@article{tsouvalas2023federated,title={Federated Fine-Tuning of Foundation Models via Probabilistic Masking},show_bib={true},author={Tsouvalas, Vasileios and Asano, Yuki M. and Saeed, Aaqib},year={2023},journal={arXiv: 2311.17299}}
VeRA: Vector-based Random Matrix Adaptation
Dawid Kopiczko, Tijmen Blankevoort, and Yuki M. Asano
@article{kopiczko2023vera,title={VeRA: Vector-based Random Matrix Adaptation},show_bib={true},author={Kopiczko, Dawid and Blankevoort, Tijmen and Asano, Yuki M.},year={2023},journal={arXiv: 2310.11454}}
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano ⁺, and Yannis Avrithis ⁺
@article{venkataramanan2023imagenet,show_bib={true},author={Venkataramanan, Shashanka and Rizve, Mamshad Nayeem and Carreira, João and ⁺, Yuki M. Asano and ⁺, Yannis Avrithis},year={2023},journal={arXiv: 2310.08584}}
Small Visual Language Models can also be Open-Ended Few-Shot Learners
Mohammad Mahdi Derakhshani⁺, Ivona Najdenkoska⁺, Marcel Worring*, Cees G.M. Snoek*, and Yuki M. Asano*
@article{derakhshani2023small,title={Small Visual Language Models can also be Open-Ended Few-Shot Learners},show_bib={true},author={Derakhshani⁺, Mohammad Mahdi and Najdenkoska⁺, Ivona and Worring*, Marcel and Snoek*, Cees G.M. and Asano*, Yuki M.},year={2023},journal={arXiv: 2310.00500}}
Efficient Neural PDE-Solvers using Quantization Aware Training
Winfried Dool, Tijmen Blankevoort, Max Welling, and Yuki M. Asano
ICCV Workshop on Resource Efficient Deep Learning for Computer Vision, 2023
@article{dool2023efficient,title={Efficient Neural PDE-Solvers using Quantization Aware Training},show_bib={true},author={van den Dool, Winfried and Blankevoort, Tijmen and Welling, Max and Asano, Yuki M.},year={2023},journal={ICCV Workshop on Resource Efficient Deep Learning for Computer Vision}}
@article{knobel2023semantic,title={Semantic Counting from Self-Collages},show_bib={true},author={Knobel, Lukas and Han*, Tengda and Asano*, Yuki M.},year={2023},journal={arXiv: 2307.08727}}
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
@article{salehi2023time,title={Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations},show_bib={true},author={Salehi, Mohammadreza and Gavves, Efstratios and Snoek, Cees G. M. and Asano, Yuki M.},year={2023},journal={ICCV}}
@article{yang2023self,title={Self-Ordering Point Clouds},show_bib={true},author={Yang, Pengwan and Snoek*, Cees G. M. and Asano*, Yuki M.},year={2023},journal={ICCV}}
BISCUIT: Causal Representation Learning from Binary Interactions
@article{lippe2023biscuit,title={{BISCUIT}: Causal Representation Learning from Binary Interactions},show_bib={true},author={Lippe, Phillip and Magliacane, Sara and L{\"o}we, Sindy and Asano, Yuki M. and Cohen, Taco and Gavves, Efstratios},year={2023},journal={UAI}}
Skip-Attention: Improving Vision Transformers by Paying Less Attention
@article{venkataramanan2023skip,title={Skip-Attention: Improving Vision Transformers by Paying Less Attention},author={Venkataramanan, Shashanka and Ghodrati, Amir and Asano, Yuki M and Porikli, Fatih and Habibian, Amirhossein},journal={arXiv preprint arXiv:2301.02240},year={2023}}
Towards Label-Efficient Incremental Learning: A Survey
@article{kilickaya2023towards,title={Towards Label-Efficient Incremental Learning: A Survey},show_bib={true},author={Kilickaya, Mert and van de Weijer, Joost and Asano, Yuki M.},year={2023},journal={arXiv: 2302.00353}}
@article{Hu2023self,author={Hu, Vincent Tao and Zhang, David W. and Asano, Yuki M. and Burghouts, Gertjan J. and Snoek, Cees G.M.},title={Self-Guided Diffusion Models},journal={CVPR},year={2023}}
No time to waste: practical statistical contact tracing with few low-bit messages
