
Autoclip: Adaptive gradient clipping for source separation networks
Introducing AutoClip: a "set-and-forget" method for gradient clipping. Track grad norms, find the pth percentile, and that's your clipping value. #MLSP2020 Paper: arxiv.org/abs/2007.14469 Code: github.com/pseeth/autoclip w/ Gordon Wichern, Bryan Pardo, and @JonathanLeRoux 1/3
First day of #MLSP2020 with first lecture session streaming over Zoom. My home studio is all set. Looking forward to many presentations: ieeemlsp.cc/full-program/
Nice keynote this morning by Michael Unser (EPFL Lausanne) on the connections between splines and DNNs with ReLU activations (via Banach duality) - great start to #MLSP2020 (always one of my favourite events) @IEEEsps #MachineLearning #SignalProcessing
Michael Unser - Splines and Machine Learning: From classical RKHS methods to deep neural nets #MLSP2020
This week, the 30th Intl Workshop on Machine Learning for Signal Processing #MLSP2020 takes place at the @AaltoUniversity campus in #Espoo with a fully virtual 4-day programme: keynotes, tutorials & matchmaking events. @IEEEsps @visitespoo #meetespoo ieeemlsp.cc
Michael Unser - Splines and Machine Learning: From classical RKHS methods to deep neural nets #MLSP2020
Wow!! #MLSP2020 notifications are out and we got an acceptance in our workshop paper “Multinomial Sampling for Hierarchical Change-Point Detection”.
Introducing AutoClip: a "set-and-forget" method for gradient clipping. Track grad norms, find the pth percentile, and that's your clipping value. #MLSP2020 Paper: arxiv.org/abs/2007.14469 Code: github.com/pseeth/autoclip w/ Gordon Wichern, Bryan Pardo, and @JonathanLeRoux 1/3
Upcoming presentations by #OpenDR researchers next week at #MMSP2020 and #MLSP2020 ! ✔Don't forget to visit our website: opendr.eu #machinelearning #ai #artificialintelligence #deeplearning #futuretechnology #researchers #new #europe #robotics #toolkit #robots
Felicia Ruppel at #MLSP2020 on pseudo-Huber loss funcs (quadratic near 0, linear away from 0) replacing Frobenius norm for [noise/outlier] robust matrix completion github.com/FeliciaRu/robu… 📄 Globally optimal robust matrix completion based on M-estimation researchgate.net/profile/Michae…
IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 takes place online Sep 21–24. Registration is **free of charge** and closes Sep 13. Full program and registration: ieeemlsp.cc
“SUccessive DOwnsampling and Resampling of Multi-Resolution Features” (SuDoRMRF) convolutional net! Efficient NN for E2E general purpose audio source separation, presented at #MLSP2020 (U. Illinois & Adobe) arxiv.org/abs/2007.06833 Similar to ConvTasNet (arxiv.org/abs/1809.07454)
First call for papers: The 30th IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 will be in Finland in one year. Mark your calendars. Prospective authors are invited to submit papers next spring. See full announcement here: users.aalto.fi/~asolin/mlsp/2…
The #MLSP2020 Best Student Paper Award winners are now on the conference web site ieeemlsp.cc/awards/. Congratulations to the winners!
Call for papers: The 30th IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 (ieeemlsp.cc). Authors are invited to submit papers on relevant algorithms and applications: ieeemlsp.cc/call-for-paper… (submission DL May 3)
First day of #MLSP2020 with first lecture session streaming over Zoom. My home studio is all set. Looking forward to many presentations: ieeemlsp.cc/full-program/
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