Yuki Markus Asano

Mohammad Mahdi Derakhshani

CoRR, 2023

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video.

[BibT_eX]

[DOI]

Shashanka Venkataramanan

CoRR, 2023

Small Visual Language Models can also be Open-Ended Few-Shot Learners.

[BibT_eX]

[DOI]

CoRR, 2023

Semantic Counting from Self-Collages.

[BibT_eX]

[DOI]

Lukas Knobel

Tengda Han

CoRR, 2023

Towards Label-Efficient Incremental Learning: A Survey.

[BibT_eX]

[DOI]

Mert Kilickaya

Joost van de Weijer

CoRR, 2023

Skip-Attention: Improving Vision Transformers by Paying Less Attention.

[BibT_eX]

[DOI]

Shashanka Venkataramanan

CoRR, 2023

BISCUIT: Causal Representation Learning from Binary Interactions.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image.

[BibT_eX]

[DOI]

Aaqib Saeed

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Neural PDE-Solvers using Quantization Aware Training.

[BibT_eX]

[DOI]

Winfried van den Dool

Tijmen Blankevoort

Max Welling

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Ordering Point Clouds.

[BibT_eX]

[DOI]

Pengwan Yang

Cees G. M. Snoek

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Guided Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

No time to waste: practical statistical contact tracing with few low-bit messages.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Prompt Generation Networks for Efficient Adaptation of Frozen Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing.

[BibT_eX]

[DOI]

Iro Laina

CoRR, 2022

iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects.

[BibT_eX]

[DOI]

CoRR, 2022

Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements.

[BibT_eX]

[DOI]

CoRR, 2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences.

[BibT_eX]

[DOI]

CoRR, 2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing.

[BibT_eX]

[DOI]

Iro Laina

Proceedings of the Tenth International Conference on Learning Representations, 2022

Less Than Few: Self-shot Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

VTC: Improving Video-Text Retrieval with User Comments.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Self-Supervised Learning of Object Parts for Semantic Segmentation.

[BibT_eX]

[DOI]

Adrian Ziegler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-supervised object detection from audio-visual correspondence.

[BibT_eX]

[DOI]

Triantafyllos Afouras

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Extrapolating from a Single Image to a Thousand Classes using Distillation.

[BibT_eX]

[DOI]

Aaqib Saeed

CoRR, 2021

Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset.

[BibT_eX]

[DOI]

CoRR, 2021

Privacy-preserving Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases.

[BibT_eX]

[DOI]

CoRR, 2021

Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers.

[BibT_eX]

[DOI]

Christoph Feichtenhofer

João F. Henriques

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PASS: An ImageNet replacement for self-supervised pretraining without humans.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Support-set bottlenecks for video-text representation learning.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

João F. Henriques

Proceedings of the 9th International Conference on Learning Representations, 2021

On Compositions of Transformations in Contrastive Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Multi-modal Self-Supervision from Generalized Data Transformations.

[BibT_eX]

[DOI]

CoRR, 2020

Labelling unlabelled videos from scratch with multi-modal self-supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-labelling via simultaneous clustering and representation learning.

[BibT_eX]

[DOI]

Christian Rupprecht

Proceedings of the 8th International Conference on Learning Representations, 2020

A critical analysis of self-supervision, or what we can learn from a single image.

[BibT_eX]

[DOI]

Christian Rupprecht

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Surprising Effectiveness of Few-Image Unsupervised Feature Learning.

[BibT_eX]

[DOI]

Christian Rupprecht