@article{romijnders2023no,title={No time to waste: practical statistical contact tracing with few low-bit messages},author={Romijnders, Rob and Asano, Yuki M and Louizos, Christos and Welling, Max},journal={AISTATS},year={2023},organization={PMLR}}
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
@article{asano2023extrapolating,title={The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image},author={Asano*, Yuki M. and Saeed*, Aaqib},journal={ICLR},year={2023}}
Causal Representation Learning for Instantaneous and Temporal Effects
@article{lippe2023causal,title={Causal Representation Learning for Instantaneous and Temporal Effects},author={Lippe, Phillip and Magliacane, Sara and L{\"o}we, Sindy and Asano, Yuki M. and Cohen, Taco and Gavves, Efstratios},journal={ICLR},year={2023}}
2022
Prompt Generation Networks for Efficient Adaptation of Frozen Vision Transformers
Jochem Loedeman, Maarten Stol, Tengda Han, and Yuki M. Asano
@article{Loedeman2022prompt,author={Loedeman, Jochem and Stol, Maarten and Han, Tengda and Asano, Yuki M.},title={Prompt Generation Networks for Efficient Adaptation of Frozen Vision Transformers},year={2022}}
Self-supervised learning of object parts for semantic segmentation
@article{ziegler2022self,title={Self-supervised learning of object parts for semantic segmentation},author={Ziegler, Adrian and Asano, Yuki M},journal={CVPR},year={2022}}
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements
Conrad Borchers, Dalia Sara Gala, Benjamin Gilburt, Eduard Oravkin, Wilfried Bounsi, Yuki M. Asano, and Hannah Rose Kirk
@article{borchers2022looking,title={Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements},author={Borchers, Conrad and Gala, Dalia Sara and Gilburt, Benjamin and Oravkin, Eduard and Bounsi, Wilfried and Asano, Yuki M. and Kirk, Hannah Rose},year={2022},journal={NAACL workshop on Gender Bias in NLP}}
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing
@article{laina2020measuring,title={Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing},author={Laina, Iro and Asano, Yuki M. and Vedaldi, Andrea},year={2022},journal={ICLR}}
CITRIS: Causal Identifiability from Temporal Intervened Sequences
@article{hanu2022vtc,title={VTC: Improving Video-Text Retrieval with User Comments},author={Hanu, Laura and Asano, Yuki M and James, Thewlis and Rupprecht, Christian},journal={ECCV},year={2022}}
Less Than Few: Self-shot Video Instance Segmentation
@article{yang2022less,title={Less Than Few: Self-shot Video Instance Segmentation},author={Yang, Pengwan and Asano, Yuki M and Mettes, Pascal and Snoek, Cees G.M.},journal={ECCV},year={2022}}
Self-supervised object detection from audio-visual correspondence
Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, and Florian Metze
@article{afouras2021selfsupervised,title={Self-supervised object detection from audio-visual correspondence},author={Afouras, Triantafyllos and Asano, Yuki M. and Fagan, Francois and Vedaldi, Andrea and Metze, Florian},year={2022},journal={CVPR}}
2021
Emergent inequality and business cycles in a simple behavioral macroeconomic model
Yuki M. Asano, Jakob J. Kolb, Jobst Heitzig, and J. Doyne Farmer
Proceedings of the National Academy of Sciences (PNAS), 2021
@article{asano2021emergent,author={Asano, Yuki M. and Kolb, Jakob J. and Heitzig, Jobst and Farmer, J. Doyne},title={Emergent inequality and business cycles in a simple behavioral macroeconomic model},year={2021},publisher={National Academy of Sciences},journal={Proceedings of the National Academy of Sciences (PNAS)}}
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
