output
20132025
most citedZoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

167 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2025

Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery

Mélisande Teng, Arthur Ouaknine, Etienne Laliberté +3

Information on trees at the individual level is crucial for monitoring forest ecosystems and planning forest management. Current monitoring methods involve ground measurements, req…

cs.CV2022★ 20 cited

Image Retrieval from Contextual Descriptions

Benno Krojer, Vaibhav Adlakha, Vibhav Vineet +3

The ability to integrate context, including perceptual and temporal cues, plays a pivotal role in grounding the meaning of a linguistic utterance. In order to measure to what exten…

cs.CV2021★ 2 cited

The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods

Louis Thiry, Michael Arbel, Eugene Belilovsky +1

A recent line of work showed that various forms of convolutional kernel methods can be competitive with standard supervised deep convolutional networks on datasets like CIFAR-10, o…

cs.CV2020★ 4 cited

S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning

Karsten Roth, Timo Milbich, Björn Ommer +2

Deep Metric Learning (DML) provides a crucial tool for visual similarity and zero-shot applications by learning generalizing embedding spaces, although recent work in DML has shown…

cs.CV2020★ 2 cited

Visual Concept Reasoning Networks

Taesup Kim, Sungwoong Kim, Yoshua Bengio

A split-transform-merge strategy has been broadly used as an architectural constraint in convolutional neural networks for visual recognition tasks. It approximates sparsely connec…

cs.CV2017★ 73 cited

Residual Connections Encourage Iterative Inference

Stanisław Jastrzębski, Devansh Arpit, Nicolas Ballas +3

Residual networks (Resnets) have become a prominent architecture in deep learning. However, a comprehensive understanding of Resnets is still a topic of ongoing research. A recent…

cs.CV2016★ 13 cited

Online and Offline Handwritten Chinese Character Recognition: A Comprehensive Study and New Benchmark

Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu

Recent deep learning based methods have achieved the state-of-the-art performance for handwritten Chinese character recognition (HCCR) by learning discriminative representations di…