Laurent Orseau, Marcus Hutter, Omar Rivasplata

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Ankit Pensia, Shashank Rajput, Alliot Nagle and

Harit Vishwakarma, Dimitrios Papailiopoulos

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Reinforcement Learning and Planning -> Model-Based RL; Reinforcement Learning and Planning -> Planning; Reinforcement Learning , Reinforcement Learning and Planning

Christopher Brix, Parnia Bahar, Hermann Ney

Keywords Abstract Paper

inference, time-critical computations, transformer architecture, WMT tasks

Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida and

Kenji Umakoshi, Tomohiro INOUE

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deep learning, optimization

Zeru Zhang, Jiayin Jin, Zijie Zhang and

Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou

Keywords Abstract Paper

theory, deep learning, optimization

Xiaohan Chen, Yu Cheng, Shuohang Wang and

Zhe Gan, Jingjing Liu, Zhangyang Wang

Keywords Abstract Paper

Pedro Savarese, Hugo Silva, Michael Maire

Keywords Abstract Paper

Shuai Zhang, Meng Wang, Sijia Liu and

Pin-Yu Chen, Jinjun Xiong

Keywords Abstract Paper

theory, deep learning, optimization, vision, language

Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi and

Ali Farhadi, Mohammad Rastegari

Keywords Abstract Paper

optimization, subnetworks, sparsity, initialization, inductive bias

Haoran You, Chaojian Li, Pengfei Xu and

Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin

Keywords Abstract Paper

Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos

Keywords Abstract Paper

lottery tickets, nlp, transformer, rl, reinforcement learning

Hidenori Tanaka, Daniel Kunin, Daniel Yamins, Surya Ganguli

Keywords Abstract Paper

Deep Learning -> Optimization for Deep Networks; Optimization -> Non-Convex Optimization, Theory

George Christodoulou, Elias Koutsoupias, Annamária Kovács

Keywords Abstract Paper

incentive compatible scheduling, submodular optimization, Nisan-Ronen conjecture

Tianlong Chen, Zhenyu Zhang, Sijia Liu and

Shiyu Chang, Zhangyang Wang

Keywords Abstract Paper

lifelong learning, lottery tickets, winning tickets

Yonggan Fu, Qixuan Yu, Yang Zhang and

Shang Wu, Xu Ouyang, David Cox, Yingyan Lin

Keywords Abstract Paper

deep learning, robustness, adversarial robustness and security

Maxwell M Aladago, Lorenzo Torresani

Keywords Abstract Paper

Deep Learning, Optimization for Deep Networks

Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang

Keywords Abstract Paper

Deep Learning, Architectures

Tadashi Kozuno, Pierre Ménard, Remi Munos, Michal Valko

Keywords Abstract Paper

reinforcement learning and planning, bandits, online learning

Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg

Keywords Abstract Paper

Shiwei Liu, Tim Van der Lee, Anil Yaman and

Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

Keywords Abstract Paper

sparse neural networks, neural network sparse topology distance, adaptive sparse connectivity, graph edit distance

Tianyi Chen, Bo Ji, Tianyu Ding and

Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu

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deep learning, optimization, reinforcement learning and planning

Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi

Keywords Abstract Paper

Yihan Du, Yuko Kuroki, Wei Chen

Keywords Abstract Paper

theory, reinforcement learning and planning, bandits

Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu and

Mohammad Salameh, Keith Mills, Shuo Lian, Wei Lu, Shangling Jui

Keywords Abstract Paper

Machine Learning, Adversarial Machine Learning, Applications of Reinforcement Learning, Combinatorial Search and Optimisation

Zhuo Sun, Jijie Wu, Xiaoxu Li and

Wenming Yang, Jing-Hao Xue

Keywords Abstract Paper

Colin Wei, Kendrick Shen, Yining Chen, Tengyu Ma

Keywords Abstract Paper

deep learning theory, semi-supervised learning theory, unsupervised learning theory, domain adaptation theory

Yibo Yang, Hongyang Li, Shan You and

Fei Wang, Chen Qian, Zhouchen Lin

Keywords Abstract Paper

James Diffenderfer, Bhavya Kailkhura

Keywords Abstract Paper

Pruning, Lottery Ticket Hypothesis, Binary Neural Networks

Kevin Xia, Kai-Zhan Lee, Yoshua Bengio, Elias Bareinboim

Keywords Abstract Paper

deep learning, causality

Jingtong Su, Yihang Chen, Tianle Cai and

Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason Lee

Keywords Abstract Paper

Deep Learning -> Adversarial Networks; Deep Learning -> Deep Autoencoders; Deep Learning -> Generative Models, Theory -> Learning Theory

Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin

Keywords Abstract Paper

Algorithms, Multitask and Transfer Learning, Algorithms, Meta-Learning; Applications, Object Recognition; Data, Challenges, Implementations, and Software, Benchmarks;, Theory, RL, Decisions and Control Theory

Kaifeng Lyu, Zhiyuan Li, Runzhe Wang, Sanjeev Arora

Keywords Abstract Paper

deep learning, optimization, machine learning

François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer

Keywords Abstract Paper

Shreyas Malakarjun Patil, Constantine Dovrolis

Keywords Abstract Paper

Deep Learning

Ning Liu, Geng Yuan, Zhengping Che and

Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang

Keywords Abstract Paper

Deep Learning

Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni and

Yin Tat Lee, Hanwen Shen, Uthaipon Tantipongpipat

Keywords Abstract Paper

deep learning, privacy

Konstantinos Pitas

Keywords Abstract Paper

Deep Learning - Theory

Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio

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time series forecasting, deep learning

Dylan J Foster, Akshay Krishnamurthy

Keywords Abstract Paper

theory, reinforcement learning and planning, bandits, online learning

Wei Hu, Lechao Xiao, Ben Adlam, Jeffrey Pennington

Keywords Abstract Paper