Canjie Luo, Yuanzhi Zhu, Lianwen Jin, Yongpan Wang

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data augmentation, text recognition, joint training

Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

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generative model

Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani and

Rathinakumar Appuswamy, Dharmendra S. Modha

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deep learning, low precision, classification, quantization

Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein

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deep learning, machine learning, robustness, adversarial robustness and security, domain adaptation

Moran Shkolnik, Brian Chmiel, Ron Banner and

Gil Shomron, Yury Nahshan, Alex Bronstein, Uri Weiser

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Durga S, Rishabh Iyer, Ganesh Ramakrishnan, Abir De

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, Algorithms, Online Learning, Algorithms, Supervised Learning

Diane Bouchacourt, Mark Ibrahim, Ari Morcos

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machine learning, transformers

Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann

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sparse features, reinforcement learning, key point detection, feature description, feature matching, relative pose estimation, ransac, essential matrix, sift, superpoint

Mike Kasper, Fernando Nobre, Christoffer Heckman, Nima Keivan

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Muchen Li, Leonid Sigal

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transformers, vision

Shivam Chandhok, Vineeth N Balasubramanian

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Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf

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vision, generative model, meta learning

Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson

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A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Gunes Baydin

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generative model, domain adaptation, representation learning

Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari

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combinatorial problem, unsupervised tasks, named recognition, broad-coverage models

Eleni Triantafillou, Hugo Larochelle, Richard Zemel, Vincent Dumoulin

Keywords Abstract Paper

Algorithms, Multitask, Transfer, and Meta Learning

Muhammad Haris Khan, Syed Muhammad talha Zaidi, Salman Khan, Fahad Shahbaz Khan

Keywords Abstract Paper

out-of-domain robustness, domain generalization, domain adaptation, convolutional neural networks, data augmentation, feature augmentation, subspace similarity, covariate shift, in-domain generalization, robust objective function

Hao Liu, Dong Li, JinZhang Peng and

Qingjie Zhao, Lu Tian, Yi Shan

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Udit Maniyar, Joseph K J, Aniket Anand Deshmukh and

Urun Dogan, Vineeth N Balasubramanian

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Domain Generalization, zero-shot learning, semantic space, multi task learning, Learning with limited data, representation learning, classification

Dongfang Xu, Zeyu Zhang, Steven Bethard

Keywords Abstract Paper

Biomedical Normalization, Concept normalization, Generate-and-Rank Framework, Semantic Regularization

Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

Keywords Abstract Paper

optimization, machine learning, representation learning, interpretability

Guoqing Wang, Hu Han, Shiguang Shan, Xilin Chen

Keywords Abstract Paper

face presentation attack detection, face anti-spoofing, cross-domain, disentangled representation learning, multi-domain learning.

Serban Stan, Mohammad Rostami

Keywords Abstract Paper

Andreas Robinson, Felix Järemo Lawin, Martin Danelljan and

Fahad Shahbaz Khan, Michael Felsberg

Keywords Abstract Paper

video object segmentation, semi-supervised

Iacopo Masi, Joe Mathai, Wael AbdAlmageed

Keywords Abstract Paper

face segmentation, occlusion detection, face, face parsing, semantic segmentation, smoothness, structure, pixel-wise loss, encoder-decoder

Xianghui Yang, Bairun Wang, Xinchi Zhou and

Kaige Chen, Shuai Yi, Wanli Ouyang, Luping Zhou

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Few-shot Semantic Segmentation, Few-shot learning, Semantic Segmentation

Fabio Cermelli, Massimiliano Mancini, Yongqin Xian and

Zeynep Akata, Barbara Caputo

Keywords Abstract Paper

segmentation, incremental learning, continual learning, few shot learning, any shot learning, prototype, knowledge distillation

Yue Wang, Justin Solomon

Keywords Abstract Paper

vision, graph learning

Georg Kohl, Kiwon Um, Nils Thuerey

Keywords Abstract Paper

General Machine Learning Techniques

Dmytro Borysenko, Dmytro Mykheievskyi, Viktor Porokhonskyy

Keywords Abstract Paper

Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

Keywords Abstract Paper

Source Summarization, summarization, ablation studies, Transformer-based Approach

Elahe Arani, Fahad Sarfraz, Bahram Zonooz

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Adversarial Robustness, Generalization, Adversarial Training, Deep Learning, Collaborative Learning

Yue Cao, Hanqi Jin, Xiaojun Wan, Zhiwei Yu

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domain adaptation, natural language processing, automated essay scoring, self-supervised learning

Yiping Song, Zequn Liu, Wei Bi and

Rui Yan, Ming Zhang

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Few-shot Tasks, open-domain systems, generative models, meta-learning framework

Zhichun Huang, Shaojie Bai, J. Zico Kolter

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deep learning, representation learning

Xiang Gu, Xi Yu, yan yang and

Jian Sun, Zongben Xu

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domain adaptation

Marvin Zhang, Henrik Marklund, Nikita Dhawan and

Abhishek Gupta, Sergey Levine, Chelsea Finn

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machine learning, robustness, vision, domain adaptation

Mathieu Page Fortin, Brahim Chaib-draa

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Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo

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facial image manipulation, face segmentation, image synthesis, generative adversarial network

Robin Rombach, Patrick Esser, Bjorn Ommer

Keywords Abstract Paper