@article{patrick2021keeping,title={Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers},author={Patrick*, Mandela and Campbell*, Dylan and Asano*, Yuki M. and Misra, Ishan and Metze, Florian and Feichtenhofer, Christoph and Vedaldi, Andrea and Henriques, João F.},journal={NeurIPS},year={2021}}
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Hannah Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, and Yuki M Asano
@article{kirk2021memes,title={Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset},author={Kirk, Hannah and Jun, Yennie and Rauba, Paulius and Wachtel, Gal and Li, Ruining and Bai, Xingjian and Broestl, Noah and Doff-Sotta, Martin and Shtedritski, Aleksandar and Asano, Yuki M},journal={ACL WOAH workshop 2021},year={2021}}
Support-set bottlenecks for video-text representation learning
@article{patrick2021support,title={Support-set bottlenecks for video-text representation learning},author={Patrick*, Mandela and Huang*, Po-Yao and Asano*, Yuki M. and Metze, Florian and Hauptmann, Alexander and Henriques, João F. and Vedaldi, Andrea},year={2021},journal={ICLR}}
On Compositions of Transformations in Contrastive Self-Supervised Learning
@article{patrick2020multimodal,title={On Compositions of Transformations in Contrastive Self-Supervised Learning},author={Patrick*, Mandela and Asano*, Yuki M. and Kuznetsova, Polina and Fong, Ruth and Henriques, João F. and Zweig, Geoffrey and Vedaldi, Andrea},year={2021},journal={ICCV}}
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frederic A. Dreyer, Aleksandar Shtedritski, and Yuki M. Asano
@article{Kirk2021bias,title={Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models},author={Kirk, Hannah and Jun, Yennie and Iqbal, Haider and Benussi, Elias and Volpin, Filippo and Dreyer, Frederic A. and Shtedritski, Aleksandar and Asano, Yuki M.},year={2021},journal={NeurIPS}}
Privacy-preserving Object Detection
Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, and Yuki M. Asano
@article{he2021privacypreserving,title={Privacy-preserving Object Detection},author={He, Peiyang and Griffin, Charlie and Kacprzyk, Krzysztof and Joosen, Artjom and Collyer, Michael and Shtedritski, Aleksandar and Asano, Yuki M.},year={2021},eprint={2103.06587},journal={arXiv},}
Space-time crop & attend: Improving cross-modal video representation learning
@article{patrick2021space,title={Space-time crop \& attend: Improving cross-modal video representation learning},author={Patrick*, Mandela and Huang*, Po-Yao and Asano*, Yuki M. and Misra, Ishan and Metze, Florian and Vedaldi, Andrea and Henriques, João F.},journal={ICCV},year={2021}}
PASS: An ImageNet replacement for self-supervised pretraining without humans
@article{asano21pass,author={Asano, Yuki M. and Rupprecht, Christian and Zisserman, Andrew and Vedaldi, Andrea},title={PASS: An ImageNet replacement for self-supervised pretraining without humans},journal={NeurIPS Track on Datasets and Benchmarks},year={2021}}
2020
Labelling unlabelled videos from scratch with multi-modal self-supervision
@article{asano2021labelling,title={Labelling unlabelled videos from scratch with multi-modal self-supervision},author={Asano, Yuki M. and Patrick, Mandela and Rupprecht, Christian and Vedaldi, Andrea},journal={NeurIPS},year={2020}}
Self-labelling via simultaneous clustering and representation learning
@article{asano2020self,title={Self-labelling via simultaneous clustering and representation learning},author={Asano, Yuki M. and Rupprecht, Christian and Vedaldi, Andrea},journal={ICLR},year={2020}}
A critical analysis of self-supervision, or what we can learn from a single image
@article{asano2020a,title={A critical analysis of self-supervision, or what we can learn from a single image},author={Asano, Yuki M. and Rupprecht, Christian and Vedaldi, Andrea},journal={ICLR},year={2020}}
