Nathaniel Weir, João Sedoc, Benjamin Van Durme

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causal generation, cods, neural models, seqseqs

Harshay Shah, Prateek Jain, Praneeth Netrapalli

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machine learning, robustness, adversarial robustness and security, vision, interpretability

Richard Pang, He He

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learning from demonstrations, nlp, text generation

Zuchao Li, Rui Wang, Kehai Chen and

Masso Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao

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Gaussian Prior Objective, Language Generation

Alexander Hoyle, Pranav Goel, Andrew Hian-Cheong and

Denis Peskov, Jordan Boyd-Graber, Philip Resnik

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Juri Opitz

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Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham, Pushmeet Kohli

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Adversarial Learning, Robust Representations, Variational AutoEncoder, Wasserstein Distance, Variational Inference

Mahtab Tamannaee, Hossein Fani, Fattane Zarrinkalam and

Jamil Samouh, Samad Paydar, Ebrahim Bagheri

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gold standard dataset, query refinement, reproducibility

Bhargavi Paranjape, Mandar Joshi, John Thickstun and

Hannaneh Hajishirzi, Luke Zettlemoyer

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language understanding, semi-supervised setting, complex models, explainer

Yihan Wang, Beining Han, Tonghan Wang and

Heng Dong, Chongjie Zhang

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Multi-Agent Reinforcement Learning, Multi-Agent Policy Gradients

Peter Harrison, Raja Marjieh, Fede G Adolfi and

Pol van Rijn, Manuel Anglada-Tort, Ofer Tchernichovski, Pauline Larrouy-Maestri, Nori Jacoby

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Rexhina Blloshmi, Simone Conia, Rocco Tripodi, Roberto Navigli

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Natural Language Processing, Natural Language Semantics, Natural Language Generation, Natural Language Processing

Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi

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saliency, attribution, unifying framework, interpretability, backpropagation methods

Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro

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Wei Tang, Chien-Ju Ho, Yang Liu

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Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher

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assessing algorithms, natural inference, fact checking, auxiliary tasks

Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain

Keywords Abstract Paper

Learning Theory

Wei Cheng, Ziyan Luo, Qiyue Yin

Keywords Abstract Paper

Taehwan Kwon

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Information theory, Unsupervised reinforcement learning

Jiaming Song, Stefano Ermon

Keywords Abstract Paper

Jakub Grudzien Kuba, Muning Wen, Linghui Meng and

shangding gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang

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deep learning, reinforcement learning and planning

Woon Sang Cho, Yizhe Zhang, Sudha Rao and

Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan

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Rui Zhao, Hui Su, Qiang Ji

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probabilistic graphical model, adversarial learning, bayesian inference, data synthesis, data restoration, motion capture, human dynamics

Rostislav Horčík, Daniel Fišer

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Yilin Xiong, Zijian Zhou, Yuhao Dou, Zhizhong Su

Keywords Abstract Paper

Xisen Jin, Zhongyu Wei, Junyi Du and

Xiangyang Xue, Xiang Ren

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natural language processing, interpretability

Erenay Dayanik, Sebastian Padó

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Masking Information, Fairer Detection, Computational Sciences, Computational

Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek

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David Lindner, Matteo Turchetta, Sebastian Tschiatschek and

Kamil Ciosek, Andreas Krause

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reinforcement learning and planning, active learning

Yang Li, Junier Oliva

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Deep Learning, Generative Models, Applications, Computational Biology and Bioinformatics, Reinforcement Learning and Planning, Deep RL

Elias Ramzi, Nicolas THOME, Clément Rambour and

Nicolas Audebert, Xavier Bitot

Keywords Abstract Paper

deep learning

Lili Chen, Kevin Lu, Aravind Rajeswaran and

Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

Keywords Abstract Paper

deep learning, reinforcement learning and planning, transformers, generative model

Tom Pelsmaeker, Wilker Aziz

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Estimation Models, parameterisation models, posterior collapse, language modelling

Yuxin Wang, Hongtao Xie, Zheng-Jun Zha and

Mengting Xing, Zilong Fu, Yongdong Zhang

Keywords Abstract Paper

scene text detection, arbitrary shapes, false-positive suppression, large scale variance

Raphael Schumann, Lili Mou, Yao Lu and

Olga Vechtomova, Katja Markert

Keywords Abstract Paper

Unsupervised Summarization, Word-Level Extraction, Automatic summarization, Discrete Optimization

Mo Yu, Yang Zhang, Shiyu Chang, Tommi Jaakkola

Keywords Abstract Paper

deep learning, language, interpretability

Bosheng Ding, Linlin Liu, Lidong Bing and

Canasai Kruengkrai, Thien Hai Nguyen, Shafiq Joty, Luo Si, Chunyan Miao

Keywords Abstract Paper

machine learning, generalization, low-resource tasks, named recognition

Botao Hao, Yaqi Duan, Tor Lattimore and

Csaba Szepesvari, Mengdi Wang

Keywords Abstract Paper

Theory, Statistical Learning Theory

Xiaofeng Fan, Yining Ma, Zhongxiang Dai and

Wei Jing, Cheston Tan, Bryan Kian Hsiang Low

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optimization, reinforcement learning and planning, adversarial robustness and security, federated learning

Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudik

Keywords Abstract Paper

Online Learning, Active Learning, and Bandits