Amir Zandieh, Insu Han, Haim Avron and

Neta Shoham, Chaewon Kim, Jinwoo Shin

Keywords Abstract Paper

deep learning, optimization, machine learning, kernel methods

Lifeng Zhang

Keywords Abstract Paper

theory

Tong Chen, Jean Lasserre, Victor Magron, Edouard Pauwels

Keywords Abstract Paper

Junbum Cha, Sanghyuk Chun, Kyungjae Lee and

Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park

Keywords Abstract Paper

robustness, domain adaptation

Edoardo Cetin, Oya Celiktutan

Keywords Abstract Paper

Reinforcement Learning and Planning, Deep RL

Runhao Zeng, Haoming Xu, Wenbing Huang and

Peihao Chen, Mingkui Tan, Chuang Gan

Keywords Abstract Paper

video grounding, sparse annotations, dense regression, multi-level fusion

Yong Wang, Longyue Wang, Victor Li, Zhaopeng Tu

Keywords Abstract Paper

nmt architectures, over-parameterization, underutilization resources, redundant parameters

Arman Adibi, Aryan Mokhtari, Hamed Hassani

Keywords Abstract Paper

Zhushou Tang, Ke Tang, Minhui Xue and

Yuan Tian, Sen Chen, Muhammad Ikram, Tielei Wang, Haojin Zhu

Keywords Abstract Paper

Kristian Miok, Gregor Pirs, Marko Robnik-Sikonja

Keywords Abstract Paper

Jason Klusowski

Keywords Abstract Paper

Wenlong Huang, Igor Mordatch, Deepak Pathak

Keywords Abstract Paper

Reinforcement Learning - Deep RL

Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo

Keywords Abstract Paper

Alice Tarzariol, Martin Gebser, Konstantin Schekotihin

Keywords Abstract Paper

Knowledge Representation and Reasoning, Leveraging Knowledge and Learning, Explainable/Interpretable Machine Learning, Constraints

Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee

Keywords Abstract Paper

generalization bounds, adversarial attacks/defenses, deep learning theory, curvature estimates, decision boundary geometry, Brownian motion

Sebastian Maneth, Helmut Seidl

Keywords Abstract Paper

Top-Down Tree Transducers, Earliest Transformation, Linear Transducers, Uniform-copying Transucers, Removal of Look-ahead, Removal of Inspection

Gabriele Farina, Christian Kroer, Tuomas Sandholm

Keywords Abstract Paper

Learning Theory

Emile Mathieu, Adam Foster, Yee Teh

Keywords Abstract Paper

machine learning, meta learning, contrastive learning, representation learning

Hsin-Yu Huang, Chih-Wei Ning, Po-Yao Wang and

Jen-Hao Cheng, Lung-Pan Cheng

Keywords Abstract Paper

encounter-type haptic feedback, props, virtual reality

Zihang Meng, Lopamudra Mukherjee, Yichao Wu and

Vikas Singh, Sathya Narayanan Ravi

Keywords Abstract Paper

deep learning, optimization

Sungyong Seo, Sercan Arik, Jinsung Yoon and

Xiang Zhang, Kihyuk Sohn, Tomas Pfister

Keywords Abstract Paper

deep learning

Nino Vieillard, Olivier Pietquin, Matthieu Geist

Keywords Abstract Paper

Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang

Keywords Abstract Paper

Tianlong Chen, Yongduo Sui, Xuxi Chen and

Aston Zhang, Zhangyang Wang

Keywords Abstract Paper

Deep Learning, Architectures

Nimrod Segol, Yaron Lipman

Keywords Abstract Paper

deep learning, universality, set functions, equivariance

Jan Hendrik Metzen, Maksym Yatsura

Keywords Abstract Paper

aversarial examples, robustness, adversarial patch, certified defense

Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun

Keywords Abstract Paper

Boyang Deng, Kyle Genova, Soroosh Yazdani and

Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi

Keywords Abstract Paper

3d deep learning, 3d reconstruction, shape representation, convex decomposition, single-view reconstruction, physics simulation, differentiable rendering, inverse graphics, shape analysis, geometric processing

Archit Sharma, Abhishek Gupta, Sergey Levine and

Karol Hausman, Chelsea Finn

Keywords Abstract Paper

reinforcement learning and planning

Le Wu, Yonghui Yang, Lei Chen and

Defu Lian, Richang Hong, Meng Wang

Keywords Abstract Paper

graph neural network, content based recommendation, inductive graph learning

Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama

Keywords Abstract Paper

machine learning, online learning

Dominic Danks, Christopher Yau

Keywords Abstract Paper

Probabilistic Methods, Others

Jiaqi Ma, Xinyang Yi, Weijing Tang and

Zhe Zhao, Lichan Hong, Ed Chi, Qiaozhu Mei

Keywords Abstract Paper

Brian McMahan, Matthew Stone

Keywords Abstract Paper

Nastaran Babanejad, Ameeta Agrawal, Aijun An, Manos Papagelis

Keywords Abstract Paper

Word Learning, Affective Tasks, sentiment analysis, emotion classification

Hunter Lang, David Sontag, Aravindan Vijayaraghavan

Keywords Abstract Paper

Probabilistic Methods, Approximate Inference

Chiradeep Roy, Tahrima Rahman, Hailiang Dong and

Nicholas Ruozzi, Vibhav Gogate

Keywords Abstract Paper

Winston Wu, Dustin Arendt, Svitlana Volkova

Keywords Abstract Paper

Stephen Cranefield, Ashish Dhiman

Keywords Abstract Paper

Agent-based and Multi-agent Systems, Normative systems, Agent Societies, Bayesian Learning

Hao-Shu Fang, Yichen Xie, Dian Shao, Cewu Lu

Keywords Abstract Paper