Nicklas Hansen, Hao Su, Xiaolong Wang

Keywords Abstract Paper

reinforcement learning and planning, transformers

William Gilpin

Keywords Abstract Paper

Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano and

Michael Arbel, Michael Jordan

Keywords Abstract Paper

reinforcement learning and planning, bandits

Dustin Wright, Isabelle Augenstein

Keywords Abstract Paper

unsupervised adaptation, cnns, rnns, domain classifiers

Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic and

Ce Zhang, Bo Li

Keywords Abstract Paper

Algorithms, Adversarial Examples

Elbruz Ozen, Alex Orailoglu

Keywords Abstract Paper

deep learning, information redundancy, pruning

Daniel J. Mankowitz, Nir Levine, Rae Jeong and

Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy Mann, Martin Riedmiller

Keywords Abstract Paper

reinforcement learning, robustness

Jiani Huang, Ziyang Li, Binghong Chen and

Karan Samel, Mayur Naik, Le Song, Xujie Si

Keywords Abstract Paper

deep learning, transformers, vision

Huan Zhang, Hongge Chen, Chaowei Xiao and

Bo Li, Mingyan Liu, Duane Boning, Cho-Jui Hsieh

Keywords Abstract Paper

Enrico Marchesini, Davide Corsi, Alessandro Farinelli

Keywords Abstract Paper

Evolutionary Algorithms, Deep Reinforcement Learning, Machine Learning for Robotics, Formal Verification

Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee

Keywords Abstract Paper

Deep reinforcement learning, Generalization in visual domains

Yijue Dai, Tianjian Zhang, Zhidi Lin and

Feng Yin, Sergios Theodoridis, Shuguang Cui

Keywords Abstract Paper

Soumya Ghosh, Will Stephenson, Stan Nguyen and

Sameer Deshpande, Tamara Broderick

Keywords Abstract Paper

Krishnendu Chatterjee, Martin Chmelík, Deep Karkhanis and

Petr Novotný, Amélie Royer

Keywords Abstract Paper

Markov decision processes, recommender systems, parameterized MDPs, partially observable MDPs

Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima and

Yutaka Matsuo, Shixiang (Shane) Gu

Keywords Abstract Paper

reinforcement learning and planning

Ajay Tanwani

Keywords Abstract Paper

Gongfan Fang, Jie Song, Xinchao Wang and

Chengchao Shen, Xingen Wang, Mingli Song

Keywords Abstract Paper

Machine Learning, Deep Learning, Explainable/Interpretable Machine Learning, Transfer, Adaptation, Multi-task Learning

Roberta Raileanu, Maxwell Goldstein, Denis Yarats and

Ilya Kostrikov, Rob Fergus

Keywords Abstract Paper

reinforcement learning and planning, machine learning

Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Michael Persson

Keywords Abstract Paper

uncertainty, sparsity, depth completion, bayesian deep learning, normalized convolution, real-time

Huichen Li, Xiaojun Xu, Xiaolu Zhang and

Shuang Yang, Bo Li

Keywords Abstract Paper

adversarial machine learning, black-box attack, boundary-based attack, attacking public api

Kaichen Zhou, Changhao Chen, Bing Wang and

Muhamad Risqi U. Saputra, Niki Trigoni, Andrew Markham

Keywords Abstract Paper

Xiaojie Guo, Yuanqi Du, Liang Zhao

Keywords Abstract Paper

deep generative models, disentangled representation learning, interpretable latent representation

Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan

Keywords Abstract Paper

Vivek B.S., R. Venkatesh Babu

Keywords Abstract Paper

adversarial training, robustness, efficient training, representation learning, generalization, supervised learning, recognition, classification, neural networks, deep learning

Theo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal

Keywords Abstract Paper

deep learning, interpretability

Cagatay Yildiz, Markus Heinonen, Harri Lähdesmäki

Keywords Abstract Paper

Reinforcement Learning and Planning

Fan Bao, Guoqiang Wu, Chongxuan LI and

Jun Zhu, Bo Zhang

Keywords Abstract Paper

optimization

Huan Ma, Zongbo Han, Changqing Zhang and

Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

Keywords Abstract Paper

Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

Keywords Abstract Paper

Son Nguyen, Duong Nguyen, Khai Nguyen and

Khoat Than, Hung Bui, Nhat Ho

Keywords Abstract Paper

deep learning, generative model

Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu

Keywords Abstract Paper

few-shot learning, data augmentation, feature hallucination, generative adversarial networks

Abdul Fatir Ansari, Ming Liang Ang, Harold Soh

Keywords Abstract Paper

Normalizing Flow, gradient flows, VAE, GAN, generative models

Tianhe (Kevin) Yu, Saurabh Kumar, Abhishek Gupta and

Sergey Levine, Karol Hausman, Chelsea Finn

Keywords Abstract Paper

Shengyu Zhao, Jonathan Cui, Yilun Sheng and

Yue Dong, Xiao Liang, Eric Chang, Yan Xu

Keywords Abstract Paper

co-modulation, image completion, generative adversarial networks

Peng-Fei Zhang, Zi Huang, Xin-Shun Xu

Keywords Abstract Paper

Xin Sun, Zhenning Yang, Chi Zhang and

Keck-Voon Ling, Guohao Peng

Keywords Abstract Paper

open set recognition, conditional variational auto-encoder, gaussian distribution learning, probabilistic ladder architecture.

Tianlong Chen, Zhenyu Zhang, Sijia Liu and

Shiyu Chang, Zhangyang Wang

Keywords Abstract Paper

Robust Overfitting, Adversarial Training, Adversarial Robustness

Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun, Ajmal Mian

Keywords Abstract Paper

interpreting deep learning, adversarial attack, explanation attack, explainable ai, image generation

Rong Wang, Jitao Lu, Yihang Lu and

Feiping Nie, Xuelong Li

Keywords Abstract Paper

Machine Learning, Clustering, Kernel Methods, Multi-instance; Multi-label; Multi-view learning

Jang-Hyun Kim, Wonho Choo, Hyun Oh Song

Keywords Abstract Paper

Deep Learning - Algorithms