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1. Robust-Multimodal-Contrastive-Learning Robust-Multimodal-Contrastive-Learning Public

   Motivated 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

2. Meta-Learner-LSTM-for-Few-Shot-Learning Meta-Learner-LSTM-for-Few-Shot-Learning Public

   Ravi & 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…

   Jupyter Notebook 6 1

3. A-Comparison-Between-Two-Manifold-Techniques A-Comparison-Between-Two-Manifold-Techniques Public

   This 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

4. Emotion-Analysis-On-Opensubtitle- Emotion-Analysis-On-Opensubtitle- Public

   In 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…

   Jupyter Notebook 1 1

5. DeepRL-A2C-Miniproject DeepRL-A2C-Miniproject Public

   In 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

6. KPMG_ML_Challenge KPMG_ML_Challenge Public

   ML_Challenge For KPMG