1 citations · 1 across the 4 of their papers we have counts for
4 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…
QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms
Guillaume Berger, Manik Dhingra, Antoine Mercier +3
In this work, we present QuickSRNet, an efficient super-resolution architecture for real-time applications on mobile platforms. Super-resolution clarifies, sharpens, and upscales a…