56 citations · 81 across the 5 of their papers we have counts for
5 papers
Your Context Is Not an Array: Unveiling Random Access Limitations in Transformers
MohammadReza Ebrahimi, Sunny Panchal, Roland Memisevic
Despite their recent successes, Transformer-based large language models show surprising failure modes. A well-known example of such failure modes is their inability to length-gener…
Painter: Teaching Auto-regressive Language Models to Draw Sketches
Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal +3
Large language models (LLMs) have made tremendous progress in natural language understanding and they have also been successfully adopted in other domains such as computer vision,…
Is end-to-end learning enough for fitness activity recognition?
Antoine Mercier, Guillaume Berger, Sunny Panchal +5
End-to-end learning has taken hold of many computer vision tasks, in particular, related to still images, with task-specific optimization yielding very strong performance. Neverthe…
On Using Very Large Target Vocabulary for Neural Machine Translation
Sébastien Jean, Kyunghyun Cho, Roland Memisevic +1
Neural machine translation, a recently proposed approach to machine translation based purely on neural networks, has shown promising results compared to the existing approaches suc…
On multi-view feature learning
Roland Memisevic
Sparse coding is a common approach to learning local features for object recognition. Recently, there has been an increasing interest in learning features from spatio-temporal, bin…