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08/22/2023
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
Spatially dense self-supervised learning is a rapidly growing problem do...
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08/14/2023
Efficient Neural PDE-Solvers using Quantization Aware Training
In the past years, the application of neural networks as an alternative ...
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07/17/2023
Semantic Counting from Self-Collages
While recent supervised methods for reference-based object counting cont...
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06/16/2023
BISCUIT: Causal Representation Learning from Binary Interactions
Identifying the causal variables of an environment and how to intervene ...
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04/03/2023
Self-Ordering Point Clouds
In this paper we address the task of finding representative subsets of p...
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02/01/2023
Towards Label-Efficient Incremental Learning: A Survey
The current dominant paradigm when building a machine learning model is ...
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01/05/2023
Skip-Attention: Improving Vision Transformers by Paying Less Attention
This work aims to improve the efficiency of vision transformers (ViT). W...
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10/19/2022
VTC: Improving Video-Text Retrieval with User Comments
Multi-modal retrieval is an important problem for many applications, suc...
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10/12/2022
Prompt Generation Networks for Efficient Adaptation of Frozen Vision Transformers
Large-scale pretrained models, especially those trained from vision-lang...
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10/12/2022
Self-Guided Diffusion Models
Diffusion models have demonstrated remarkable progress in image generati...
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09/07/2022
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
Self-supervised visual representation learning has recently attracted si...
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06/13/2022
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects
Causal representation learning is the task of identifying the underlying...
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05/23/2022
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements
The growing capability and availability of generative language models ha...
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04/27/2022
Self-Supervised Learning of Object Parts for Semantic Segmentation
Progress in self-supervised learning has brought strong general image re...
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04/19/2022
Less than Few: Self-Shot Video Instance Segmentation
The goal of this paper is to bypass the need for labelled examples in fe...
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02/07/2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Understanding the latent causal factors of a dynamical system from visua...
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12/01/2021
Extrapolating from a Single Image to a Thousand Classes using Distillation
What can neural networks learn about the visual world from a single imag...
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09/27/2021
PASS: An ImageNet replacement for self-supervised pretraining without humans
Computer vision has long relied on ImageNet and other large datasets of ...
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07/09/2021
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Hateful memes pose a unique challenge for current machine learning syste...
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06/09/2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
In video transformers, the time dimension is often treated in the same w...
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04/13/2021
Self-supervised object detection from audio-visual correspondence
We tackle the problem of learning object detectors without supervision. ...
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03/18/2021
Space-Time Crop Attend: Improving Cross-modal Video Representation Learning
The quality of the image representations obtained from self-supervised l...
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03/11/2021
Privacy-preserving Object Detection
Privacy considerations and bias in datasets are quickly becoming high-pr...
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02/08/2021
How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases
The capabilities of natural language models trained on large-scale data ...
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06/24/2020
Labelling unlabelled videos from scratch with multi-modal self-supervision
A large part of the current success of deep learning lies in the effecti...
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03/09/2020
Multi-modal Self-Supervision from Generalized Data Transformations
Self-supervised learning has advanced rapidly, with several results beat...
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04/30/2019
