-
ETH Zurich
- Zurich
- https://www.stanfurrer.ch/
Pinned Loading
-
Robust-Multimodal-Contrastive-Learning
Robust-Multimodal-Contrastive-Learning PublicMotivated by the potential synergy between robust optimization and multimodal contrastive learning, we present in this paper RMCL a robust multimodal contrastive learning. The goal is to reinforce …
Python 1
-
Meta-Learner-LSTM-for-Few-Shot-Learning
Meta-Learner-LSTM-for-Few-Shot-Learning PublicRavi & Larochelle have addressed the weakness of neural networks trained with gradient-based optimization on the few-shot learning problem with an LSTM-based meta-learner. Our paper expands the per…
-
A-Comparison-Between-Two-Manifold-Techniques
A-Comparison-Between-Two-Manifold-Techniques PublicThis paper comprehensively reviews and discusses LLE and its modified version. Their stability with various data and hyper parameters is depicted as well as their performance of topology preservati…
Jupyter Notebook
-
Emotion-Analysis-On-Opensubtitle-
Emotion-Analysis-On-Opensubtitle- PublicIn this paper, we present a data-driven approach to the segmentation of subtitles in movie into a speaker-aligned dataset. On this novel dataset, we applied our pre-train BERT model to label the di…
-
DeepRL-A2C-Miniproject
DeepRL-A2C-Miniproject PublicIn this project we taught an agent to play the game Pong from the PyGame learning environment. We used policy gradient approaches to learn the task : Actor Critic Versus Advantage Actor-Critic (A2C)
Jupyter Notebook 1
-
If the problem persists, check the GitHub status page or contact support.